Fellows Directory

Samy Ayoub

Current Fellow

Matt Bowers

Current Fellow

Dr. Matt Bowers is an Associate Professor of Instruction in Sport Management at the University of Texas at Austin. He studies youth development in and through sports and has published research studies related to the impact of sport participation on creativity and the value of sandlot/unstructured sports for children. His work has been featured in Sports Illustrated, Wired, The Atlantic, and Wall Street Journal, SXSW, and the Aspen Institute’s Sport for All, Play For Life: A Playbook to Get Every Kid in the Game.

Jules Elkins

Current Fellow

Dr. Elkins is the Director of Sustainability Studies and Assistant Professor of Instruction in the Department of Geography and the Environment. Dr. Elkins’ research and teaching is in environmental health, and healthy indoor environments. She is particularly interested in low-dose chemical exposures, especially during the period from preconception to early childhood. Her interests focus on how exposures can be practically and cost-effectively reduced or prevented based on evidence-based models of what interventions measurably work.

Layla Guyot

Current Fellow

Layla Guyot is a data scientist, educator, and researcher, who joined UT Austin during Fall 2020. After pursuing mathematics and physics in undergrad, Layla completed a M.S. in Applied Probability and Statistics, just by chance. She gained some experience as a statistician before combining her aspiration to teach and conduct research through her Ph.D. in Mathematics Education at Texas State University. Her research focuses on designing courses and developing curriculum materials to promote authentic practices and ease the transition to the workplace.

Krishna Kumar

Current Fellow

Krishna Kumar is an Associate Professor in the Civil, Architecture, and Environmental Engineering at the University of Texas at Austin. Krishna’s work involves developing exascale micro and macro-scale numerical methods for modeling natural hazards. Krishna also develops Scientific Machine Learning algorithms: Graph Network Simulators and Differentiable programming to accelerate numerical methods and solve optimization, design, and inverse problems.

Karen M Landolt

Current Fellow

Karen Landolt is an Associate Professor of Instruction in the Business, Government and Society Department and in the Department of Computer Science. She teaches Business Law, Behavioral Ethics, Entrepreneurship, Intellectual Property Law, and Negotiations. Her courses have a service-learning component, allowing students to use real-life problems and tasks to increase cultural awareness, learning, and retention. She previously received a Course-developer Award (2020-2022) from the Provost Experiential-Learning Initiative.