2019-2021: Large scale simulation and HPC on TPU, Google Research

2015-2019: Computer vision algorithms and infrastructure, Nest Cam

2014-2015: Machine learning and control, Nest Thermostat

2015-2018: Nest Cam/Dropcam computer vision. Algorithms and infrastructure, embedded and cloud.

2014-2015: Algorithms engineer/data scientist, Thermostat/energy and presence/occupancy.

My graduate work centers around design and analysis of algorithms that facilitate our understanding of and ability to control complex networks. I make use of network structure and the local interactions between subsystems in order to guarantee safe and reliable operation of the complete system without centralized coordination. Employing tools from convex optimization, nonlinear dynamical systems theory, machine learning, spectral graph theory, and numerical analysis, my research enables distributed control and optimization of a variety of systems, including energy microgrids, aircraft formations, cellular reaction-diffusion networks, and social networks.

Responsible for weekly discussion sections, office hours, guest lectures, exam grading, and student integrity/dispute resolution.

Courses taught/planned:

MFE 230, Optimization models in finance, Master of Financial Engineering, Winter 2014.

EE 120, Upper division signals and systems, Fall 2012.