Kevin Shionalyn

|Research Associate
Academic Appointments

Research Associate

Kevin is interested in applications of machine learning and other statistical methods for studying remote areas, such as Earth's cryosphere. They work in the Ice Future lab at Dartmouth to develop physics-informed neural networks (PINNs) for studying ice sheets, glaciers, and ice-ocean interactions.

Contact

Kevin.W.Shionalyn@dartmouth.edu
Fairchild, Room 225
6105

Department(s)

Earth and Planetary Sciences

Education

  • Ph.D. University of Texas at Austin
  • B.S. Central Washington University
  • B.S. Southern Utah University

Selected Publications

  • Kevin Shionalyn, Ginny Catania, Daniel T. Trugman, Michael G. Shahin, Leigh A. Stearns, and Denis Felikson. 2026. Outlet glacier seasonal terminus prediction using interpretable machine learning. The Cryosphere, doi.org/10.5194/tc-20-1725-2026