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Hello! I am a Research Scientist at HuggingFace.
I recently finished my PhD at the University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab, and pseudo-advised by Roberto Calandra at Meta AI Research!
Hello! I am a Research Scientist at HuggingFace.
I recently finished my PhD at the University of California, Berkeley studying the intersection of robotics and machine learning. I was a member of the Department of Electrical Engineering and Computer Sciences, advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab, and pseudo-advised by Roberto Calandra at Meta AI Research! I am actively involved in outreach and inclusion efforts and an advocate for mental health -- I was the EEGSA wellness chair and founder of the UC Berkeley Equal Access to Application Assistance program.
Prior to UC Berkeley, I was a proud member of Cornell Electrical and Computer Engineering 2017 where I learned to do research with the Lab of Plasma Studies and the SonicMEMs Lab. I bring my research foundation in hardware, models, and physics to the data-driven world of machine learning. At Cornell, I was a part of Cornell Lightweight Rowing.
I am happy to be a product of The Ocean State.
Nathan Lambert is a Research Scientist at HuggingFace. He received his PhD from the University of California, Berkeley working at the intersection of machine learning and robotics. He was advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab and Roberto Calandra at Meta AI Research. He was lucky to intern at Facebook AI and DeepMind during his Ph.D. Nathan was was awarded the UC Berkeley EECS Demetri Angelakos Memorial Achievement Award for Altruism for his efforts to better community norms.
I like to try and have fun between my many projects. You can find me on Strava, I also happen to be a brand ambassador for Picky Bars. I actively track my health, cook, and read (recipe and book pages in construction).
Intelligent & novel devices to interact with the physical world.
The science of using data to decide in the presence of uncertainty.
Making sure the stakeholders of automation are in the conversation.
