As of September 2022, I am in the new role of Chief Data Officer for nLine. nLine works to improve the reach, reliability, and resilience of the world's most critical infrastructure, starting with power grids. We are a measurement company, providing data-driven actionable insights for utilities, regulators, investors, multilateral and bilateral organizations, researchers, and public interest groups. Under-the-hood nLine designs and deploys custom sensors to continuously estimate key performance indicators of critical infrastructure at high-resolution. Our technology is uniquely suited for deployment in emerging markets and has been validated at scale.
I am a visiting scientist at MIT and recieved my PhD in the MIT/Woods Hole Oceanographic Institute (WHOI) Joint Program, within the EECS department at MIT. I was a member of the Sensing, Learning, and Inference (SLI) group, advised by John W. Fisher III, within the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. For my Master's thesis, I was advised by Yogesh Girdhar in the WARPlab at WHOI and Nicholas Roy in the Robust Robotics Group at MIT.
My research interests lie in decision-making under uncertainty, Bayesian modeling and inference, uncertainty quantification, and machine learning, as well as applications of these techniques to scientific knowledge acquisition and sensor planning.
My PhD was funded in part by an NSF Graduate Research Fellowship. and a PhD research grant from Microsoft Research.