I’m the Founding Principal ML Engineer at AminoChain, driving next-generation Agentic AI solutions to revolutionize how biospecimens are discovered, tracked, and utilized. By combining GenAI and data science within a decentralized healthcare marketplace, I’m helping to bring transparency, traceability, and efficiency to research institutions, biorepositories, and healthcare providers worldwide. I hold a PhD from the Tri-Institutional Program (Cornell, Rockefeller, and Memorial Sloan Kettering) and an MBA from NYU Stern. Previously at Johnson & Johnson, I developed AI models and Agentic solutions to uncover novel biomarkers for personalized medicine and accelerate discovery for clinical programs. I’ve also held Data Science roles at Memorial Sloan Kettering Cancer Center, Roivant Sciences, and worked in Trading at Société Générale. My background spans computational biology, drug discovery, e-commerce, and finance—complemented by a global outlook gained from living in six countries and fluency in four languages. Every day, I’m driven by the goal of harnessing AI to enhance patient outcomes, accelerate scientific discovery, and transform the future of healthcare.