![]() Oleh Rybkin |
![]() Younggyo Seo |
![]() Carlo Sferrazza |
![]() Ademi Adeniji |
![]() Arthur Allshire |
![]() Xinyue Chen |
![]() Alejandro Escontrela |
![]() Kevin Frans |
![]() Haoran Geng |
![]() Jakub (Kuba) Grudzien |
![]() Fangchen Liu |
![]() Amy Lu |
|
![]() Himanshu Singh |
![]() Alex Zhao-Heng Yin |
![]() Kevin Zakka |
||
Wilson Yan (December 2024)
Thesis:
Next: Google Deepmind
Sherry Yang (August 2024)
Thesis:
Next: Google Deepmind
Next Next: Assistant Professor at NYU
Olivia Watkins (August 2024)
Thesis:
Next: OpenAI
Hao Liu (May 2024)
Thesis: Towards A Machine Capable of Learning And Discovering Everything
Next: Google
Nikhil Mishra (May 2024)
Thesis: Object-Centric Perception for Real-World Robotics
Next: Covariant
Yuqing Du (December 2023)
Thesis: Human-Centric Reward Design
Next: Google Deepmind
Andrew (YuXuan) Liu (May 2023)
Thesis: Perception for Real-World Robotic Applications
Next: Covariant
Ajay Jain (May 2023)
Thesis: Transferable Generative Models
Next: co-founder Genmo
Kourosh Hakhamaneshi (May 2022)
Thesis: Pre-training Agents for Design Optimization and Control
Next: Anyscale
Xue Bin (Jason) Peng (December 2021)
Thesis: Acquiring Motor Skills Through Motion Imitation and Reinforcement Learning
Next: Assistant Professor Simon Fraser University
Roshan Rao (August 2021)
Thesis: Training, Evaluating, and Understanding Evolutionary Models for Protein Sequences
Next: Facebook AI Research
Aravind Srinivas (August 2021)
Thesis: Representation Learning for Perception and Control
Next: Research Scientist at OpenAI
Abhishek Gupta (August 2021)
Thesis: How to Train Your Robot: Techniques for Enabling Robotic Learning in the Real World
Next: Post-doc at MIT
Next-next: Assistant Professor at University of Washington
Thanard Kurutach (May 2021)
Thesis: Learning, Planning, and Acting with Models
Next: Research Scientist at Cruise
Joshua Achiam (May 2021)
Thesis: Exploration and Safety in Deep Reinforcement Learning
Next: Research Scientist at OpenAI
Gregory Kahn (December 2020)
Thesis: Mobile Robot Learning
Next: stealth start-up
Ignasi Clavera (August 2020)
Thesis: Overcoming Model-Bias in Reinforcement Learning
Next: Research Scientist at Covariant
Coline Devin (August 2020)
Thesis: Compositionality and Modularity for Robot Learning
Next: Research Scientist at Deepmind
Dylan Hadfield-Menell (August 2020)
Thesis: The Principal-Agent Alignment Problem in Artificial Intelligence
Next: Assistant Professor at MIT
Rohin Shah (August 2020)
Thesis: Extracting and Using Preference Information from the State of the World
Next: Research Scientist at Deepmind
Adam Stooke (August 2020)
Thesis: Advancements in Deep Reinforcement Learning: Algorithms and Implementations
Next: Research Scientist at Deepmind
Carlos Florensa Campo (May 2020)
Thesis: What Supervision Scales? Practical Learning Through Interaction
Next: Research Scientist at Covariant.AI
Jonathan Ho (May 2020)
Thesis: Deep Generative Models: Imitation Learning, Image Synthesis, and Compression
Next: Research Scientist at Google Brain (Amsterdam)
Alex Lee (May 2019)
Thesis: Visual Dynamics Models for Robotic Planning and Control
