Tengfei Ma is a staff research scientist in IBM T. J. Watson Research Center. Prior to moving to the US, he obtained his Ph.D. from the University of Tokyo and joined IBM Research Tokyo in 2015. Before that he got his master’s degree from Peking University and his bachelor degree from Tsinghua University. His research interests include machine learning, natural language processing and computational healthcare. Recently his research is mainly focused on graph neural networks and their applications. He is leading the internal project of deep learning on graphs which got the IBM outstanding research achievement in 2019, and he is also a co-PI for a DARPA project about wound healing. He has published over 50 papers in top AI conferences such as NeurIPS, ICLR, ICML, AAAI, and he is a recipient of the best paper award in ISWC 2021 research track.
More details can be found in his homepage https://sites.google.com/site/matf0123.