Zaynah Javed

I am currently a Research Fellow at Stanford University with the RegLab advised by Professor Daniel Ho and Professor Becky Lester.

Prior to Stanford, I graduated with an MS and BA from UC Berkeley in the Electrical Engineering & Computer Science department. In my time at Berkeley, I researched in the areas of robotics and imitation/reinforcement learning in the AUTOLAB, advised by Professor Ken Goldberg. I've also been fortunate to work under Professor Dawn Song on safety issues in reinforcement learning in the past.

Email  /  Github  /  Google Scholar  /  CV

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Research

In general, I'm interested in AI safety, algorithmic fairness, and human-AI interaction. I am also interested in societal impacts of AI.

bc_small The Spiderweb of Partnership Tax Structures
Ryan Hess, Emily Black, Zaynah Javed, Jonathan Hennessy, Rebecca Lester, Jacob Goldin, Daniel E Ho, Annette Portz.
Under review (2024).
bc_small Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies
Satvik Sharma*, Ellen Novoseller*, Vainavi Viswanath, Zaynah Javed, Rishi Parikh, Ryan Hoque, Ashwin Balakrishna, Daniel S Brown, Ken Goldberg.
International Conference on Automation Science and Engineering (CASE 2022)
pgbroil_small Policy Gradient Bayesian Robust Optimization for Imitation Learning
Zaynah Javed*, Daniel S. Brown*, Satvik Sharma, Jerry Zhu, Ashwin Balakrishna, Marek Petrik, Anca D. Dragan, Ken Goldberg.
International Conference on Machine Learning (ICML 2021)
backdoorl_small BackdooRL: Backdoor Attack against Competitive Reinforcement Learning
Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song.
International Joint Conference on Artificial Intelligence (IJCAI 2021)

* = equal contribution

Teaching
cs188 Undergraduate Student Instructor, CS 188. Summer 2021
prob140 Course Tutor, Prob 140/Stat 140. Fall 2020, Spring 2021