Xi Yang is an AI and quantitative scientist with a decade of experience translating academic rigor into production-ready GenAI and data-driven solutions. Currently advising GenAI efforts at Eli Lilly's AADS, Xi has held principal research and senior quantitative roles across healthcare-focused organizations including Autonomize AI, Verana Health, and UF Health. He holds a PhD and master's from the University of Florida and brings strengths in applied machine learning, scalable experimentation, and healthcare data management. Equally at home with Python and Scala, he blends pragmatic engineering with a researcher’s curiosity—evident in his academic publications and cross-disciplinary career path. Based in Orlando, Xi is focused on moving generative models from prototype to regulated, impact-driven deployments in life sciences.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Nankai University
Master's degree, Master's degree at University of Florida
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Xi Yang - Advisor-GenAI AADS at Eli Lilly and Company