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Divya Ramamoorthy is a Machine Learning Scientist II at Tessera Therapeutics, where developments include a Bayesian approximation algorithm that significantly reduced screening costs and turn-around time. Prior to this role, Divya served as a Machine Learning Scientist I at the Massachusetts Institute of Technology, concentrating on Bayesian models for clinical data and mentoring undergraduate researchers. Notable internships include work at Novartis Institutes for BioMedical Research and IBM, focusing on CAR-T therapy modeling and cloud services development, respectively. Divya holds a PhD in Biological Engineering from MIT and dual Bachelor’s degrees in Biomedical Engineering and Plan II Honors from The University of Texas at Austin.