I’m currently a PhD Candidate in the Electrical and Computer Engineering department here at Cornell University. I’m advised by Prof Adrian Sampson.
My graduate research focuses on efficient computer vision. In my work I’ve found that abstractions can simplify the design process, but breaking down boundaries through hardware-software co-design can produce superior results. For this reason I see myself as a system creator rather than a hardware or software developer.
As an entrepreneurial engineer I quickly gravitated to both industrial and academic research. While finishing my M.S. at UMass Amherst I formed Firebrand Innovations as a way of monetizing intellectual property I developed while in high school. These days I can be found in Cornell’s Computer Systems Laboratory plugging away at code for powerful new computer vision systems.
PhD in Computer Engineering
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