ellis.brown at nyu dot edu
I am a CS PhD Student at NYU Courant advised by Profs. Saining Xie and Rob Fergus. My research is supported by the NDSEG Fellowship. I am currently interning with Ross Girshick in the PRIOR team at the Allen Institute for AI (Ai2).
I recently graduated from a Master’s at Carnegie Mellon where I was advised by Profs. Deepak Pathak and Alyosha Efros. Before that, I was a founding research engineer at BlackRock AI Labs, where I was fortunate to work with Profs. Mykel Kochenderfer, Stephen Boyd, and Trevor Hastie on applied research & finance. During my undergrad at Vanderbilt, I majored in CS & Math and did research in CogSci & Vision with Prof. Maithilee Kunda. I’m originally from St. Louis, MO.
I am a proud member of the Osage Nation and have recently enjoyed engaging with the Native research community at AISES.
If you haven’t made time for a regular checkin with a doctor recently, please do! Even if you feel perfectly healthy.
news
Sep., 2024 | Cambrian was accepted to NeurIPS 2024 as an oral presentation 🪼🎉 |
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Mar., 2024 | Thrilled to have been awarded the NDSEG Fellowship to support my PhD research at NYU! |
Feb., 2024 | I will be joining AllenAI (AI2) as a Resesarch Intern this summer in Seattle, working with Ross Girshick! |
Aug., 2023 | Excited to be starting my PhD at NYU advised by Profs. Saining Xie and Rob Fergus 🎉🗽 |
May., 2023 | Defended my Master’s thesis and graduated from CMU! |
Apr., 2023 | Our paper Internet Explorer was accepted to ICML 2023!! See you in Hawaii 🌺🏝😎 |
Jan., 2022 | Joined Prof. Deepak Pathak’s group in CMU’s Robotics Institute, and will focus on self-supervised learning and curiosity-driven exploration in computer vision. |
Aug., 2021 | Awarded the Intel Growing The Legacy Scholarship and accepted into the Lighting the Pathway to Faculty Careers program through AISES. Accepted into Google Research’s Computer Science Mentorship Program. |
Jul., 2021 | Left BlackRock AI Labs to pursue a Master’s degree in Computer Science at CMU. Bittersweet! |
selected research (all)
I’m interested in self-supervised learning, representation learning, curiosity-based exploration, and leveraging internet-scale models and data. I am keen to draw inspiration from intelligence in humans and nature—especially as a goal-post rather than a blueprint. My long-term goal is to develop intelligent agents that can generalize and continually adapt as robustly and efficiently as humans do, allowing them to be safely deployed in the real world.