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Professional Summary
Yunkai Zhang is a final-year PhD candidate at UC Berkeley, affiliated with BAIR and advised by Prof. Zeyu Zheng. He works on time series (forecasting, multimodal QA, foundation models), reinforcement learning (AIOps, safe RL), and recommender systems. His research is supported by NSF-GRFP. Outside of work, he plays all kinds of sports (but being good at none), trading stocks, and mentoring the next generation of AI talent. Feel free to reach out if you are looking for collaborations!
Education
PhD at BAIR
UC Berkeley
BS Mathematics
UC Santa Barbara (College of Creative Studies)
BS Computing
UC Santa Barbara (College of Creative Studies)
Interests
Time Series
Reinforcement Learning
Recommender Systems
ML for Systems
📚 My Research
Use this area to speak to your mission. I’m a research scientist in the Moonshot team at DeepMind. I blog about machine learning, deep learning, and moonshots.
I apply a range of qualitative and quantitative methods to comprehensively investigate the role of science and technology in the economy.
Please reach out to collaborate 😃
Featured Publications
An example conference paper
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Recent Publications
(2019).
An example preprint / working paper.
(2015).
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Journal of Source Themes, 1(1).
(2013).
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In ICW.
Recent & Upcoming Talks
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Recent News
Trending
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