Next: Research Scientist at Deepmind
Sandy Huang (May 2019)
Thesis: Optimizing for Robot Transparency
Next: Research Scientist at Deepmind
Haoran Tang (May 2019)
Thesis: Towards Informed Exploration for Deep Reinforcement Learning
Next: Research Scientist at Covariant.AI
Josh Tobin (May 2019)
Thesis: Real-World Robotics Perception and Control Using Synthetic Data
Next: Research Scientist at OpenAI
Tuomas Haarnoja (December 2018)
Thesis: Acquiring Diverse Robot Skills via Maximum Entropy Deep Reinforcement Learning
Next: Research Scientist at Deepmind
Chelsea Finn (August 2018)
Thesis: Learning to Learn with Gradients
Next: Research Scientist at Google Brain | Post-doc at Berkeley
Next next: Assistant Professor at Stanford University
Bradly Stadie (August 2018)
Thesis: Learning as a Sampling Problem
Next: Post-doc at the University of Toronto
Yan (Rocky) Duan (December 2017)
Thesis: Meta-Learning for Control
Next: Founder / CTO Covariant.AI
John Schulman (December 2016)
Thesis: Optimizing Expectations: From Deep Reinforcement Learning to Stochastic Computation Graphs
Next: Founder / Research Scientist OpenAI
Karthik Narayan (December 2016)
Thesis: Scalable High-Quality 3D Scanning (Thesis talk: pdf, pptx)
Next: Algorithm Developer (aka Quantitative Analyst) at Hudson River Trading LLC
Arjun Singh (August 2016)
Thesis: Benchmarks for Cloud Robotics
Next: Founder / CEO Gradescope
Jeremy Maitin-Shepard (December 2015)
Thesis: Machine Learning and Optimization for Neural Circuit Reconstruction
Next: Google
Tim Hunter (primary advisor: Alex Bayen) (August 2014)
Thesis: Large-Scale, Low-Latency State Estimation Of Cyber-Physical Systems With An Application To Traffic Estimation
Next: DataBricks
Teodor Moldovan (May 2014)
Thesis: Safety, Risk Awareness and Exploration in Reinforcement Learning
Next: Voleon
Woody Hoburg (August 2013)
Thesis: Aircraft Design Optimization as a Geometric Program
Next: One year at Boeing and then Assistant Professor at MIT starting Fall 2014
Aude Hofleitner (primary advisor: Alex Bayen) (May 2013)
Thesis: A Hybrid Approach of Physical Laws and Data-Driven Modeling for Estimation: the Example of Queuing Networks
Next: Facebook
Student | Class | After Graduation | NSF | NDSEG | Hertz | CRA |
---|---|---|---|---|---|---|
Cade Gordon | 2025 | Stanford, PhD in CS | X | |||
Brandon Huang | 2025 | Toronto, PhD in CS | ||||
Aryan Jain | 2025 | |||||
Joshua Jones | 2025 | |||||
Vint Lee | 2025 | |||||
Meiqi Sun | 2024 | Adept.ai | ||||
Sashwat Mahalingam | 2024 | |||||
Amber Xie | 2023 | Stanford, PhD in CS | X | X | ||
John So | 2023 | Stanford, MS in CS | ||||
Anthony Han | 2023 | |||||
Ethan Guo | 2022 | Apple | ||||
Catherine Cang | 2022 | |||||
Philippe Hansen-Estruch | 2022 | UT Austin, PhD in CS | ||||
Wenlong Huang | 2022 | Stanford, PhD in CS | ||||
Xinran Liang | 2022 | Princeton, PhD in CS | ||||
Sean O'Brien | 2022 | UCSD, PhD in CS | ||||
Aaron Putterman | 2022 | Harvard, PhD in CS | ||||
Anika Ramachandran | 2022 | |||||
Katherine Shu | 2022 | |||||
Jeffrey Tao | 2022 | |||||
Ashwin Vangipuram | 2022 | Stanford, MS in CS | ||||
