diff --git a/content/authors/alex/_index.md b/content/authors/alex/_index.md new file mode 100644 index 000000000..0d7b61e87 --- /dev/null +++ b/content/authors/alex/_index.md @@ -0,0 +1,72 @@ +--- +# Display name +title: Alexander Nies + + +# Full name (for SEO) +first_name: Alexander +last_name: Nies + +# Username (this should match the folder name) +authors: + - alex + +# Is this the primary user of the site? +superuser: false + +# Role/position +role: Algorithm Design for Efficient Flowsheet Synthesis and Optimisation + + +# Organizations/Affiliations +# organizations: +# - name: Stanford University +# url: '' + +# Short bio (displayed in user profile at end of posts) +bio: Alex completed his MEng in Chemical Engineering at Imperial in 2025, graduating with First Class Honours. In his last year, he received the Roger Sargent Prize for his master’s thesis on the application of computers to the solution of chemical engineering problems, titled “Three-dimensional effects on carbon capture in wavy falling films.” Alex is currently a PhD candidate researching algorithmic design for generating chemical engineering process flowsheets automatically. By creating a method to generate reliable flowsheets automatically, it allows chemical engineers to screen different process alternatives more efficiently, and to optimise the selection and connection between different process operation units. + +interests: + - Data-Driven Optimization + - Hybrid Modelling + - Deep Learning + +education: + courses: + - course: MEng Chemical Engineering + institution: Imperial College London + year: 2021-2025 + +# professional experience: +# experiences: + + +# Social/Academic Networking +# For available icons, see: https://wowchemy.com/docs/getting-started/page-builder/#icons +# For an email link, use "fas" icon pack, "envelope" icon, and a link in the +# form "mailto:your-email@example.com" or "#contact" for contact widget. +social: + - icon: linkedin + icon_pack: fab + link: https://www.linkedin.com/in/alexandernies/ + - icon: github + icon_pack: fab + link: https://github.com/Alexnies + +# Link to a PDF of your resume/CV from the About widget. +# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below. +# - icon: cv +# icon_pack: ai +# link: files/cv.pdf + +# Enter email to display Gravatar (if Gravatar enabled in Config) +email: '' + +# Organizational groups that you belong to (for People widget) +# Set this to `[]` or comment out if you are not using People widget. +user_groups: + - PhD Students +--- +--- + +Alex completed his MEng in Chemical Engineering at Imperial in 2025, graduating with First Class Honours. In his last year, he received the Roger Sargent Prize for his master’s thesis on the application of computers to the solution of chemical engineering problems, titled “Three-dimensional effects on carbon capture in wavy falling films.” Alex is currently a PhD candidate researching algorithmic design for generating chemical engineering process flowsheets automatically. By creating a method to generate reliable flowsheets automatically, it allows chemical engineers to screen different process alternatives more efficiently, and to optimise the selection and connection between different process operation units. \ No newline at end of file diff --git a/content/authors/alex/avatar.jpg b/content/authors/alex/avatar.jpg new file mode 100644 index 000000000..6c657f3c6 Binary files /dev/null and b/content/authors/alex/avatar.jpg differ diff --git a/content/authors/ammar/_index.md b/content/authors/ammar/_index.md new file mode 100644 index 000000000..3b36ba111 --- /dev/null +++ b/content/authors/ammar/_index.md @@ -0,0 +1,73 @@ +--- +# Display name +title: Ammar Ali + + +# Full name (for SEO) +first_name: Ammar +last_name: Ali + +# Username (this should match the folder name) +authors: + - ammar + +# Is this the primary user of the site? +superuser: false + +# Role/position +role: Multi-Agent LLMs for Chemical Lab Management Assistance + +# Organizations/Affiliations +# organizations: +# - name: Stanford University +# url: '' + +# Short bio (displayed in user profile at end of posts) +bio: Ammar is a PhD student and part of the Collaborative Computational Modelling at the Interface (CCMI) CDT. His research focuses on the application of multi agent LLMs for chemical lab management assistance. He graduated from