Ryan Cheng
Undergraduate Research Assistant
California, United States
Summary
👤
Senior🎓
Top SchoolRyan Cheng is a Berkeley-trained researcher blending physics and computer science expertise to push the boundaries of ML and robotics. As a current BAIR research assistant, he focuses on reinforcement learning fine-tuning of LLM agents to improve multi-turn dialogue and negotiation behaviors, with past projects targeting deception reduction and human simulation fidelity. His background spans experimental condensed-matter work—growing crystals and automating vacuum hardware—to calibration and path-reconstruction algorithms for particle physics, reflecting rare cross-domain fluency between hardware, simulation, and ML. He has implemented adversarial attacks and defenses in PyTorch for model security and contributed to data-analysis tooling in educational repos, demonstrating both practical coding and reproducible research practices. Based in California, he brings ten years of technical experience and a knack for connecting principled physics approaches to cutting-edge AI problems.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at UC Berkeley Electrical Engineering & Computer Sciences (EECS)Bachelor of Arts - BA, Physics, Computer Science, 3.972, Bachelor of Arts - BA, Physics, Computer Science, 3.972 at University of California, BerkeleyHigh School Diploma, 4.00 (unweighted), 4.70 (weighted), High School Diploma, 4.00 (unweighted), 4.70 (weighted) at Alameda High School
Github Skills (7)
data-visualizations10
jupyter-notebook10
data-visualization10
data-visualisation10
ipython10
data-analysis10
csv9
Programming languages (1)
Github contributions (5)
data-8/data8assets
Mar 2016 - May 2016
Assets for data8.org
Role in this project:
Data Scientist
Data ScientistContributions:54 commits in 1 month
Contributions summary:Ryan's commits focus on making changes to a Jupyter Notebook related to housing price data. The commits show the modification and display of data using the datascience library and IPython. The code changes involve reading and displaying data from a CSV file, which likely involves data analysis and exploratory data analysis within the notebook environment.
data-analysisdataframestextbookassets
ryanchui/Portfolio
Apr 2017 - May 2022
Contributions:55 commits, 66 pushes, 1 branch in 5 years 1 month
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