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Anikait Singh
Computer Science Student at UC Berkeley
Anikait Singh (LinkedIn username: asap7772) is currently a PhD student in Computer Science at Stanford University.12 His research focuses on advancing decision-making methodologies, particularly in reinforcement learning, and scaling these approaches to broader applications.2
Prior to his PhD studies, Anikait completed his Bachelor of Arts in Computer Science at the University of California, Berkeley from August 2019 to May 2023, graduating with highest distinction and a perfect 4.0 technical GPA.3 During his time at Berkeley, he was likely involved with the Berkeley Artificial Intelligence Research (BAIR) lab, working on Deep Reinforcement Learning and Robot Learning under the supervision of Professor Sergey Levine.2
Anikait has published several papers in prestigious conferences such as ICML, NeurIPS, and CoRL, often collaborating with researchers from institutions like Google DeepMind and Toyota Research Institute.3 His research interests include multi-step reasoning in complex domains such as code and mathematics, as well as designing alignment algorithms and personalization techniques.2
In addition to his academic pursuits, Anikait has interned at Google DeepMind Robotics and Toyota Research Institute.23 His research is supported by the NSF Graduate Research Fellowship.3
