Manasi Sharma
Graduate Community Lead | LinkedIn
Manasi is a Master’s student in Computer Science at Stanford, and she completed her undergraduate degree in Computer Science and Physics at Columbia. She considers herself a bit of “generalist” in AI, with broad interests in the domains of Vision, Deep Learning, Decision Making, Reinforcement Learning, Graphs, etc. She has been pursuing research under the Stanford Vision Lab (SVL) for the past year, in which she worked on the BEHAVIOR-1K project She is now working on offline pretraining for robotic policies at the ILIAD Lab under Prof. Dorsa Sadigh. She has been pursuing research in the Stanford Vision Lab (SVL) on the BEHAVIOR-1K project and the ILIAD Robotics Lab under Prof. Dorsa Sadigh on pre-training for robotic learning. Outside of coursework and research, Manasi is passionate about increasing representation for underrepresented groups in tech, dancing (an Indian folk dance called ‘Raas’!) and casually binge-watching her favorite TV show Castle.