I would describe myself as an endlessly curious, ambitious, and creative person. 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 in many fields including generative AI, robotics, biomedical imaging, computer vision, hardware acceleration, and computer architecture.
My passion for AI, deep learning, and hardware acceleration was super-charged during my PhD in Prof Adrian Sampson’s research group at Cornell University. My thesis focused on hardware-accelerated deep learning for computer vision.
My entrepreneurial spirit has led me to found three companies so far: Firebrand Innovations which sold videoconferencing IP, Codex Collective which produces electronic music events in Seattle, and most recently Soundry AI which provides an AI text-to-sample generator for music producers & songwriters. In my free time I enjoy writing music and DJing.
PhD in Electrical and Computer Engineering, 2019
M.S. in Electrical and Computer Engineering, 2014
University of Massachusetts, Amherst
B.S. in Electrical Engineering, 2012
Rensselaer Polytechnic Institute
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
My M.S. thesis on synchronization circuits and systems for multi-clock domain Networks-on-Chip