Daniel’s interest in computational toxicology took shape during his undergraduate studies at Duke University, where he earned a B.S. in Computer Science and Chemistry. He researched environmental health exposures under the supervision of Professor Heather Stapleton, focusing on per- and polyfluoroalkyl substances (PFAS). For his senior thesis, he joined the North Carolina Firefighter Cancer Cohort Study to characterize PFAS exposure in firefighters and identify occupational hazards. Alongside this work, Daniel worked under Dr. Nicole Kleinstreuer at the National Institutes of Health (NIH), contributing to the development of new approach methodologies (NAMs) and applying computational techniques to assess cardiotoxicity and model VEGF-mediated atherosclerosis. Through the support of the Marshall Scholarship, Daniel is now a first-year PhD student under the supervision of Professor Anne Willis at the MRC Toxicology Unit (University of Cambridge), with Dr. Jess Ewald serving as his PhD advisor. For his project, he applies computational methods and in vitro screenings to assess the toxicity of nucleic acid-dependent therapeutics, with a particular focus on antisense oligonucleotides (ASOs). He is especially interested in predicting toxicity from chemical features and cell painting data, and in elucidating the underlying mechanisms of ASO toxicity.