About

I am an R&D Engineer in the Department of Scientific Intelligence and Computing at the National Institute of Clean-and-Low-Carbon Energy (NICE) focusing on AI for Science. Before joining NICE, I was an assistant professor in the Department of Computer Sciences and Artificial Intelligence (School of Information Engineering) at the China University of Geosciences (Beijing).

I have hybrid backgrounds in geoscience and computer science. My primary research interests lie in utilizing data-driven methods to explore and address Earth-related problems, particularly those in paleoclimate and paleogeography. I have also been involved in projects related to geoscientific software development, quantitative stratigraphy, and spatiotemporal analytics. In addition, I was a participant of the Deep-time Digital Earth (DDE) project and co-founder of the GISphere educational platform.

I finished my Ph.D. at University of Wisconsin-Madison where I worked on EarthCube projects and was co-advised by Shaun Marcott and Shanan Peters. I hold a master’s degree from the University of Tulsa supervised by Bryan Tapp with a focus in computational geomechanics.

Research Interests

Geoscientific Big Data, Geoscience Software Development, Data Quality in Earth Sciences, AI for Science (Paleoclimate, Macroevolution, etc.)

Education

• Ph.D. University of Wisconsin-Madison, Geosciences (Geoinformatics), 2018-22
• M.S. University of Tulsa, Geosciences (Computational Geomechanics), 2016-18
• B.S. University of Michigan, Earth and Environmental Sciences, 2013-15 & The Pennsylvania State University, Geographic Information Sciences, 2011-13

Teaching

China University of Geosciences (Beijing)

• SR043268: Introduction to Artificial Intelligence
• DR040017: Data Analysis and Visualization
• DR043229: Computer Vision

University of Tulsa

• GEOL 4083: GIS for Geologists (as temporary lecturer)

University of Michigan

• UC 270: Social Justice (as teaching assistant)

Pennsylvania State University

• GEOG 363: GIScience (as teaching assistant)