Cole Deisseroth is a graduate student in the Medical Scientist Training Program at Baylor College of Medicine. He is particularly interested in improving our ability to diagnose and treat rare genetic disorders, and much of his research has centered around optimizing natural language processing techniques such that their output can be fed directly into downstream tasks without manual intervention. As an undergraduate, he developed a tool called ClinPhen that automatically extracts and codifies disease phenotypes from medical records, which has improved the practicality of computational pipelines designed to help diagnose Mendelian disorders. More recently, he created a tool called PARsing ModifiErS via Article aNnotations (PARMESAN), which extracts gene-gene and drug-gene regulatory relationships from the medical literature, and uses the extracted information to predict unreported relationships, potentially guiding screens for genetic disease therapeutics.