Research Interests

The research questions that motivate me relate to supporting sound experimental methodologies within complex software systems. I use methods from domain-specific programming language design to build languages and tools for data scientists, social scientists, and machine learning researchers. Representative publications include:

• PlanAlyzer: Assessing Threats to the Validity of Online Experiments
• SurveyMan: Programming and Automatically Debugging Surveys
• Toybox: Better Atari Environments for Testing Reinforcement Learning Agents

My statement of research philosophy gives a representative view into how these ideas tie together.

Keywords: domain-specific languages, static analysis, software testing, data science, computational social science, experimentation, reinforcement learning

Teaching

UVM CS 395: Domain-Specific Languages, Fall 2021 (tentative)

UVM CS 253: Reinforcement Learning, Spring 2021

UMass CS 240: Reasoning Under Uncertainty, Spring 2018

Meeting Availability

For UVM students: I keep my work (Teams) calendar up to date. If you'd like to meet with me, please use the scheduling assistant in Teams to pick a time during normal work hours (M-F 9-5) when we are both free and send a calendar/Teams invite with a short description of the nature of the meeting.

For anyone else: Please send me a calendar invite for a time that works for you. I try to keep my Google calendar (below) mirrored, but it may not be up to date.

Fun Facts About Me

I was once described as "a young Bernie Sanders."