About me
Hi, I'm Siqi Lu! I'm a Ph.D. student in Computer Science at The College of William & Mary, working in the Robust and Adaptive Intelligence Laboratory (RAIL) under Dr. Ayan Mukhopadhyay. I hold an M.S. in Electrical and Computer Engineering from Vanderbilt University and a B.S. in Electrical Engineering from the University of Illinois Urbana-Champaign.
My research focuses on decision making under uncertainty — building AI systems that reason robustly and transparently in complex, real-world environments. I'm also interested in explainable AI and have prior research experience in biomedical imaging and remote sensing.
Research Areas
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Decision Making Under Uncertainty
Building robust AI systems that reason and plan under uncertainty, including explainability frameworks for Monte Carlo Tree Search.
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Explainable AI
Developing interpretable and transparent AI systems, including LLM-based pipelines for generating evidence-grounded explanations.
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Biomedical Imaging
Nuclei segmentation and AI foundation model evaluation in kidney pathology at Vanderbilt University Medical Center.
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Remote Sensing
Survey and evaluation of 59 vision foundation models for remote sensing; active learning for agriculture segmentation.