Xiaofei Wang | 2022 | |||||
Yanlai Yang | 2022 | NYU, PhD in CS | ||||
Albert Zhan | 2022 | MILA, PhD in ML | ||||
Mandi Zhao | 2022 | Columbia, PhD in CS | ||||
Kevin Lu | 2021 | AI Resident, FAIR; Stanford, PhD in CS | X | |||
Lili Chen | 2021 | Cohere; CMU, PhD in CS | X | X | ||
Joey Hejna | 2021 | Stanford, PhD in CS | X | Honorable Mention | ||
Boyuan Chen | 2021 | MIT, PhD in CS | ||||
Violet Fu | 2021 | Michigan, PhD in CS | ||||
Shivani Kishnani | 2021 | stealth start-up | ||||
Carl Qi | 2021 | CMU, MS in ML | ||||
Boren Tsai | 2021 | C3AI, GaTech MS | ||||
Ruihan (Philip) Zhao | 2020 | UT Austin, PhD in CS | ||||
Julia Peng | 2020 | |||||
Sarah Young | 2020 | CMU, PhD in Robotics | ||||
Fenglu Hong | 2020 | Stanford, MS in CS | ||||
Greg Balke | 2020 | Symbio | ||||
Tony Sinclair | 2020 | Apple | ||||
Yiming Ding | 2020 | Stanford, PhD in CS | ||||
Alexander Li | 2020 | CMU, PhD in CS | X | |||
Kara Liu | 2020 | Stanford, PhD in CS | ||||
Evan Lohn | 2020 | CMU, PhD in CS | ||||
Xingyu (Patrick) Lu | 2020 | Bloomberg | ||||
Michael McDonald | 2019 | |||||
Xinyi Ren | 2020 | |||||
Laura Smith | 2020 | UC Berkeley, PhD in CS | X | Finalist | ||
Yilin Wu | 2020 | Stanford, MS in CS | ||||
Wilson Yan | 2020 | UC Berkeley, PhD in CS | ||||
Yunzhi Zhang | 2020 | Covariant.AI | Stanford, PhD in CS | Honorable Mention | |||
Menglong Guo | 2019 | Covariant.AI | MIT, PhD in ME | ||||
Philipp Wu | 2019 | Berkeley, PhD in CS | Covariant.AI | X | |||
Annie Xie | 2019 | Stanford, PhD in CS | X | |||
Angelina Wang | 2019 | Princeton, PhD in CS | X | X | ||
Dennis Lee | 2019 | Google Brain AI Residency | ||||
Katie Luo | 2019 | Cornell, PhD in CS | ||||
Keiran Paster | 2019 | Toronto, PhD in CS | ||||
Christine Tung | 2019 | |||||
Daniel Ho | 2019 | |||||
Samantha Whathugala | 2019 | |||||
Brent Yi | 2019 | Stanford, Masters in CS | X | X | ||
Xiaoyang (Andrew) Bai | EECS, 2018 | UIUC, PhD in CS | ||||
Dian Chen | EECS, 2018 | UT Austin, PhD in CS | ||||
Melissa Chien | Applied Math, 2018 | |||||
Max Goldstein | Math/CS, 2018 (Princeton) | |||||
Owen Jow | EECS, 2018 | UCSD, MS in CS | ||||
Mitch Lin | EECS, 2018 | Meraki, SW Eng | ||||
YuXuan (Andrew) Liu | EECS, 2018 | Berkeley, PhD in CS | Covariant.AI | X | |||
Nikhil Mishra | EECS, 2018 | Berkeley, PhD in CS | Covariant.AI | X | |||
Mostafa Rohaninejad | EECS, 2018 | Berkeley, PhD in CS | Covariant.AI | ||||
Fred Shentu | Math,Stat,CS, 2018 | Berkeley, PhD in CS | Covariant.AI | ||||
Garrett Thomas | EECS, 2018 | Stanford, PhD in CS | Finalist | |||
Rachel Thomasson | ME, 2018 | Stanford, PhD in ME | X | |||
Adam Villaflor | EECS, 2018 | CMU, PhD in Robotics | ||||
William Wang | EECS, 2018 | MIT, PhD in CS | ||||
Tianhe (Kevin) Yu | Math/CS/Stat, 2018 | Stanford, PhD in CS | ||||
Michael Zhang | EECS 2018 | Toronto, PhD in CS | X | |||
Zhining (Anna) Zhu | CS/Stat 2018 | Stanford, MS in CS | ||||
Allan Zhao | EECS 2017 (BS) 2018 (MS) | MIT, PhD in CS | ||||
Anurag Ajay | EECS 2017 | MIT, PhD in CS | ||||
Xinyang (Young) Geng | EECS 2017 | G-Brain Resident, UC Berkeley PhD in CS | Honorable Mention | |||