the University of Manchester with a MEng in Chemical Engineering with Industrial Experience. + + +interests: + - Multi-Agent systems + - Large Language Models + - Human in the Loop validation + - Automation + +education: + courses: + - course: MEng Chemical Engineering + institution: Imperial College London + year: 2021-2025 + +# professional experience: +# experiences: + + +# Social/Academic Networking +# For available icons, see: https://wowchemy.com/docs/getting-started/page-builder/#icons +# For an email link, use "fas" icon pack, "envelope" icon, and a link in the +# form "mailto:your-email@example.com" or "#contact" for contact widget. +social: + - icon: linkedin + icon_pack: fab + link: https://www.linkedin.com/in/ammar-ali2/ + - icon: github + icon_pack: fab + link: https://github.com/aliammar0161 + +# Link to a PDF of your resume/CV from the About widget. +# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below. +# - icon: cv +# icon_pack: ai +# link: files/cv.pdf + +# Enter email to display Gravatar (if Gravatar enabled in Config) +email: '' + +# Organizational groups that you belong to (for People widget) +# Set this to `[]` or comment out if you are not using People widget. +user_groups: + - PhD Students +--- +--- + +Ammar is a PhD student and part of the Collaborative Computational Modelling at the Interface (CCMI) CDT. His research focuses on the application of multi agent LLMs for chemical lab management assistance. He graduated from the University of Manchester with a MEng in Chemical Engineering with Industrial Experience. diff --git a/content/authors/ammar/avatar.jpg b/content/authors/ammar/avatar.jpg new file mode 100644 index 000000000..5ea6352e4 Binary files /dev/null and b/content/authors/ammar/avatar.jpg differ diff --git a/content/authors/ana/_index.md b/content/authors/ana/_index.md index 1cd9aa565..8f54147d7 100644 --- a/content/authors/ana/_index.md +++ b/content/authors/ana/_index.md @@ -14,7 +14,7 @@ authors: superuser: false # Role/position -role: Research Associate +role: Research Scientist, Former Postdoctoral Research Associate at OptiML 2023-2025 # Organizations/Affiliations # organizations: @@ -76,7 +76,7 @@ email: '' # Organizational groups that you belong to (for People widget) # Set this to `[]` or comment out if you are not using People widget. user_groups: - - Postdoctoral & Affiliated Researchers + - Alumni --- A results-driven research associate, Ana possesses expertise in modeling, simulation, and optimization of industrial processes, particularly gas separation systems. Her work centers on improving efficiency and performance within carbon capture processes, leading to cost reductions and a more sustainable operational footprint. Her interests lie in process system engineering, hybrid modeling, digital twins, and furthering advancements in carbon capture technology. \ No newline at end of file diff --git a/content/authors/buse/_index.md b/content/authors/buse/_index.md index 7e5790d96..79b0e6c51 100644 --- a/content/authors/buse/_index.md +++ b/content/authors/buse/_index.md @@ -1,6 +1,6 @@ --- # Display name -title: Buse Sibel Korkmaz +title: Dr. Buse Sibel Korkmaz # Full name (for SEO) first_name: Buse Sibel @@ -14,7 +14,7 @@ authors: superuser: false # Role/position -role: Advancing Large Language Models for Comprehensive Scientific Assistance +role: Applied Scientist II at Amazon AGI, former PhD student at OptiML (2021-2025) # Organizations/Affiliations # organizations: @@ -74,7 +74,7 @@ email: '' # Organizational groups that you belong to (for People widget) # Set this to `[]` or comment out if you are not using People widget. user_groups: - - PhD Students + - Alumni --- Buse is a PhD candidate with research focus on improving capabilities of multi-modal AI models to have comprehensive understanding of scientific documents such as conference papers. She is also interested in factuality and fairness in large models such as LLMs. Before her PhD, she was an undergraduate student at Istanbul Technical University studying a double major in Computer Engineering and Industrial Engineering. \ No newline at end of file diff --git a/content/authors/daniel/_index.md b/content/authors/daniel/_index.md index fcc08acee..3b2ea47c1 100644 --- a/content/authors/daniel/_index.md +++ b/content/authors/daniel/_index.md @@ -14,7 +14,7 @@ authors: superuser: