CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Broader issues surrounding model transparency in criminal justice risk scoring
Cynthia Rudin, Caroline Wang, Beau Coker (2020). "Broader issues surrounding model transparency in criminal justice risk scoring." HDSR. 2(1).
In pursuit of interpretable, fair and accurate machine learning for criminal recidivism prediction
Caroline Wang, Bin Han , Bhrij Patel, Feroze Mohideen, Cynthia Rudin (2022). "In pursuit of interpretable, fair and accurate machine learning for criminal recidivism prediction." Journal of Quantitative Criminology.
DM$^2$: Distributed multi-agent reinforcement learning via distribution matching
Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone (2022). "DM$^2$: Distributed multi-agent reinforcement learning via distribution matching" arXiv preprint.
Talks
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams