Ananya Krishna is a senior at Yale University studying Applied Mathematics and Machine Learning. She has conducted AI x Biology research at the NIH, GlaxosmithKline, IBM Research, and DARPA in areas like computational drug discovery, model interpretability, and adversarial biological intelligence . She has commercialized novel AI methods with the National Science Foundation, worked as a founding engineer at data and security startups, and collaborated with venture firms through Yale’s selective Hillhouse Fellowship. As a Science Fellow with the Bipartisan Commission on Biodefense, she collaborates with industry leaders and public innovators, benchmarking models for hazards and shaping U.S. biotech competitiveness, advancing interpretability for biological LLMs. On campus she leads the Yale AI Association and is a Jackson Global Health Scholar. Her work centers on AI for science, Adversarial/Explainable AI, CBRN, and cybersecurity.