Hi, I'm Evan. I am an Electrical Engineering and Computer Science (EECS) master's student at UC Berkeley, advised by Professor Jiantao Jiao. I also completed my bachelor's degree in computer science at Berkeley.
My research focuses on Reinforcement Learning with Human Feedback (RLHF) for fine-tuning LLMs. Currently, much of my efforts revolve around reward model training and benchmarking.
I am also a Research Engineer at Nexusflow, where I work on training LLMs like Athene-70B. I also work with LMSYS, mainly on analyzing Chatbot Arena and building LLM benchmarks.
Banghua Zhu, Evan Frick, Tianhao Wu, Hanlin Zhu, Karthik Ganesan, Wei-Lin Chiang, Jian Zhang, and Jiantao Jiao. (2024).
Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, and Ion Stoica. (2024).
Evan Frick, Peter Jin, Tianle Li, Karthik Ganesan, Jian Zhang, Jiantao Jiao, and Banghua Zhu. (2024).
Working on Chatbot Arena and model evaluations.
Improving chat models with RLHF. Training enterprise grade function calling LLMs.
Making LLMs better with RLHF. Advised by Professor Jiantao Jiao.
Worked on an all-encompassing environment-level change tracking and analytics system.
Researched Vision Transformer robustness in the dermatology domain.
Worked on secure server allocation systems for a 10,000 server build environment.
Made buttons button, clicks click, and moves move.
UC Berkeley Electrical Engineering and Computer Science | 2024 - Present
M.S. in Electrical Engineering and Computer Science.
UC Berkeley Computing, Data Science, and Society | 2020 - 2024
B.A. in Computer Science, Minor in Data Science, Highest Distinction in General Scholarship.
Email: evanfrick[at]berkeley[dot]edu
Google Scholar: Evan Frick
LinkedIn: Evan Frick
Twitter: @evan_a_frick