I would describe myself as endlessly curious, creative, and ambitious. In all my work, I begin by identifying the most important goals and questioning any built-in assumptions. This first principles approach frequently leads me to unique solutions which span multiple levels of hierarchy.
I’ve made contributions to many fields including generative AI, robotics, biomedical imaging, computer vision, and computer architecture. My passion for AI was super-charged during my PhD at Cornell University where my thesis focused on computer vision AI.
My entrepreneurial spirit has led me to found three companies so far: Firebrand Innovations which sold videoconferencing IP, the Codex Collective which produces live electronic music events in Seattle, and most recently Soundry AI which provides generative tools for DJs and songwriters. Perhaps unsurprisingly in my free time I enjoy DJing and songwriting.
PhD in Electrical and Computer Engineering, 2019
Cornell University
M.S. in Electrical and Computer Engineering, 2014
University of Massachusetts, Amherst
B.S. in Electrical Engineering, 2012
Rensselaer Polytechnic Institute
Simulated fixed point model evaluation for SqueezeDet
Using a reversible imaging pipeline to optimize sensor and ISP design for computer vision
Helpful scripts I wrote for downloading and parsing Google’s huge video dataset
A Halide implementation of a forward and reverse computational photography pipeline
Hardware accelerator for neural network computation using the LNS
Tapeout of a configurable and energy-proportional image sensor
My M.S. thesis on synchronization circuits and systems for multi-clock domain Networks-on-Chip
What started as a Science Fair project became Firebrand Innovation’s first product