Bert Huang is an assistant professor in the Department of Computer Science and the Data Intensive Studies Center at Tufts University. He earned his PhD from Columbia University in 2011, was a postdoc at the University of Maryland, and previously was an assistant professor at Virginia Tech. His research addresses topics surrounding machine learning. He focuses on modeling complex phenomena, learning in settings with low-quality data, and making algorithms more fair. His papers appear at conferences including NeurIPS, ICML, UAI, and AISTATS. He is also an action editor for the Journal of Machine Learning Research.
- Assistant Professor, Department of Computer Science, Tufts School of Engineering
- Assistant Professor, Data Intensive Studies Center
Assistant Professor, Department of Computer Science, Virginia Tech
Postdoctoral Research Associate, Department of Computer Science, University of Maryland
Lecturer, Department of Computer Science, Columbia University