Welcome to my GitHub profile! I am a passionate Machine Learning Engineer specializing in AI for medicine. With diverse experiences across various research labs and projects, I am dedicated to leveraging AI for better healthcare solutions.
- Interests: AI in Medicine, Deep Learning, Data Analysis, Generative Models, Medical Imaging 📊
- 🤖 Bridging AI research and real-world healthcare applications
- 🌍 Open to collaborations in AI for Health, Medical Data Science, and Computer Vision
- Biomedical Computer Vision Group, University of Tartu: Synthetic CT generation using diffusion models to address data scarcity in medical imaging.
- CVLab, EPFL: Universal model development for 3D cardiac segmentation from CT & MRI scans.
- InsureVision: Real-time accident prediction using video transformers.
- Alpha3D: 3D model generation from 2D images, leveraging deep learning for e-commerce.
- WENN ASA: Image-based damage detection with deep learning in production environments.
- iCV Research Lab: Visual data analysis, 3D modeling, and anomaly detection.
- M.Sc. in Life Science Engineering with Data Science Minor - EPFL (2022-2024)
- M.Sc. in Computer Science with AI Specialization - University of Tartu (2022-2024)
- B.Sc. in Bioengineering and Robotics - University of Tartu (2019-2022)
- Languages & Frameworks: Python, PyTorch, MATLAB, Linux, Git
- Other Skills: AWS, Wet-lab Biology, Teamwork, Time Management, Teaching
Detailed analysis and innovative approaches in projects like
- 3D GANs for Medical Image Synthesis
- Cell Instance Segmentation
- Classification of Medical Specialties through Clinical Text Analysis
- Graph Neural Networks for Immunotherapy Response Prediction
- Smoking Trends Visualization
- and more
Feel free to connect with me!
- 📧 Email: katherine.sedykh23@gmail.com
- 📅 Schedule an Online Meeting: Calendly
- 🌐 Portfolio: katesedykh.github.io
Exploring the intersection of technology and healthcare to create a better future with AI!