I'm a biomedical engineer passionate about leveraging AI and computational methods to solve complex healthcare challenges. Currently pursuing my Master's in Signal & Image Processing Methods and Applications at Université Grenoble Alpes, I specialize in medical image analysis, deep learning for diagnostics, and computational biology.
Master's in Signal & Image Processing Methods and Applications
Université Grenoble Alpes, Grenoble, France | Sep 2025 - Present
B.E. in Biomedical Engineering
Silesian University of Technology, Gliwice, Poland | Jan 2021 - Jan 2025
Languages & Frameworks
Tools & Platforms
Visualization & Analysis
- Apprenticeship at Silesian University of Technology: Conducting fluorescence microscopy and computational biology analysis
- Applying Machine Learning to extract insights from biomedical datasets
- Advanced Signal & Image Processing techniques for medical applications
- Deep learning for medical image analysis and automated diagnostics
- Chromatin Organization in Neuroendocrine Lung Cancer: Quantitative analysis using PyRadiomics and StarDist for cell nuclei segmentation and chromatin texture feature extraction
- LLM Analysis for Biomedical CV: Comparative study of LLM-generated computer vision algorithms with custom scoring framework
- FISH Probe Quantification: Created pipeline using YOLO and StarDist for nuclei segmentation with PyRadiomics feature extraction for cancer classification
- CNN-Based Malaria Detection: Developed a classifier achieving >95% accuracy with optimized preprocessing pipeline
- Diabetic Retinopathy Screening: Built a YOLO-based detection system for retinal fundus images enabling high-precision automated screening
- MIT OpenCourseWare – Digital Signal Processing (Jan 2025)
- Harvard – Machine Learning & AI with Python (Jan 2025)
- ISO 13485:2016 - Quality Management Systems for Medical Devices (Jul 2025)
💬 Open to collaboration on medical imaging, AI in healthcare, and biomedical signal processing projects!