PhD Student
School of Computer Science
University of Massachusetts Amherst

Curriculum vitae [PDF]


I am a PhD student in the School of Computer Science at UMass Amherst. I work with Professor Dan Sheldon in the Machine Learning for Data Science laboratory.

I recieved a B.S. in Applied & Engineering Physics in 2010 and an MEng in Computer Science in 2011, both from Cornell University. From 2011 to 2014 I worked at MIT Lincoln Laboratory, where I developed Machine Learning techniques to aid intelligence analysts.

When more interesting things occur in my life, e.g. backpacking trips around Europe, I post about it on Summer of Garrett.


I like making algorithmic hammers with which other scientists can use to hit nails in their domain. With Dan Sheldon, I find interesting and challenging problems in the Environmental Sciences and then develop novel machine learning algorithms and techniques to help solve those problems. I am currently working with ornithologists and conservationists to better understand continent-wide bird migration.


UMass Amherst

Innovative Visualizations Shed Light on Avian Nocturnal Migration.[PDF]
Judy Shamoun-Baranes, Andrew Farnsworth, Garrett Bernstein, et al.
PLOS ONE, 2016
Consistently Estimating Markov Chains with Noisy Aggregate Data.[PDF]
Garrett Bernstein, and Daniel Sheldon
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016)
Inference in a partially observed queueing model with applications in ecology. [PDF]
Kevin Winner, Garrett Bernstein, and Daniel Sheldon
Proceedings of the 32nd International Conference on Machine Learning (ICML) 2015

MIT Lincoln Laboratory

Bayesian Discovery of Threat Networks [PDF]
Steven Smith, Ken Senne, Ed Kao, Garrett Bernstein, and Scott Philips
IEEE Transactions on Signal Processing
Bayesian Network Detection Using Absorbing Markov Chains [PDF]
Steven Smith, Ed Kao, Ken Senne, Garrett Bernstein
Stochastic Agent-Based Simulations of Social Networks [PDF]
Garrett Bernstein and Kyle O'Brien
Proceedings of 46th Annual Simulation Symp., San Diego, 7-10 April 2013
Best Paper Award
Covert Network Detection [PDF]
Steven Smith, Ken Senne, Scott Philips, Ed Kao, Garrett Bernstein
Lincoln Laboratory Journal. Vol. 20(1). 2013 : 47-61