![]() |
|
I am a systems engineer working at Blue Origin on their MK-2 crewed Lunar lander. In May 2024 I graduated with a PhD from the Robust Robotics Group at MIT, advised by Nick Roy and supported by a NSF Graduate Fellowship. I hold a doctoral minor in Space Systems Engineering, and a master's degree from Bill Freeman's computer vision group.
I am generally interested in human and robot vision research, and developing the autonomous navigation,robotic, and electrical systems that will help humans explore space. I like problem-oriented engineering design, and like to play with both hard- and soft- ware, with more recent emphasis being on software and AI/ML-based computer vision models. I enjoy teaching mathematics, physics, and electrical engineering in classrooms and 1-on-1, and nurturing the next generation of engineering researchers through internship.
In the past I made electronics for Venus probes, built telescopes, defined concepts and requirements for Lunar payloads, and designed sensors that helped keep rocket engines from exploding. I hold a PhD/SM EECS and doctoral minor (space sys-eng) from MIT, and a BS EECS/BA Physics from UC Berkeley.
2024 | |
PhD Thesis: Human-Inspired Methods for Extending Advances in Computer Vision to Data- and Compute-Constrained Environments
Massachusetts Institute of Technology |
|
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
with Stephanie Fu and Mark Hamilton (primaries), Axel Feldmann, Zhoutong Zhang, and Bill Freeman. International Conference on Learning Representations (ICLR), 2024 [Poster] Website. Preprint. Code. Demo. Colab. News feature |
2023 |
Fusion for Reducing Domain Specificity in Computer Vision Models
with Nick Roy. March Meeting of the American Physical Society, 2023 [Oral] Abstract |
2022 | |
One Visualization is Worth 1000 Words: Toward Automated Data Recovery and Interpretation from Past 3D Visualizations
with Bill Freeman. March Meeting of the American Physical Society, 2022 [Oral] Abstract. Dataset |
The Importance of Experimental Controls: Evidence that
Task-Dependent Invariances Define Functional Specialization in Cortical
Hierarchy
March Meeting of the American Physical Society, 2022 [Poster] Abstract |
2021 | |
SM Thesis: Shape from Surface Contours via Artificial Neural Nets
Massachusetts Institute of Technology Thesis. Dataset |
|
Toward Automatic Interpretation of 3D Plots
with Bill Freeman. International Conference on Document Analysis and Recognition (ICDAR), 2021 [Poster] Preprint. Paper. Dataset |
2019 |
Graphene as a Diffusion Barrier in High-Temperature Electronics
with Ananth Yalamarthy, Peter Satterthwaite, Sam Vaziri, Savannah Benbrook, Eric Pop, and Debbie Senesky. March Meeting of the American Physical Society, 2019 [Oral] Abstract |
2018 |
Variability Study for Low-Voltage Micro-Electro-Mechanical Relay Operation
with Benjamin Osoba (primary), Bivas Saha, Sergio Almeida, Jatin Patil, Maurice Roots, Edgar Acosta, Junqiao Wu, and Tsu-Jae King Liu. IEEE Transactions on Electron Devices Paper |