CSGF Welcomes 2014-15 Incoming Class of 23
Location
Ames, Iowa
In 1991, in an effort to address the shortage of computational scientists in the United States, the Department of Energy developed an innovative fellowship program. Nearly 25 years later, the Department of Energy's Computational Science Graduate Fellowship (DOE CSGF) continues its commitment to training the next generation of scientific leaders as it welcomes 23 new students.
Awardees for the 2014-2015 academic year are as follows:
| Alnur Ali Carnegie Mellon University Machine Learning Thomas Anderson California Institute of Technology Applied and Computational Mathematics Hannah DeJong Stanford University Genetics Hilary Egan University of Colorado Astrophysics Kyle Felker Princeton University Applied and Computational Mathematics Jonathan Gootenberg Harvard University Computational Biology Morgan Hammer University of Illinois at Urbana-Champaign Theoretical Chemistry Jordan Hoffmann Harvard University Applied and Computational Mathematics Thomas Holoien The Ohio State University Astronomy Julian Kates-Harbeck Harvard University Physics Alexander Kell Massachusetts Institute of Technology Computational Neuroscience Aditi Krishnapryian Stanford University Condensed Matter Physics and Materials Science |
Ryan McKinnon Massachusetts Institute of Technology Physics Danielle Rager Carnegie Mellon University Neural Computation Adam Riesselman Harvard University Bioinformatics and Integrative Genomics Adam Sealfon Massachusetts Institute of Technology Computer Science Jay Stotsky University of Colorado Applied Mathematics Mukarram Tahir Massachusetts Institute of Technology Materials Science and Engineering Thomas (Ben) Thompson Harvard University Geophysics Gerald Wang Massachusetts Institute of Technology Mechanical Engineering Kathleen Weichman University of Texas Physics Alexander Williams University of California, San Diego Computational Neuroscience Joy Yang Massachusetts Institute of Technology Computational and Systems Biology |
View our online fellow directory to learn more about the incoming class and all current DOE CSGF students.