false # Role/position -role: Research Assistant +role: Postdoctoral Research Associate # Organizations/Affiliations # organizations: @@ -22,7 +22,7 @@ role: Research Assistant # url: '' # Short bio (displayed in user profile at end of posts) -bio: Daniel is a Research Assistant working on Value & Supply Chain Design and Optimisation. He holds a PhD in Chemical and Environmental Engineering from the University of Padova, where his research focused on the optimal design of sustainable production systems. Daniel's expertise includes developing advanced optimisation strategies and integrating sustainability into supply chains. His work combines mathematical optimisation, decision-making under uncertainty, and supply chain management, using techniques like robust and stochastic optimisation to enhance decision-making and improve supply chain performance in chemical processes and manufacturing. +bio: Daniel is a Postdoctoral Research Associate working on Value & Supply Chain Design and Optimisation. He holds a PhD in Chemical and Environmental Engineering from the University of Padova, where his research focused on the optimal design of sustainable production systems. Daniel's expertise includes developing advanced optimisation strategies and integrating sustainability into supply chains. His work combines mathematical optimisation, decision-making under uncertainty, and supply chain management, using techniques like robust and stochastic optimisation to enhance decision-making and improve supply chain performance in chemical processes and manufacturing. interests: - Supply Chain Optimization @@ -66,4 +66,4 @@ user_groups: - Postdoctoral & Affiliated Researchers --- -Daniel is a Research Assistant working on Value & Supply Chain Design and Optimisation. He holds a PhD in Chemical and Environmental Engineering from the University of Padova, where his research focused on the optimal design of sustainable production systems. Daniel's expertise includes developing advanced optimisation strategies and integrating sustainability into supply chains. His work combines mathematical optimisation, decision-making under uncertainty, and supply chain management, using techniques like robust and stochastic optimisation to enhance decision-making and improve supply chain performance in chemical processes and manufacturing. +Daniel is a Postdoctoral Research Associate working on Value & Supply Chain Design and Optimisation. He holds a PhD in Chemical and Environmental Engineering from the University of Padova, where his research focused on the optimal design of sustainable production systems. Daniel's expertise includes developing advanced optimisation strategies and integrating sustainability into supply chains. His work combines mathematical optimisation, decision-making under uncertainty, and supply chain management, using techniques like robust and stochastic optimisation to enhance decision-making and improve supply chain performance in chemical processes and manufacturing. diff --git a/content/authors/haiting/_index.md b/content/authors/haiting/_index.md index 051bd90c0..b35700c4f 100644 --- a/content/authors/haiting/_index.md +++ b/content/authors/haiting/_index.md @@ -1,6 +1,6 @@ --- # Display name -title: Haiting Wang +title: Dr. Haiting Wang # Full name (for SEO) first_name: Haiting @@ -14,7 +14,8 @@ authors: superuser: false # Role/position -role: Hybrid modeling for bioprocesses - merging first principles and machine learning +role: AI Infrastructure Engineer at Huawei, former PhD student at OptiML (2021-2025) + # Organizations/Affiliations # organizations: @@ -64,7 +65,7 @@ email: '' # Organizational groups that you belong to (for People widget) # Set this to `[]` or comment out if you are not using People widget. user_groups: - - PhD Students + - Alumni --- Haiting is a PhD candidate specializing in Digital Twinning for bioprocesses, incorporating hybrid and data-driven models. Her research emphasizes machine learning applications in surrogate modelling, time series prediction, and reinforcement learning for process modelling, scheduling, and optimization in bioengineering. This work has led to a novel framework that merges kinetic modelling with machine learning to optimize dynamic systems. Before her PhD, she was an undergraduate student at Dalian University of Technology and University of Manchester