Armando Solar-Lezama
Distinguished Professor of Computing, MIT Schwarzman College of Computing; Professor, Department of Electrical Engineering and Computer Science; Associate Director and COO, Computer Science and Artificial Intelligence Laboratory
Who they work with
Categories
Armando Solar-Lezama is a Distinguished Professor of Computing in the MIT Schwarzman College of Computing and a professor in MIT’s Department of Electrical Engineering and Computer Science (EECS). He is the associate director and COO in the Computer Science and Artificial Intelligence Laboratory (CSAIL), where he leads the Computer Assisted Programming Group. Solar-Lezama and his research group focus on program synthesis, a research area at the intersection of programming systems and artificial intelligence. On the one hand, program synthesis is about the use of automated reasoning and learning to bring more automation to the programming process. On the other hand, code provides a uniquely versatile modeling mechanism, so program synthesis can play a powerful role in helping to build learning systems that are more predictable and robust. Solar-Lezama earned a PhD from University of California, Berkeley.
Selected Publications
- Bowers, M., Lew, A. K., Tenenbaum, J. B., Solar-Lezama, A., & Mansinghka, V. K. (2025). Stochastic lazy knowledge compilation for inference in discrete probabilistic programs. Proceedings of the ACM on Programming Languages, 9(PLDI), Article 222, 1863–1887. https://doi.org/10.1145/3729325
- Gupta, K., Sanders, K., & Solar-Lezama, A. (2025). Randomly sampled language reasoning problems reveal limits of LLMs. In Proceedings of the VerifAI Workshop at the 13th International Conference on Learning Representations (ICLR).
- Tjandrasuwita, M., Xu, J., Solar-Lezama, A., & Matusik, W. (2024). MeMo: Meaningful, modular controllers via noise injection. In Advances in Neural Information Processing Systems 37: Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS).
Media
- June 9, 2025: MIT News, Envisioning a future where health care tech leaves some behind
- February 11, 2025: MIT News, Bridging philosophy and AI to explore computing ethics