I am a biologist and an engineer, excited about making new tools to enable faster and more accessible science.
I’ve developed technologies spanning electronics, optics, microfluidics, statistics, signal processing, and algorithmic development, and applied them across areas from microbiology to neuroscience.
PhD in Computational & Systems Biology, 2016
Massachusetts Institute of Technology
BS in Applied Math and Biochemistry, 2010
University of Washington
R, Python, C, LabView, Verilog
Regression and classification, GLMs to SVMs, Naive Bayes to kNN
Linear (analog, FIR/IIR) and nonlinear filters to lock-ins, resonators, and frequency division multiplexing
From building custom brightfield tracking scopes to multiphoton LSM