Faculty Scholars

Faculty Scholar Alex Feltus, Ph.D. at Clemson University, Clemson South Carolina

Frank Alexander Feltus, Ph.D.

Department of Genetics and Biochemistry
College of Science

Contact: 864-656-3231 or ffeltus@clemson.edu

Who is Dr. Feltus?

Dr. F. Alex Feltus received a B.Sc. in Biochemistry from Auburn University in 1992, served two years in the Peace Corps in the Fiji Islands, and then completed advanced training in biomedical sciences at Vanderbilt and Emory. He has performed research in artificial intelligence, bioinformatics, cyber infrastructure, high-performance computing, network biology, tumor biology, agrigenomics, genome assembly, systems genetics, paleogenomics, and bioenergy feedstock genetics. Currently, Feltus is professor in Clemson University’s Dept. of Genetics & Biochemistry, CEO of Allele Systems LLC, and co-Founder of Praxis AI, LLC. Feltus has published numerous scientific articles in peer-reviewed journals, released open source software, and taught undergrad and PhD students in bioinformatics, biochemistry, and genetics. He is funded by multiple NSF grants and is engaged in tethering together extremely smart people from diverse technical backgrounds to propel genomics research from the Excel-scale into the Exascale.

For more information, see his Department Profile.

How Dr. Feltus’ research is transforming health care

The Feltus lab and collaborators use computational biology techniques to discover biomarker systems that underly complex traits. We then hypothesize biochemical mechanisms that drive normal tissue development and how some human tissue shifts to an aberrant state. Our target systems are breast cancer redirection, autism spectrum disorder, kidney cancer, and normal brain tissue gene expression states. To do this work, we develop cloud based compute systems and adapt extant or develop novel machine learning algorithms to detect genetic patterns associated with specific biological conditions.

News and media related to Dr. Feltus’ research

Health Research Expertise Keywords

Tumor biology, Machine learning, Computational biology, Austim spectrum disorder, Systems biology