Hi, Jenn here!
I'm a senior at Brown University studying Computer Science with an interest in human-computer interaction, algorithmic fairness, and AI governance.
My work explores transforming high-level societal objectives (e.g., what it means for a system to be intuitive to use or equitable in its decisions) into operationalizable low-level specifications.
Research publications
Shout out to my wonderful collaboraters!
Enabling End Users to Program Robots Using Reinforcement Learning.
Tewodros Ayalew*, Jennifer Wang*, Michael Littman, Blase Ur, Sarah Sebo.
Forthcoming at the IEEE/ACM International Conference on Human-Robot Interaction (HRI 2025)
How the National Artificial Intelligence Research Resource can pilot
inclusive AI.
Jennifer Wang, Mark Muro
Brookings Institution (2024).
Votekit: A Python Package For Computational Social Choice Research.
Christopher Donnay, Moon Duchin, Jack Gibson, Zach Glaser, Andrew Hong, Malavika Mukundan, Jennifer Wang (Authors listed in alphabetical order)
Under review at Journal of Open Source Software 2024.
Kweku Kwegyir-Aggrey, Naveen Durvasula, Jennifer Wang, Suresh Venkatasubramanian
Proceedings of AAAI Conference on AI, Ethics, and Society (AIES 2024).
RLang: A Declarative Language for Expressing Prior Knowledge for Reinforcement Learning.
Rafael Rodriguez-Sanchez*, Benjamin Spiegel*, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris.
Proceedings of International Conference in Machine Learning (ICML 2023).
Check out my projects!
Some fun things I've worked on
Paragon Policy Fellowship
The Paragon fellowship is an opportunity for students to explore and gain experience working on science and tech policy issues in their state and local governments.
VoteKit
VoteKit, nicknamed “a Swiss army knife for social choice research”, is a Python package for researchers to study any stage of the ranked-choice voting election process.
End-User Robot Program
The End-User Robot Program is a project under the RLAB to study ways non-experts can interact with reinforcement learning systems through different programming paradigms in a visual interface.
Robotic Teaching Interface
The Robot Teaching Interface is a research project at NIST, to which I added reinforcement learning algorithm support so that goals can be given to the robot arm to perform pick-and-place tasks.
Where is Jenn?
Some cool places I've worked atResearch Intern
Brookings InstitutePolicy Intern
White House Office of Science and Technology PolicyI supported Deputy U.S. Chief Technology Officer in advancing the Executive Order on AI.
Civic Digital Fellow
U.S. Census BureauI analyzed the contributions of 10+ federal data sources to race and ethnicity records.
Impact Analytics Intern
Rhode Island State GovernmentI analyzed data for RI Rebounds, a $32 M effort to assist small businesses during Covid-19.
Software Engineering Intern
Microsoft CorporationI worked on the Billing team at Azure Storage to validate metrics across the billing pipeline.
Research Assistant
National Institute of Standards and TechnologyI worked under the Collaborative Robotics Lab to add ML support to a robot teaching interface.