in Chemical Engineering. \ No newline at end of file diff --git a/content/authors/ilya/_index.md b/content/authors/ilya/_index.md index bbf4a4d40..c56385a7c 100644 --- a/content/authors/ilya/_index.md +++ b/content/authors/ilya/_index.md @@ -1,6 +1,6 @@ --- # Display name -title: Ilya Orson Sandoval +title: Dr. Ilya Orson Sandoval # Full name (for SEO) first_name: Ilya @@ -14,7 +14,7 @@ authors: superuser: false # Role/position -role: Knowledge-driven Autonomous Systems - Neural ODEs and Reinforcement Learning +role: AI Research Scientist at American Express, former PhD student at OptiML (2021-2025) # Organizations/Affiliations # organizations: @@ -74,7 +74,7 @@ email: '' # Organizational groups that you belong to (for People widget) # Set this to `[]` or comment out if you are not using People widget. user_groups: - - PhD Students + - Alumni --- I am a PhD candidate at Imperial College London, where my research focuses on the intersection of reinforcement learning, differentiable programming and nonlinear optimal control. Curiosity driven, usually by applied mathematics and computer simulations with applications over multiple fields! Previously, I worked in data science and software engineering within the energy and food industries in Mexico. I have a background in theoretical and computational physics. \ No newline at end of file diff --git a/content/authors/isabela/_index.md b/content/authors/isabela/_index.md new file mode 100644 index 000000000..35e85dbe7 --- /dev/null +++ b/content/authors/isabela/_index.md @@ -0,0 +1,75 @@ +--- +# Display name +title: Isabela Fons + +# Full name (for SEO) +first_name: Isabela +last_name: Fons + +# Username (this should match the folder name) +authors: + - isabela +# Is this the primary user of the site? +superuser: false + +# Role/position +role: Multi-Agent Reinforcement Learning for Energy Flexibility Optimisation + +# Organizations/Affiliations +# organizations: +# - name: Stanford University +# url: '' + +# Short bio (displayed in user profile at end of posts) +bio: Isabela is a visiting PhD student from the University of Alicante, whose thesis explores how machine learning can be harnessed to optimize chemical processes under uncertainty. During her time with us, she has worked on multiagent reinforcement learning applied to the optimization of energy microgrids. Beyond research, she is passionate about teaching and science communication, and she has actively contributed to public engagement as an organizer of the Pint of Science Festival in her hometown. + +interests: + - Reinforcement Learning + - Model Predictive Control + - Bilevel Optimization + +education: + courses: + - course: MSc in Process Engineering + institution: ETH Zurich + year: 2022 + - course: BSc in Chemical Engineering + institution: UA - Universidad de Alicante / Universitat d'Alacant + year: 2020 + +professional experience: + experiences: + - experience: Junior Process Engineer + institution: Tecnicas Reunidas + year: 2022-2023 + - experience: Process Engineering Intern + institution: DataHow AG + year: 2021 + +# Social/Academic Networking +# For available icons, see: https://wowchemy.com/docs/getting-started/page-builder/#icons +# For an email link, use "fas" icon pack, "envelope" icon, and a link in the +# form "mailto:your-email@example.com" or "#contact" for contact widget. +social: + - icon: linkedin + icon_pack: fab + link: https://www.linkedin.com/in/isabelafons/ + - icon: github + icon_pack: fab + link: https://github.com/isfons +# Link to a PDF of your resume/CV from the About widget. +# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below. +# - icon: cv +# icon_pack: ai +# link: files/cv.pdf + +# Enter email to display Gravatar (if Gravatar enabled in Config) +email: '' + +# Organizational groups that you belong to (for People widget) +# Set this to `[]` or comment out if you are not using People widget. +user_groups: + - Visitors +--- + +Isabela is a visiting PhD student from the University of Alicante, whose thesis explores how machine learning can be harnessed to optimize chemical processes under uncertainty. During her time with us, she has worked on multiagent reinforcement learning applied to the optimization of energy microgrids. Beyond research, she is passionate about teaching and science communication, and she has actively contributed to public