William Tong
Kempner Graduate Fellow
PhD Student in Applied Mathematics
He/Him
Contact Information
Areas I Research:
About
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.