Sen Li
Postdoctoral Fellow @Cheo Research Institute
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WORK HISTORY
Postdoctoral Fellow @Cheo Research Institute
Ottawa, ON, CA
LLM for Clinical Synthetic Text Generation: • Reasoning: GRPO, DAPO, VAPO • Human Preference Alignment: RLHF, DPO • Docker, RunAI, MCP • Few-Shot In-Context Learning, SOAP format, 4-dimension utility evaluation • UltraMedical-70B, OpenBioLLM-70B; OpenAI gpt-4o, Anthropic claude-sonnet-4-5
EDUCATION
University of Kentucky
Master of Electrical Engineering, Image/Signal Processing
McGill University
COMP767, COMP551
Université de Montréal
IFT6135 Representation Learning
École De Technologie Supérieure
Doctor of Philosophy - PhD, Biomedical/Medical Engineering
SKILLS
ABOUT SEN LI
LLM for Clinical Synthetic Text Generation: • Reasoning: GRPO, DAPO, VAPO • Human Preference Alignment: RLHF, DPO • Docker, RunAI, MCP • Few-Shot In-Context Learning, SOAP format, 4-dimension utility evaluation • UltraMedical-70B, OpenBioLLM-70B; OpenAI gpt-4o, Anthropic claude-sonnet-4-5HuggingFace: https://huggingface.co/AllIllusion3D Slicer Extension Development, serial tutorials made for & list=PLTuWbByD80TORd1R-J7j7nVQ9fot3C2fKA+ on IFT6135 Representation Learning, by UdeM Prof. Aaron Courville from MILA;A+ on COMP767 Reinforcement Learning, by McGill Prof. Doina Precup from MILA;A+ on COMP551 Applied Machine Learning, by McGill Prof. William L. Hamilton from MILA.GitHub: https://github.com/SenonLiYouTube: https://youtu.be/jMj5T76BsEcProject Keys:TeamWork, Assumption, Documentation, Logic, Run-time
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