Fellows Directory

Displaying 1 - 6 of 6
De Lozanne headshot

Arturo De Lozanne

Alumni
Molecular Biosciences
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College of Natural Sciences
Initiative Focus
Active Learning
Photo of Calvin Lin

Calvin Lin

Alumni
Computer Science
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College of Natural Sciences

Calvin Lin is a computer science professor at the University of Texas. He does research in compilers, with a current focus on security and scalable and precise analysis, including pointer analysis. He also has interests in microarchitecture, and he has written a textbook with Larry Snyder called Principles of Parallel Programming. His research also includes increasing programmer productivity by improving system performance, correctness, and ease of programming. He is a member of the UT Academy of Distinguished Teachers and received the UT Regents’ Outstanding Teaching Award in 2011.

Markert headshot

Christina Markert

Alumni
Physics
|
College of Natural Sciences
Initiative Focus
Curriculum Redesign
Active Learning
Photo of Michael Starbird

Michael Starbird

Alumni
Mathematics
|
College of Natural Sciences

Michael Starbird is a University Distinguished Teaching Professor of Mathematics at The University of Texas at Austin. He has been at UT his whole career except for leaves, including to the Institute for Advanced Study in Princeton, New Jersey and the Jet Propulsion Laboratory in Pasadena, California. He has received more than fifteen teaching awards including the Mathematical Association of America's 2007 national teaching award, the Minnie Stevens Piper Professor statewide award, the UT Regents' Outstanding Teaching Award, and most of the UT-wide teaching awards.

Vanden Bout headshot

David Vanden Bout

Alumni
Chemistry
|
College of Natural Sciences
Initiative Focus
Online and Blended Learning

Project Title: Data Drive Course Design: Differentiation of Chemistry Concept Retention between Standard and Hybrid Courses. 

 

Steve Vokes, Provost's Teaching Fellows

Steven Vokes

Alumni
Molecular Biosciences
|
College of Natural Sciences
Initiative Focus
Experiential Learning