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Career

· Senior Machine Learning Engineer, Tesla2025–
· Research Intern, Toyota Research Institute2024–2024
· Research Intern, Google Brain (now Google DeepMind)2020–2020
· PhD in Computer Science, Stanford University2020–2025
· Research Assistant, Vector Institute2019–2020
· Undergraduate Thesis Student, Vector Institute2019–2020
· Visiting Student Researcher, Berkeley Artificial Intelligence Research2018–2019
· Research Intern, Max Planck Institute for Software Systems2017–2017
· Research Assistant, Micro/NanoPhotonics Lab2016–2016
· BASc in Engineering Science, University of Toronto2015–2018
· Research Volunteer, Integrated Photonics Lab2014–2014
· International Baccalaureate Diploma Program, Sir Winston Churchill Secondary School2013–2015
· Research Scientist, Tesla

Publications (30)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
Evaluating Real-World Robot Manipulation Policies in Simulation
Conference on Robot Learning · 2024
256
cited
Unsupervised Learning via Meta-Learning
International Conference on Learning Representations · 2018
244
cited
Unsupervised Curricula for Visual Meta-Reinforcement Learning
Neural Information Processing Systems · 2019
66
cited
Vision-Based Manipulators Need to Also See from Their Hands
International Conference on Learning Representations · 2022
58
cited
Disentanglement via Latent Quantization
Neural Information Processing Systems · 2023
36
cited
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization
arXiv.org · 2025
24
cited
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real Users
arXiv.org · 2025
16
cited
Non-Parametric Identification of Static Nonlinearities in a General Interconnected System
2005
14
cited
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
International Conference on Machine Learning · 2024
11
cited
Towards Embodiment Scaling Laws in Robot Locomotion
arXiv.org · 2025
9
cited
Ask Again, Then Fail: Large Language Models’ Vacillations in Judgment
Volume 1 · 2024
6
cited
Range, not Independence, Drives Modularity in Biologically Inspired Representations
International Conference on Learning Representations · 2024
4
cited
W HAT M AKES C ERTAIN P RE -T RAINED V ISUAL R EP - RESENTATIONS B ETTER FOR R OBOTIC L EARNING ?
2022
2
cited
S 2 ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction
2022
1
cited
Elastic Weight Consolidation for Reduction of Catastrophic Forgetting in GPT-2
2022
Upper-bound Translation Performance of Llama-2 Under Idealized Setup
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