Ashvin Nair | EECS 2017 | UC Berkeley PhD in CS | Finalist | |||
Xi (Peter) Chen | EECS 2014 | UC Berkeley, PhD in CS | ||||
Rohan Chitnis | EECS 2016 | MIT, PhD in CS | X | X | Finalist | Runner-Up |
Eddie Groshev | EECS 2015 | Osaro | ||||
Weiqiao Han | Math/CS/Stat 2015 | MIT, PhD in CS | ||||
Alex Irpan | EECS 2016 | Google Brain Residency | ||||
Christopher Lin | EECS 2015 | drive.ai | ||||
Nopphon Siranart | CS/Stat/Econ 2016 | Stanford, PhD in ICME | ||||
Marvin Zhang | EECS 2016 | UC Berkeley, PhD in CS | X | X | Honorable Mention | |
Tianhao Zhang | EECS 2016 | UC Berkeley, PhD in CS | ||||
Yan (Rocky) Duan | Math/CS/Stat 2014 | UC Berkeley, PhD in CS | ||||
Justin Fu | EECS, 2015 | Stanford, MS in CS; UC Berkeley, PhD in CS | ||||
Robbie Gleichman | EECS, 2014 | Carbon Robotics | ||||
Abhishek Gupta | EECS, 2015 | UC Berkeley, PhD in CS | X | X | ||
Gregory Kahn | EECS, 2015 | UC Berkeley, PhD in CS | X | X | ||
Nikita Kitaev | EECS, 2015 | UC Berkeley, PhD in CS | X | |||
Henry Lu | EECS, 2015 | Prism Skylabs | ||||
George Mulcaire | EECS, 2015 | U. of Washington, PhD in CS | ||||
James Sha | EECS, 2015 | X | ||||
Peter Sujan | STAT, 2015 | UC Berkeley, MS in STAT | ||||
Nolan Wagener | EECS, 2015 | Georgia Tech, PhD in CS | X | |||
Alvin Wong | EECS, 2015 | USC Games Program, MS | ||||
Chris Xie | EECS, 2015 | U. of Washington, PhD in CS | X | |||
Tudor Achim | visitor, 2014 | Stanford, PhD in CS | ||||
Pedro Amaral | EECS, 2014 | UC Berkeley, PhD in CS | ||||
Samaneh Azadi | visitor, 2014 | UC Berkeley, PhD in CS | ||||
Henry Bradlow | EECS, 2014 | Founder, CTO Lily | ||||
Eugene Fang | EECS, 2014 | CMU, MS, PhD in CS | X | |||
Jonathan Ho | EECS, 2014 | Stanford, PhD in CS | X | |||
Ankush Gupta | EECS, 2014 | Oxford, PhD in CS | ||||
Sibi Venkatesan | EECS, 2014 | CMU, PhD in Robotics Inst. | ||||
James Huang | EECS, 2013 | Shopkick | ||||
Alex Lee | EECS, 2013 | UC Berkeley, PhD in CS | X | |||
Cameron Lee | EECS, 2013 | |||||
Justin Uang | EECS, 2013 | Palantir Technologies | ||||
Ziang Xie | EECS, 2013 | Stanford, PhD in CS | X | |||
Ibrahim Awwal | EECS, 2012 | UCSD, PhD in CS | ||||
Warren He | EECS, 2012 | UC Berkeley, PhD in CS | ||||
Humphrey Hu | MechE, 2012 | CMU, PhD in Robotics Inst. | X | |||
Karthik Lakshmanan | EECS, 2012 | CMU, PhD in Robotics Inst. | ||||
Apoorva Sachdev | EECS, 2012 | IBM, Singapore | ||||
Sameep Tandon | EECS, 2012 | Stanford, PhD in CS | Honorable Mention | |||
John Wang | EECS, 2011 | Michigan, PhD in CS | ||||
Marco Cusumano-Towner | EECS, 2011 | Stanford, MS in CS; MIT, PhD in CS | X | X | ||
Stephen Miller | EECS, 2011 | Stanford, PhD in CS | X | Fellow | Finalist | |
Ping Chuan (Ted) Wang | EECS, 2011 | National Instruments | ||||
Shervin Javdani | EECS, 2010 | CMU, PhD in Robotics Inst. | X | |||
Svet Kolev | EECS, 2010 | U. of Washington, PhD in CS | ||||
Arjun Singh | EECS, 2010 | UC Berkeley, PhD in CS | X | |||
Jinna Lei | Math, CS, 2010 | U. of Washington, PhD in CS | X | |||
Xiao-Yu Fu | EECS, 2009 | U. of Michigan, PhD in Mech.E. | X | |||
Nimbus Goehausen | EECS, 2009 | www.fwix.com | ||||
Andrew Wan | EECS, 2009 | www.fwix.com |