Dr. Tian-Yi Zhou is a Postdoctoral Research Scientist in the Data Science Institute, where she is part of the 8th cohort of the DSI Postdoctoral Fellows Program. Her research focuses on the theoretical foundations of deep learning. She studies the statistical and computational principles that drive the success of deep learning, with the goal of enhancing the performance of systems that leverage these technologies. More recently, her work has extended into cybersecurity, where she explores the theory and applications of network intrusion detection.
Under the guidance of Professor Qiang Du and Professor Samory Kpotufe, Dr. Zhou will develop theoretically-governed framework learning operators with applications to meta-learning, particularly focusing on anomaly detection in security contexts.
Before joining Columbia University in July 2025, Dr. Zhou earned her Ph.D. in Machine Learning from the School of Industrial and Systems Engineering at Georgia Institute of Technology. She also holds a B.Sc. in Statistics with first-class honors at the University of Hong Kong.