The College of Natural Sciences frequently highlights the achievements of its faculty and students in our news magazine, Texas Science. Here, we provide links to just a few examples of our exceptional faculty and students who are changing the face of science in the 21st century:

Dr. Lauren Ehrlich

Dr. Lauren Ehrlich joined the Molecular Genetics & Microbiology faculty at the University of Texas at Austin in August 2010.

The Speaker: Fall Graduation 2009

Erica Rubin was selected as the student speaker for the college's fall graduation ceremonies in 2009.

Orange Jackets

A select group of 40 undergraduate women dedicated to the principles of scholarship, leadership and service—Vicki Chang and Elaine Sedenberg have a number of responsibilities.

Public Health Internship Program

When Sami Miller and Kelly Broussard decided to head down to the border last summer, they didn't expect to end up in the middle of the global swine flu pandemic.

Dr. Alex Demkov

For one month this summer, 11 girls from Austin-area high schools will get a taste of the physics good life as participants in the Alice in Wonderland program. The girls will even get paid a $1,000 stipend.

Top Undergraduates Share Goals for Future

Three natural sciences graduates — Lynne Chantranupong, Marissa Duswalt and Grace Eckhoff — are featured in this video where five graduating top scholars share their dreams and aspirations to change the world after commencement.

Dr. Pearl Sandick

Dr. Pearl Sandick, a post-doctoral fellow in the theory group of physics professor Dr. Steven Weinberg, looks for dark matter in ice.

Krista Smith, Astronomy Undergrad

Krista Smith’s research in Dr. Greg Shields’ lab has become the center of her academic experience in Austin. In April, Smith was the first author on a paper that was published in The Astrophysical Journal, the premier astronomical research journal.

Seeing Anew

Dr. Kristen Grauman, assistant professor in the Department of Computer Science, is searching for ways to help computers sift through visual information so that someday our computers might be as good at analyzing visual data as they are at dealing with textual data.