Home / Matt Tegtmeyer
I am a geneticist and stem biologist whose research focuses on the intersection between cell biology and quantitative and translational genomics. I develop and implement novel experimental paradigms in an effort to scale in vitro biological systems to ‘population’ levels which enable large scale human phenomics. I have led and played critical roles in large-scale cellular genetic studies to translate genetic risk variants into functional interpretation across a range of molecular and cellular data types. In my independent position at Purdue, my lab will emphasize four main themes: (1) expand on the integration of cellular and genomics tools to guide the design of functional validations for quantitative genetic studies across organisms; (2) leverage human model systems for drug discovery, with a principle focus on understanding the genetic influences on treatment response; (3) developing novel computational and statistical approaches for multi-modal and multi-omic data integration; and (4) apply gene-editing technologies to investigate disease associated genetic variation. My research over the past years has succeeded in building a foundation for these four pillars, elucidating functional phenotypes associated with a range of rare and common genetic variants, and showing how phenotypes linked to those variants manifest in various contexts across cell types and pharmacological environments. My work will continue to leverage these innovations and further expand on scientist’s capabilities to unravel the mysterious black box which rests between our DNA and the lived experience in health and disease across humans and animals. A major component of these efforts will incorporate a long-standing commitment to interdisciplinary research across Purdue.
Founding Director, Lucy Family Institute for Data and Society Frank M. Freimann Professor of Computer Science and Engineering, College of Engineering
Research Scientist, IU Luddy School of Informatics, Computing, and Engineering
Assistant Professor, Luddy School of Informatics, Computing, and Engineering, Indiana University Indianapolis