Dr. Danny Diaz is currently a post-doc at the Institute for Foundations of Machine Learning at The University of Texas at Austin where he leads the Deep Proteins group. He received his dual B.S. degrees in chemistry and biochemistry from Texas A&M University and his Ph.D. in chemistry at UT Austin. His research focus lies at the intersect of chemical biology and machine learning where he develops data pipelines and machine learning algorithms to accelerate the engineering of proteins for biotechnology applications. So far, he has collaborated with experimentalist to demonstrate how machine learning can guide the engineering of proteins for plastic bioremediation, pharmaceutical biomanufacturing, viral diagnostics, antibodies, and cancer therapies. He has recently founded a startup—Intelligent Proteins, LLC—that aims to leverage machine learning to develop protein-based therapeutics and enzymes for biomanufacturing of pharmaceuticals.