I am an Assistant Professor of Computer Science at Barnard College, Columbia University where I lead the Accessible and Accelerated Robotics Lab (A²R Lab). I hold affiliate positions in the Department of Computer Science and Electrical Engineering at the Fu Foundation School of Engineering and Applied Science, Columbia University. I am also a co-chair for the Tiny Machine Learning Open Education Initiative (TinyMLedu) and an associate co-chair for the IEEE-RAS TC on Model Based Optimization for Robotics.
My research is focused on developing and implementing open-source algorithms for dynamic motion planning and control of robots by exploiting both the mathematical structure of algorithms and the design of computational platforms (e.g., MPCGPU, GRiD, TinyMPC). As such, my research is at the intersection of Robotics and Computer Architecture, Embedded Systems, Numerical Optimization, and Machine Learning.
I also want to improve the accessibility of STEM education. I research ways to better understand and improve diversity, equity, inclusion, and belonging in STEM education globally, as well as design and teach new interdisciplinary, project-based, open-access courses that lower the barrier to entry of cutting edge topics like robotics, parallel programming, and embedded machine learning (e.g., Global TinyML Education, Parallel Optimization for Robotics).
I enjoy spending my free time with my family and skiing in the winters.
PhD in Robotics, 2022
Harvard University
MEng in Robotics, 2018
Harvard University
Advanced Study Non-Degree Student, 2016
Massachussets Institute of Technology (MIT)
BA in Computer Science, 2013
Harvard University
[9/6/24] I was awarded an NSF CSSI Grant to build an Accessible GPU-Accelerated Edge Optimal Control Library and Benchmarks!
[7/16/24] My lab’s MPCGPU paper won the Best Poster Award at the IEEE-RAS TC on Model-Based Optimization for Robotics Virtual Poster Session!
[6/7/24] My international collaborators and I were awarded an IEEE-RAS Technical Education Program Grant to run an “Optimization for Robotics Summer School” to be held in Summer 2025!
[5/16/24] My lab’s collaborative TinyMPC paper won the Best Paper in Automation and was a finalist for Best Conference Paper and Best Student Paper at the 2024 IEEE International Conference on Robotics and Automation (ICRA)!