About

I am a Postdoctoral Researcher in the Autonomous Systems Lab at Stanford University, working with Prof. Marco Pavone. I completed my Ph.D. at Cornell University, advised by Prof. Kilian Q. Weinberger and Prof. Bharath Hariharan.

My research centers on the visual understanding of the world — 3D perception and multimodal learning — combining visual data with other sensory inputs to build a richer, more robust understanding of the environment. Increasingly, I focus on multimodal foundation models that unify perception, reasoning, and action — extending the same principle of learning from rich, weakly-labeled signals from 3D scenes to language-grounded embodied reasoning.

I have been fortunate to be supported by a Cornell University Fellowship, an NVIDIA Graduate Fellowship, and an AAUW American Dissertation Fellowship. Before Cornell, I worked across applied machine learning, deep reinforcement learning, and natural language processing.

Education

  • Ph.D. in Computer Science · 2020–2025

    Cornell University

  • M.S. in EECS · 2018–2019

    University of California, Berkeley

  • B.S. in EECS · 2015–2018

    University of California, Berkeley

Research Areas — jump to publications

News

Jun 2025
Gave a talk at the DriveX Workshop at CVPR 2025 on cooperative & augmented perception.
2025
Mixed Signals, our heterogeneous LiDAR V2X dataset, was accepted to ICCV 2025.
Oct 2024
Presented Denoising Vision Transformers (Oral) at ECCV 2024 in Milan, Italy.
May 2024
Received the AAUW American Dissertation Fellowship — notable alumnae include Marie Curie and Keisha Blain.
Apr 2024
Research exchange at the University of Sydney, Australian Centre for Robotics.

Research Output

Publications

Grouped by theme · * denotes equal contribution. For an always-current list, see my Google Scholar.

Research

Academic Labs

Where I have done my research.

Aug 2024 — Present

Postdoctoral Researcher

Autonomous Systems Lab (ASL), Stanford University — advised by Prof. Marco Pavone

Palo Alto, USA

2020 — May 2025

Graduate Student Researcher

Machine Learning, Cornell University — advised by Prof. Kilian Q. Weinberger & Prof. Bharath Hariharan

Ithaca, USA

Mar 2024 — May 2024

Visiting Student Researcher

Australian Centre for Robotics — advised by Dr. Stephany Berrio Perez & Dr. Stewart Worrall

Sydney, Australia

Jun 2022 — Aug 2022

Visiting Student Researcher

Pioneer Center for AI — advised by Prof. Serge Belongie

Copenhagen, Denmark

2017 — 2019

Student Researcher

Robotic & AI Learning Lab (RAIL), UC Berkeley — advised by Prof. Sergey Levine

Berkeley, USA

Industry

Industry Experience

Selected industry internships and roles.

Jun 2024 — Oct 2024

PhD Research Intern

Waymo — Perception Research

Mountain View, USA

Jun 2023 — Dec 2023

Research Intern

NVIDIA — Autonomous Vehicle Research

Santa Clara, USA

May 2021 — Sep 2021

Research Intern

Facebook AI

New York, USA

Jun 2019 — Jun 2020

AI Resident

Uber ATG (acquired by Aurora) — advised by Prof. Raquel Urtasun

Toronto, Canada

May 2018 — Aug 2018

ML Engineering Intern

Google — YouTube

Mountain View, USA

May 2017 — Aug 2017

Data Science Intern

Wish (Context Logic)

San Francisco, USA

May 2016 — Aug 2016

Software Engineering Intern

IBM

San Jose, USA

Selected Talks

Talks

Invited talks and seminars.

Leveraging Auxiliary Information for Self-Driving Perception across Diverse End Users

Dec 2024 · CS Ph.D. Students Colloquium, Cornell University

Unsupervised Object Discovery from LiDAR Scans for Autonomous Driving

May 2024 · Robotics Research Seminar, Australian Centre for Robotics

Leveraging Auxiliary Information for Self-Driving Perception

Mar 2024 · Graduate Fellow Fast Forward Talks, NVIDIA GTC 2024

The Under-Utilized Information in Repeated Traversals for Autonomous Vehicles

Jun 2022 · P1 Café, Pioneer Center for AI, Copenhagen