I am a Sr. Staff Data Scientist at Medidata Solutions where I work at the intersection of Data Science, AI, Virtual Twins and Clinical Trials. Past experience in ML and AI includes my work as an Insight Data Science Fellow for Maslo.AI, Postdoctoral Associate at Weill Cornell Medicine, and Data Science Consultant at Slalom Consulting I have a PhD in Computational Biology (2020) from Cornell University where I researched errors in disease diagnoses using Bayesian hierarchical models. Prior to Cornell, I graduated from MIT with an S.B. in Biological Engineering. I am passionate about developing methods and models to get insights from high-dimensional datasets. I have extensive experience in problem-solving and extracting information from diverse datasets (e.g. medical imaging, genetic, microbiome, internet traffic data, audio recordings) to answer relevant questions.