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Professor Lam's current research interest is to create effective, reliable AI assistants that accelerate the discovery of knowledge. The OVAL lab has developed numerous open-source LLM-based tools for consumers, historians, and journalists; currently, Lam's focus is on research assistants that uncover new insights in biomedicine and technical fields. Her team has created a conversational agent that is quantifiably factual and engaging, which won the Research Year Award from the Wikimedia Foundation. Additionally, she pioneered a deep research agent, STORM, utilized by millions of users, and developed a leading agent that integrates knowledge from hybrid sources, including databases and knowledge graphs. Moreover, her framework produces fluent, task-oriented agents while minimizing hallucinations. Professor Lam is also an expert in compilers for high-performance machines, and her pioneering work on affine partitioning offers a cohesive theory in loop transformations for parallelism and locality. Her software pipelining algorithm is used in commercial systems to enhance instruction-level parallelism. Her research team has created the widely adopted research compiler, SUIF, and she is a co-author of the classic compiler textbook known as the ‘dragon book’. Lam is a member of the National Academy of Engineering and a Fellow of the Association for Computing Machinery (ACM).
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.