Lyda Hill Department of Bioinformatics
Driving innovation in computer science for innovation in biomedicine
Advances in biomedicine depend upon innovative approaches that are capable of recognizing complex associations in increasingly higher-dimensional data. Providing this innovation is the core task of bioinformatics. Previously understood as the computational branch of genetics and genomics, bioinformatics is fast becoming an overarching science of biomedical information processing. The Lyda Hill Department of Bioinformatics seeks to generate the intellectual and technical infrastructure required to integrate vastly diverse data types into models for the purpose of explaining biomedical processes from the molecular to the human scale and predicting future outcomes of process interventions from current observations.
The foundation of our Department’s research programs is mathematics and computer science. Within our own labs and in collaborations across campus, we also engage in the development of experiments that enable and amplify the explanatory and predictive power of our computational models. Our Department is therefore home to theoreticians and experimentalists alike, who share a passion for the scientific exploration of uncharted territory in biomedicine through mathematical formalism and computation. BioHPC, a world-class academic computing facility, is housed within our Department and employs a team of scientists dedicated to enabling computationally-driven research in the environment of a major academic medical center. In Spring 2021, the Department also integrated the Cecil H. and Ida Green Center for Systems Biology, which focuses on probing, modeling and programming of genetic and molecular circuits in cancer and bacteria.
Department News
Dr. Hanieh Mazloom-Farsibaf awarded an NIH K99/R00 for her project titled "Data-driven mechanistic models of morphology-controlled Ras oncogenic signaling"
Dr. Andrew Jamieson and team develop AI model to dramatically reduce assessment burden on medical school educators without compromising accuracy, in collaboration with the UTSW Simulation Center. Read about the study here: Rubrics to Prompts: Assessing Medical Student Post-Encounter Notes with AI
Dr. Stephan Daetwyler, an instructor in the Fiolka Lab led by Dr. Reto Fiolka, made a self driving microscope: UT Southwestern scientists develop ‘self-driving’ microscope.