Summary
Srikesh Arunajadai is an enterprise Data & AI executive and Adjunct Assistant Professor of Biostatistics based in New York, combining 17+ years of scientific and product leadership with hands-on delivery across biopharma, healthcare, and AI-first startups. He advises and builds regulated evidence-generation platforms (RWE, NLP/LLMs, trial simulation, translational analytics) and shapes enterprise AI roadmaps, governance, and build-vs-buy decisions while de-risking early implementations through selective hands-on leadership. Former data science leader roles at Cerner and COTA show a track record of turning EHR, claims, and survey data into revenue-driving products and regulatory-grade evidence, while at Columbia he translated methods into public-health impact and Science-published research. He blends academic rigor (PhD-level biostatistics) with product and MLOps/LLMOps pragmatism, standardizing reproducible analytics and compliance for GxP/21 CFR contexts. Notably, he sustains dual executive and academic careers, mentoring graduate students even while advising boards and founders on commercialization of advanced analytics.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biostatistics, Doctor of Philosophy (Ph.D.) Biostatistics at University of California, Berkeley
Master of Science (M.S.) Mechanical Engineering, Master of Science (M.S.) Mechanical Engineering at Missouri University of Science and Technology