Natural and Engineered Intelligence
School of Data and Information Sciences · University of North Carolina at Chapel Hill
The Singh Lab builds computational models of complex biological and artificial systems, and tests whether those models truly explain the systems they imitate.
Our work spans artificial intelligence, data science, reinforcement learning, computational neuroscience, dynamical systems, and scientific simulation.
Recruiting: PhD students for Fall 2027 (apply by Dec. 15, 2026), plus undergraduate research assistants and post-baccs. How to join · Interest form
News
- Nov 2026 Satpreet (Sat) Singh has joined the UNC School of Data and Information Sciences as an assistant professor. Read the announcement
- Oct 2026 Paper on when curriculum learning helps in RL accepted at NeurIPS 2026, plus extended abstracts at the NeurIPS workshops on Interpretability for Discovery and Developmental Perspectives on AI.
- Sep 2026 Guest lecture on deep RL and "virtual model organisms" in Harvard's Math 242: Evolutionary Dynamics.
- Aug 2026 Two posters at CCN 2026: larval zebrafish hunting (Proceedings of CCN 2026) and zebrafish collective behavior.
- May 2026 Talk on electric-fish communication and unsupervised machine translation at the Harvard/MIT Workshop on Invented, Constructed, and Emergent Languages in Multi-Agent AI Systems.
- May 2026 Talk at the Kempner Spring into Science Symposium: "Reverse-engineering natural intelligence in weakly electric fish: a virtual laboratory approach."
- Apr 2026 Talk at the Janelia conference on Simulated Bodies: Whole Body Biomechanical Models.
- Mar 2026 InputDSA oral talk at CoSyNe 2026, and the second Agent-Based Models in Neuroscience workshop.
Older news and blog posts are on Satpreet (Sat) Singh's homepage →