Life Patterns in Extreme Environments
Media contact: Eric M. Eckert, (254) 710-1964 or the Office of Media Communications at (254)710-1961
In December 2013, Keith Schubert, Ph.D., associate professor of electrical and computer engineering in Baylor University’s School of Engineering and Computer Science, was a key player on a team of academic and NASA scientists who explored Cueva de Villa Luz, a cave suffused with deadly sulfuric acid near Tapijulapa in Mexico, as part of an expedition funded by the National Geographic Society.
Schubert built and installed custom camera equipment to study images of microbial communities forming on the cave walls. From those intricate patterns created by those communities, Schubert has developed cellular automata and differential equations that he believes can help predict the movement of biological communities as well as the health of extreme environments like deserts, caves and rivers, and, possibly, environments on other planets, like Mars.
Schubert hypothesizes that scientists might have discovered that the patterns are a "universal signature" among biological populations, something replicated throughout the world. He has seen the same patterns many times before - in tidal pools in California, caves in Hawaii, in the tropics off the coast of Africa, in the cold of Alaska and in the arid deserts of Australia and Israel.
The expedition was featured in the July 2014 issue of National Geographic.
Dr. Schubert’s Academic Specializations:
• Robust Estimation and Control
• Scientific Computation
• Medical and Space Applications
News Releases and Media Coverage
June 2014, Baylor University: Baylor Professor featured in National Geographic for Work in Extreme Environments
July 2014, National Geographic : The Hunt for Life Beyond Earth: One of the Oldest Questions May be Answered in our Lifetimes
Big 12 Academic Minute - Keith Schubert's Extreme Environments
Baylor Research and Innovation Collaborative - Dr. Schubert’s electrical and computer engineering lab is housed in Baylor’s new Baylor Research and Innovation Collaborative (BRIC).