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Armando Solar-Lezama

Professor of Computing, MIT

Armando lead the Computer Assisted Programming Group . The focus of our research is program synthesis, an exciting research area that lies 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 help bring more automation to the programming process. On the other hand, we believe 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.

Year of Publication:

Venue:

Workshop on Continual Adaptation at Scale: Towards Sustainable AI, in conjunction with ICML 2026 (covered by VentureBeat)

2026

Publication Type:

Conference

Status: 

Accepted

Authors:

Ryan Wei Heng Quek (NUS), Sanghyuk Lee (U Tokyo & Liquid AI), Alfred Wei Lun Leong (NUS & AI Singapore), Arun Verma (SMART), Alok Prakash (SMART), Nancy F. Chen (A*STAR), Bryan Kian Hsiang Low (NUS & SMART), Daniela Rus (MIT & SMART), Armando Solar-Lezama (MIT & SMART)

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