- Published multiple papers, including a new method for building agents that can coordinate with humans without human data at ICML
- Presented talks at various academic conferences and workshops, such as the Human-AI Complementarity for Decision Making Workshop at CMU and the New York RL Workshop
- Received support from NSF GRFP and Rackham Merit Fellowship
Research Experience
- Research Fellow at Harvard's Kempner Institute for the Study of Natural and Artificial Intelligence, working closely with Sam Gershman
- Conducted extensive research at DeepMind during Ph.D. studies at the University of Michigan
- Worked on machine learning for healthcare during M.S. at USC
- Participated in computational nuclear physics research during B.S. at Stony Brook University
Education
- Ph.D. from the University of Michigan, supervised by Satinder Singh, Honglak Lee, and Richard Lewis, with significant time spent at DeepMind working with Murray Shanahan, Daniel Zoran, and Danilo Rezende
- M.S. in Computer Science from USC, supervised by Yan Liu, focusing on machine learning for healthcare
- B.S. in Physics from Stony Brook University, supervised by Axel Drees, working on computational nuclear physics
Background
Aspiring Cognitive Scientist. Research interests include how the brain discovers and encodes predictive knowledge using rich sensory observations, and how this knowledge is exploited to make effective plans, combine known behaviors, and coordinate with other social agents. Aiming to build tools that enhance human agency and help people achieve their goals through theoretical understanding.
Miscellany
Feel free to contact me if you'd like to collaborate or be mentored on a research project! You can reach me at wcarvalho[at]g.harvard.edu