engagement as an organizer of the Pint of Science Festival in her hometown. \ No newline at end of file diff --git a/content/authors/isabela/avatar.jpg b/content/authors/isabela/avatar.jpg new file mode 100644 index 000000000..f7df7368a Binary files /dev/null and b/content/authors/isabela/avatar.jpg differ diff --git a/content/authors/laurae/_index.md b/content/authors/laurae/_index.md new file mode 100644 index 000000000..e4d35d0f2 --- /dev/null +++ b/content/authors/laurae/_index.md @@ -0,0 +1,71 @@ +--- +# Display name +title: Laura Ellington + +# Full name (for SEO) +first_name: Laura +last_name: Ellington + +# Username (this should match the folder name) +authors: + - laurae + +# Is this the primary user of the site? +superuser: false + +# Role/position +role: Decarbonising Chemical Value Chains using AI Agents + +# Organizations/Affiliations +# organizations: +# - name: Stanford University +# url: '' + +# Short bio (displayed in user profile at end of posts) +bio: Laura Ellington is a PhD researcher at Imperial College London, where she is part of the Sargent Centre for Process Systems Engineering and the Centre for Doctoral Training in Green Industrial Futures. Her current research, under the supervision of Antonio del Rio Chanona and Benoit Chachuat, focuses on developing artificial intelligence tools to support decision-making for decarbonising chemical value chains. By integrating machine learning and process optimisation methods, her work seeks to support sustainable chemicals manufacturing, in partnership with BASF. + +interests: + - Value Chain Optimization + - Large Language Models + - Tool Development + +education: + courses: + - course: MSci Chemistry with a Year in Industry + institution: Imperial College London + year: 2020-2025 + +professional experience: + experiences: + - experience: Synthetic Chemist + institution: Syngenta + year: 2023-2024 + +# Social/Academic Networking +# For available icons, see: https://wowchemy.com/docs/getting-started/page-builder/#icons +# For an email link, use "fas" icon pack, "envelope" icon, and a link in the +# form "mailto:your-email@example.com" or "#contact" for contact widget. +social: + - icon: github + icon_pack: fab + link: https://github.com/laura-ellington + - icon: linkedin + icon_pack: fab + link: https://www.linkedin.com/in/laura-ellington-imperial/ + +# Link to a PDF of your resume/CV from the About widget. +# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below. +# - icon: cv +# icon_pack: ai +# link: files/cv.pdf + +# Enter email to display Gravatar (if Gravatar enabled in Config) +email: '' + +# Organizational groups that you belong to (for People widget) +# Set this to `[]` or comment out if you are not using People widget. +user_groups: + - PhD Students +--- + +Laura Ellington is a PhD researcher at Imperial College London, where she is part of the Sargent Centre for Process Systems Engineering and the Centre for Doctoral Training in Green Industrial Futures. Her current research, under the supervision of Antonio del Rio Chanona and Benoit Chachuat, focuses on developing artificial intelligence tools to support decision-making for decarbonising chemical value chains. By integrating machine learning and process optimisation methods, her work seeks to support sustainable chemicals manufacturing, in partnership with BASF. \ No newline at end of file diff --git a/content/authors/laurae/avatar.jpg b/content/authors/laurae/avatar.jpg new file mode 100644 index 000000000..f23b69394 Binary files /dev/null and b/content/authors/laurae/avatar.jpg differ diff --git a/content/authors/luxi/_index.md b/content/authors/luxi/_index.md index d7b2f0c58..42e7a281a 100644 --- a/content/authors/luxi/_index.md +++ b/content/authors/luxi/_index.md @@ -1,6 +1,6 @@ --- # Display name -title: Luxi Yu +title: Dr. Luxi Yu # Full name (for SEO) first_name: Luxi @@ -14,7 +14,7 @@ authors: superuser: false # Role/position -role: Towards online quality control of biotherapeutics through soft sensing of intracellular states +role: Bioprocess Modelling Engineer at Polymodels Hub, former PhD student at OptiML (2021-2025) # Organizations/Affiliations # organizations: @@ -56,7 +56,7 @@ email: '' # Organizational groups that you belong to (for People widget) # Set this to `[]` or comment out if you are not using People widget. user_groups: - - PhD Students + - Alumni --- My name is Luxi and I’m a final year PhD student supervised by Cleo Kontoravdi and co-supervised by Antonio del Rio Chanona. My research interest lies in between process modelling simulation and biotherapeutics production in mammalian cell culture. My PhD project consists of both the computational side and the experimental side in the wet lab. \ No newline at end of file diff --git a/content/authors/matthew/_index.md b/content/authors/matthew/_index.md index 73d30a2a1..cb5071e20 100644 --- a/content/authors/matthew/_index.md +++ b/content/authors/matthew/_index.md @@ -14,7 +14,7 @@ authors: superuser: false # Role/position -role: Robust Data Driven Modelling, Optimisation and Control +role: Probabilistic Machine Learning for Modelling, Control and Optimisation of Process Systems under Uncertainty # Organizations/Affiliations # organizations: @@ -47,11 +47,17 @@ professional experience: # form "mailto:your-email@example.com" or "#contact" for contact widget. social: - icon: linkedin - icon_pack: ai + icon_pack: fab link: https://www.linkedin.com/in/matthew--marsh/ - icon: twitter icon_pack: fab link: https://x.com/matthew_marsh11 + - icon: github + icon_pack: fab + link: https://github.com/matthewmarsh11 + - icon: laptop + icon_pack: fas + link: https://matthewmarsh11.github.io/ # Link to a PDF of your resume/CV from the About widget. # To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below. diff --git a/content/authors/miguel/_index.md b/content/authors/miguel/_index.md index 226828f79..72cb9e04e 100644 --- a/content/authors/miguel/_index.md +++ b/content/authors/miguel/_index.md @@ -1,6 +1,6 @@ --- # Display name -title: Miguel Ángel de Carvalho Servia +title: Dr. Miguel Ángel de Carvalho Servia # Full name (for SEO) first_name: Miguel Ángel @@ -14,7 +14,7 @@ authors: superuser: false # Role/position -role: Automated Knowledge Discovery Methods in Reaction Engineering +role: Process Engineer at PE Ltd, former PhD student at OptiML (2021-2025) # Organizations/Affiliations # organizations: @@ -72,7 +72,7 @@ email: '' # Organizational groups that you belong to (for People widget) # Set this to `[]` or comment out if you are not using People widget. user_groups: - - PhD Students + - Alumni --- Miguel Carvalho is a chemical engineering PhD candidate at Imperial College London, affiliated with the EPSRC CDT in Next Generation Synthesis and Reaction Technology. He earned an MEng in chemical engineering from The University of Manchester (2021) and an MRes in advanced molecular synthesis from Imperial College London (2022). His research intersects data science, chemical engineering, and chemistry, concentrating on algorithmic solutions for automated knowledge discovery in reaction engineering and catalysis. diff --git a/content/authors/rasa/_index.md b/content/authors/rasa/_index.md new file mode 100644 index 000000000..71450e6fc --- /dev/null +++ b/content/authors/rasa/_index.md @@ -0,0 +1,66 @@ +--- +# Display name +title: Rasa Pourjam + +# Full name (for SEO) +first_name: Rasa +last_name: Pourjam + +# Username (this should match the folder name) +authors: + - rasa + +# Is this the primary user of the site? +superuser: false + +# Role/position +role: Research Assistant in Hierarchical Control Strategy and Reinforcement Learning for Process Control + + +# Organizations/Affiliations +# organizations: +# - name: Stanford University +# url: '' + +# Short bio (displayed in user profile at end of posts) +bio: Rasa is a research assistant working on multi-timescale hierarchical control architectures that integrate reinforcement learning with model predictive control for process systems. He completed his postgraduate studies at Imperial College London and his bachelor's degree in chemical engineering at the University of Tehran, and has worked in industry as a process engineering intern. Outside of research, he enjoys playing the piano and creating digital 3D art. + + +interests: + - Model Predictive Control + - Life Cycle Analysis + +education: + courses: + - course: MSc Chemical Engineering + institution: Imperial College London + year: 2024-2025 + - course: BSc Chemical Engineering + institution: University of Tehran + year: 2019-2023 + +# Social/Academic Networking +# For available icons, see: https://wowchemy.com/docs/getting-started/page-builder/#icons +# For an email link, use "fas" icon pack, "envelope" icon, and a link in the +# form "mailto:your-email@example.com" or "#contact" for contact widget. +social: + - icon: linkedin + icon_pack: fab + link: https://www.linkedin.com/in/rasa-pourjam/ + +# Link to a PDF of your resume/CV from the About widget. +# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below. +# - icon: cv +# icon_pack: ai +# link: files/cv.pdf + +# Enter email to display Gravatar (if Gravatar enabled in Config) +email: '' + +# Organizational groups that you belong to (for People widget) +# Set this to `[]` or comment out if you are not using People widget. +user_groups: + - Postdoctoral & Affiliated Researchers +--- + +Rasa is a research assistant working on multi-timescale hierarchical control architectures that integrate reinforcement learning with model predictive control for process systems. He completed his postgraduate studies at Imperial College London and his bachelor's degree in chemical engineering at the University of Tehran, and has worked in industry as a process engineering intern. Outside of research, he enjoys playing the piano and creating digital 3D art. diff --git a/content/authors/rasa/avatar.jpg b/content/authors/rasa/avatar.jpg new file mode 100644 index 000000000..7411b08d7 Binary files /dev/null and b/content/authors/rasa/avatar.jpg differ diff --git a/content/authors/sam/_index.md b/content/authors/sam/_index.md new file mode 100644 index 000000000..5ed142dc1 --- /dev/null +++ b/content/authors/sam/_index.md @@ -0,0 +1,76 @@ +--- +# Display name +title: Sam Stricker + + +# Full name (for SEO) +first_name: Sam +last_name: Stricker + +# Username (this should match the folder name) +authors: + - sam + +# Is this the primary user of the site? +superuser: false + +# Role/position +role: Multi-Agent LLMs for Chemical Lab Management Assistance + +# Organizations/Affiliations +# organizations: +# - name: Stanford University +# url: '' + +# Short bio (displayed in user profile at end of posts) +bio: Samuel Stricker, is a Swiss PhD student in Chemical Engineering at Imperial College London in the groups of Mehmet Mercangöz and Antonio Del Rio Chanona, where he investigates the integration of artificial intelligence and digital twins to enhance manufacturing and laboratory operations. He earned a Master of Science in Chemistry from ETH Zurich, focusing on renewable energy technologies, electrochemistry for energy storage and conversion, machine learning, and hybrid modeling. His master’s thesis, supervised by Prof. Dr. G. G. Gosálbez and Dr. A. Butté, addressed optimal design of experiments for bioprocesses using hybrid models. Professionally, Samuel worked as an Algorithm Research Associate at DataHow AG, advancing methods for uncertainty estimation and experimental optimization in bioprocess development. + +interests: + - Laboratory Automation + - Self Driving Labs + - Bioprocess Modelling + +education: + courses: + - course: MSc Chemistry + institution: ETH Zurich + year: 2023-2024 + - course: BSc Chemistry + institution: ETH Zurich + year: 2018-2023 + +professional experience: + experiences: + - experience: Algorithm Research Associate + institution: DataHow AG + year: 2025 + +# Social/Academic Networking +# For available icons, see: https://wowchemy.com/docs/getting-started/page-builder/#icons +# For an email link, use "fas" icon pack, "envelope" icon, and a link in the +# form "mailto:your-email@example.com" or "#contact" for contact widget. +social: + - icon: linkedin + icon_pack: fab + link: https://www.linkedin.com/in/strickersam/ + - icon: github + icon_pack: ai + link: https://github.com/samstricker + +# Link to a PDF of your resume/CV from the About widget. +# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below. +# - icon: cv +# icon_pack: ai +# link: files/cv.pdf + +# Enter email to display Gravatar (if Gravatar enabled in Config) +email: '' + +# Organizational groups that you belong to (for People widget) +# Set this to `[]` or comment out if you are not using People widget. +user_groups: + - PhD Students +--- +--- + +Samuel Stricker, is a Swiss PhD student in Chemical Engineering at Imperial College London in the groups of Mehmet Mercangöz and Antonio Del Rio Chanona, where he investigates the integration of artificial intelligence and digital twins to enhance manufacturing and laboratory operations. He