Qinyun Cai
Medical Student at Carle Illinois College of Medicine
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolQinyun Cai is a software engineer and data scientist turned medical student with eight years of experience building ML-driven applications across healthcare and biotech. They have applied deep learning to ophthalmic OCT data at UC San Diego, developed peptide-binding prediction tools and a Flask-based web platform at IGE Therapeutics, and contributed to production security and data pipelines in industry roles. Based in Chicago, Qinyun blends hands-on engineering (TensorFlow, SVMs, Flask, Raspberry Pi) with a strong data-science foundation and practical deployment experience. Now training in medicine at Carle Illinois, they bridge clinical insight with technical expertise to translate algorithms into patient-facing solutions. An unusual combination: they’re also a private pilot, reflecting disciplined, safety-minded problem solving beyond the lab.
8 years of coding experience
6 years of employment as a software developer
University of California San DiegoDoctor of Medicine - MD, Doctor of Medicine - MD at Carle Illinois College of Medicine
Github Skills (11)
marching-cubes9
mathematical8
simulation8
modeling8
virtual-reality6
3d-reconstruction6
thrust4
pytorch4
rendering3
compiler1
jit1
Programming languages (5)
Github contributions (5)
andyyankai/psdr-jit
Oct 2023 - Nov 2024
Contributions:6 releases, 4 PRs, 21 pushes in 1 year
GuangyanCai/isoext
Nov 2023 - Jan 2025
GPU marching cubes with pytorch support.
Contributions:9 releases, 6 PRs, 38 pushes in 1 year 2 months
isosurface-extractionmarching-cubespytorchthrust
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