William Tong

Kempner Graduate Fellow
PhD Student in Applied Mathematics

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William Tong is a graduate student in applied math at the Harvard School of Engineering and Applied Sciences, with broad interests in understanding the computational basis of intelligent behavior. He received a BA in computer science and statistics from Columbia University, where he worked on modeling the human perception of faces and decoding spike trains from natural-scene stimuli. Tong obtained his MS in data science from Harvard University, where he studied automated curriculum learning and compositional generalization in RNN models. During a brief stint in industry, he designed document-ingest pipelines to extract key information from loan application term sheets and airplane service logs.

Research Focus

Tong’s current research focuses on deep learning, computational neuroscience, and reinforcement learning.