Databases, cloud computing, big-data analytics, scientific data management, machine learning and data management, image and video analytics, data management for VR/AR
Machine learning, speech/language/bioinformatics/music, submodularity & discrete optimization
Data visualization and analysis, human-computer interaction and social computing
Design, implementation, and analysis of high-performance computing and communication systems; data-intensive discovery (eScience); information technology and public policy
Vinayak Gupta works with Prof. Tim Althoff in the Behavioral Data Science Lab. His research interests broadly lie in the intersection of data mining and machine learning. Specifically, he focuses on neural generative models, including graph-based and temporal point processes, and applies them to domains such as healthcare, behavioral streams, and recommendation systems.
Xinyi Zhou is a postdoctoral scholar working with Allen School professors Tim Althoff and Amy Zhang. Her research interests are broadly in the intersection of data mining, machine learning, and social computing. Her research has and will continue striving to bridge the gap between social theories and (multimodal) ML/AI techniques to comprehend and improve the online information ecosystem that can breed misleading, untrusted, biased, threatening, insecure, and distracting messages.
Graduate Students (CSE)