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Hi, I'm Ekaterina

Machine Learning Engineer

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.

About Me

  • Interests: AI in Medicine, Deep Learning, Data Analysis πŸ“Š

🏒 Professional Experience

  • Alpha3D: Innovating in 3D model generation using deep learning for e-commerce.
  • iCV Research Lab: Research Assistant/Machine Learning Engineer with a focus on visual data analysis and anomaly detection in images.

πŸŽ“ Education

  • 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)

πŸ”§ Skills

  • Languages & Frameworks: Python, PyTorch, MATLAB, Linux, Git
  • Other Skills: AWS, Wet-lab Biology, Teamwork, Time Management, Teaching

πŸ“ Projects

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
  • Artistic and Scientific Interests Overlap on YouTube
  • Smoking Trends Visualization
  • and more

πŸ“¬ Contact Me

Feel free to connect with me!

Exploring the intersection of technology and healthcare to create a better future with AI!

Ekaterina Sedykh's Projects

2022ada icon 2022ada

Materials for Applied Data Analysis CS-401, Fall 2022

3d-gan-mask-to-ct icon 3d-gan-mask-to-ct

Using 3D GANs to generate high-fidelity CT scans from the blueprint: from mask to CT scan

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

gandlf icon gandlf

A generalizable application framework for segmentation, regression, and classification using PyTorch

guided-i2i icon guided-i2i

Combining image-to-image and class guided denoising diffusion probabilistic models.

kaolin-1 icon kaolin-1

A PyTorch Library for Accelerating 3D Deep Learning Research

linguistic-framing icon linguistic-framing

How can linguistic framing shape people’s opinion on environmental topics depending on their moral values?

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