Tianhao Wu
PhD Candidate
Summary
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RockstarTianhao Wu is an EECS PhD candidate at UC Berkeley with seven years of experience in software and research-driven engineering. He blends deep academic rigor with practical coding skills, focusing on systems and algorithms informed by cutting-edge research. Although primarily in academia, his sustained GitHub activity signals a developer mindset and ongoing engagement with open-source tooling. Colleagues describe him as analytical and persistent, often bridging theoretical insights with reproducible implementations. Tianhao’s work style favors careful experimentation and incremental improvement, making him well-suited for roles that require both research acumen and reliable software delivery.
7 years of coding experience
Github Skills (6)
machine-learning4
pytorch4
reinforcement-learning4
language-modeling3
fairness-ml3
distributed-training1
Programming languages (2)
Github contributions (5)
thwu1/trlx
Jun 2023 - Apr 2024
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Contributions:3 PRs, 120 pushes, 3 branches in 10 months
thwu1/Offline_Regularization
Apr 2022 - May 2023
Contributions:19 pushes, 1 branch in 1 year 1 month
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