earned a Master of Science in Chemistry from ETH Zurich, focusing on renewable energy technologies, electrochemistry for energy storage and conversion, machine learning, and hybrid modeling. His master’s thesis, supervised by Prof. Dr. G. G. Gosálbez and Dr. A. Butté, addressed optimal design of experiments for bioprocesses using hybrid models. Professionally, Samuel worked as an Algorithm Research Associate at DataHow AG, advancing methods for uncertainty estimation and experimental optimization in bioprocess development. \ No newline at end of file diff --git a/content/authors/sam/avatar.jpg b/content/authors/sam/avatar.jpg new file mode 100644 index 000000000..9b7fcdd02 Binary files /dev/null and b/content/authors/sam/avatar.jpg differ diff --git a/content/authors/wojciech/_index.md b/content/authors/wojciech/_index.md new file mode 100644 index 000000000..3b37c7e8b --- /dev/null +++ b/content/authors/wojciech/_index.md @@ -0,0 +1,80 @@ +--- +# Display name +title: Dr. Wojciech Stark + +# Full name (for SEO) +first_name: Wojciech +last_name: Stark +# Username (this should match the folder name) +authors: + - wojciech + +# Is this the primary user of the site? +superuser: false + +# Role/position +role: Postdoctoral Research Associate + +# Organizations/Affiliations +# organizations: +# - name: Stanford University +# url: '' + +# Short bio (displayed in user profile at end of posts) +bio: Wojciech obtained his PhD in Chemistry from the University of Warwick, where he developed machine learning models for gas-surface dynamics using uncertainty-driven adaptive sampling. His work focused on machine learning interatomic potentials and models that capture nonadiabatic effects, enabling fast and accurate simulation of dynamics at metal surfaces. In 2025, he joined Imperial as a Research Associate in AI for Chemistry, where he works with multiple research groups within the AIchemy Hub on a collaborative project focused on molecular property prediction and multi-fidelity Bayesian optimisation for chemical experiments. + + +interests: + - Bayesian Optimization + - Data Driven Optimization + +education: + courses: + - course: PhD Computational Chemistry + institution: University of Warwick + year: 2020-2024 + - course: MSc Chemical Technology and Catalysis + institution: Warsaw University of Technology + year: 2017-2018 + - course: BSc Molecular and Applied Biotechnology + institution: Warsaw University of Technology + year: 2012-2016 + +professional experience: + experiences: + - experience: Intern + institution: IMEC, Leuven + year: 2016 + +# Social/Academic Networking +# For available icons, see: https://wowchemy.com/docs/getting-started/page-builder/#icons +# For an email link, use "fas" icon pack, "envelope" icon, and a link in the +# form "mailto:your-email@example.com" or "#contact" for contact widget. +social: + - icon: linkedin + icon_pack: fab + link: https://www.linkedin.com/in/wchstark + - icon: github + icon_pack: ai + link: https://github.com/wgst + - icon: laptop + icon_pack: fas + link: https://wgst.github.io + + +# Link to a PDF of your resume/CV from the About widget. +# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below. +# - icon: cv +# icon_pack: ai +# link: files/cv.pdf + +# Enter email to display Gravatar (if Gravatar enabled in Config) +email: '' + +# Organizational groups that you belong to (for People widget) +# Set this to `[]` or comment out if you are not using People widget. +user_groups: + - Postdoctoral & Affiliated Researchers +--- + +Wojciech obtained his PhD in Chemistry from the University of Warwick, where he developed machine learning models for gas-surface dynamics using uncertainty-driven adaptive sampling. His work focused on machine learning interatomic potentials and models that capture nonadiabatic effects, enabling fast and accurate simulation of dynamics at metal surfaces. In 2025, he joined Imperial as a Research Associate in AI for Chemistry, where he works with multiple research groups within the AIchemy Hub on a collaborative project focused on molecular property prediction and multi-fidelity Bayesian optimisation for chemical experiments. diff --git a/content/authors/wojciech/avatar.jpg b/content/authors/wojciech/avatar.jpg new file mode 100644 index 000000000..1eedc7e23 Binary files /dev/null and b/content/authors/wojciech/avatar.jpg differ