Parsa Mahmoudieh
I am currently a researcher in Gemini at Google Deepmind based in Mountain View.
My most recent contributions has been in the RM & RL stages of Gemini 2.5 and Gemini 2.0. I also have co-led the RM & RL stages for LearnLM which were presented at Google I/O 2024 and Google I/O 2025.
Previously I received my CS PhD at UC Berkeley in BAIR advised by Trevor Darrell and have been mentored by Evan Shelhamer and Deepak Pathak. During my PhD I mostly worked on Self-Supervised Reinforcement learning and Behavior Cloning.
Before grad school, I did a double major in EECS and MechE at UC Berkeley and had done undergraduate research in Ron Fearing's Robotics lab. I've also had the pleasure to do internships at GM and Ford.
Outside of sand volleyball and basketball, one big side hobby of mine is studying physiology, molecular biology, and computational biology.
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PhD Thesis
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Zero-Shot Visual Imitation
Deepak Pathak*, Parsa Mahmoudieh*, Guanghao Luo*, Pulkit Agrawal*, Dian Chen, Fred Shentu, Evan
Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell (* equal contribution)
International Conference on Learning Representations (ICLR), 2018   (Oral Presentation)
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