Hanqi Guo is an assistant computer scientist at Argonne National Laboratory, a scientist at the University of Chicago Consortium for Advanced Science and Engineering (CASE), and a fellow of the Northwestern Argonne Institute for Science and Engineering (NAISE). His research interests include data analysis, visualization, and machine learning for scientific data. He has published more than 40 research papers in top visualization journals and conferences including IEEE VIS, IEEE TVCG, and IEEE TPDS. He is also the recipient of the best paper award in IEEE VIS 2019 and the winner of the 2017 Postdoctoral Performance Award in Basic Research in Argonne National Laboratory. He received his Ph.D. degree in computer science from Peking University in 2014, and the B.S. degree in mathematics and applied mathematics from Beijing University of Posts and Telecommunications in 2009.