Connor Wilhelm
Data Science Intern
Salt Lake City, Utah, United States
Summary
👤
Senior🎓
Top SchoolConnor Wilhelm is a data scientist and PhD candidate at BYU's Machine Intelligence and Discovery Lab with eight years of experience applying machine learning and deep learning to practical and research problems. His research centers on dataset and task distillation—pioneering methods to compress reinforcement learning environments into single-step supervised batches and a meta-learnable PPO variant that accelerates neural architecture search for RL. He has hands-on industry experience transitioning from intern to data scientist at Zions Bancorporation and has improved production AI assistants and survey platform features during internships. A seasoned instructor and lab supervisor, he has taught deep learning to large undergraduate classes and built synthetic datasets and 3D visualization tools for pose recognition. Based in Provo, Utah, he blends rigorous theory with pragmatic engineering, frequently turning complex research ideas into reproducible code and deployable systems.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Brigham Young University
Github Skills (4)
jupyter-notebook7
machine-learning6
minecraft2
visualization1
Programming languages (2)
Github contributions (5)
wingated/cs474_labs
Feb 2020 - Jan 2022
Lab notebooks for CS474, Fall 2019
Contributions:31 commits, 42 pushes in 1 year 10 months
falljupyter-notebookmachine-learninglab-notebooksnotebooks
wconnorr/Geometry-of-Distillation
Jan 2024 - Jan 2025
Contributions:9 pushes, 1 branch in 11 months
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