Hear industry experts from NVIDIA, BCG and ElevateBio explore key challenges, opportunities and investment areas for data science and AI in life sciences, along with practical frameworks for successful implementation.
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Key challenges, opportunities and investment areas for data science and AI within life sciences
Frameworks for introducing and implementing AI and advanced data science in scientific R&D
Early lessons learned and pitfalls to avoid when developing AI strategies for life sciences companies and institutions
Amit is the CIO at ElevateBio, overseeing strategic operations in advancing drug discovery with AI and building cloud-based IT infrastructure. Prior to ElevateBio, Amit was a partner at an AI consulting firm and Head of Shared Services and India Country Head for Alexion Pharmaceuticals. Amit holds an MBA from Cornell University and a BTech from the Indian Institute of Technology BHU. He also serves as a strategic advisor to startups in EdTech, FinTech and MedTech.
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Dr. Aldridge, Form Bio's visionary Chief Strategy Officer, pioneers advanced pharmaceutical solutions to get life saving therapeutics to patients. She was recently selected one of Forbes’ 10 Women Leading the SynBio Revolution redefining the future of the pharmaceutical industry. Her distinguished career includes biotech venture investing, entrepreneurship, and translating scientific discovery into practical solutions. Dr. Aldridge holds a BS in Biomedical Science from Texas A&M University and a PhD in Immunology and Genetics from Duke University.
George is the Global Head of Genomics Alliances at NVIDIA and brings over a decade of experience in computational life sciences. He holds a PhD in Chemistry from the University of Georgia, an MBA from Portland State University, and a Bachelor's degree in Physics and Mathematics from the University of Wisconsin. With 30 peer-reviewed research publications and contributions to influential programs like Schrödinger's Jaguar, he's a recognized expert in his field.
Arun Ravindran is the Chief Data Scientist at BCG, specializing in AI and deep learning models. His recent focus spans travel, climate analytics, tech, and energy. Arun collaborates with clients in retail, banking, insurance, and healthcare, driving innovation in pricing, risk modeling, and fraud detection. Holding two deep learning patents and two pending patents, Arun also served as an adjunct faculty member at Northwestern University and was a principal data scientist at Accenture.
