Rico Angell

I am a Ph.D. student in computer science at University of Massachusetts Amherst working with Yuriy Brun on fairness in machine learning. My CV can be found here.

I completed my undergraduate degree at University of Michigan in Ann Arbor in computer science and engineering with a minor in math. I worked with Andrew DeOrio applying machine learning to hardware verification and Grant Schoenebeck on a heuristic for the influence maximization problem.


Inferring Latent Velocities from Weather Radar Data using Gaussian Processes
Rico Angell and Daniel Sheldon
Conference on Neural Information Processing Systems (NIPS) 2018. To appear.

Themis: Automatically Testing Software for Discrimination
Rico Angell, Brittany Johnson, Yuriy Brun and Alexandra Meliou
Demonstrations Track, Joint European Software Engineering Conference and Symposium
on the Foundations of Software Engineering (ESEC/FSE) 2018.

Don’t Be Greedy: Leveraging Community Structure to Find High Quality Seed Sets
for Influence Maximization

Rico Angell and Grant Schoenebeck
International Conference on Web and Internet Economics (WINE) 2017.

A Topological Approach to Hardware Bug Triage
Rico Angell, Ben Oztalay, Andrew DeOrio
Microprocessor and SOC Test and Verification (MTV) 2015.


rangell [at] cs [dot] umass [dot] edu

College of Information and Computer Science
University of Massachusetts
140 Governors Dr
Amherst, MA 01002