Background

A short version. I'm happy to share a full CV on request.

Now

2023 — Present

Research Scientist, Software

Nonprofit research institute · New York

Machine learning for automated reconstruction of neural circuitry from volumetric electron microscopy.

Previously

2015 — 2023

Machine learning engineering & data science

Technology companies · New York & remote

Building and productionizing machine learning systems across a range of domains — personalization, sensor and signal interpretation, and location inference — spanning model training pipelines, online featurization, and model serving.

2017

Adjunct Faculty Instructor

Computer science · New York

Designed and taught an upper-level computer algorithms course.

2014 — 2015

Postdoctoral research

Neuroscience · New York

Neural dynamics and network coordination in cortico-hippocampal circuits.

Education

2014

Ph.D., Physics

California Institute of Technology

Biophysical and network mechanisms underlying electrical signals recorded from the brain.

2005

B.S.E., Electrical Engineering

University of Michigan

Research

My research background is in computational and experimental neuroscience, with earlier work in experimental quantum optics. Publications are listed on Google Scholar.

Elsewhere

Beyond work, I’m involved with New York Kayak Polo — President for several years, currently Vice President — and I’m an ACA-certified coastal kayak instructor.