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Experiential AI Institute & College of Engineering, Northeastern University, Seattle, United States
Title:Maximizing Healthy Longevity with AI – Drugs, Clocks and Digital Twins
In the era of rapidly evolving Artificial Intelligence, we look at its transformative potential on extending healthy human lifespan. We explore AI driven drug discovery to target core aging mechanisms, machine learned biological clocks that track true physiological age, and virtual “digital twins” that simulate individual biology for personalized prevention and treatment. Together, these innovations accelerate therapy development, enable dynamic monitoring, and empower in silico “what if” testing—paving the way to not just longer lives, but healthier ones.
Dr. Ramkumar Hariharan builds Artificial Intelligence powered computational solutions for healthy longevity and teaches a top-rated generative AI course at Northeastern University. Formerly Head of Applied AI at Pendulum Systems, Inc (previously Macroeyes, Inc) and Principal Data Scientist at Fred Hutchinson Cancer Research Center, Seattle he leverages generative AI, multi omics integration, and whole cell and single cell simulations to unravel the mechanisms of cellular aging. His stints at RIKEN (Japan), Oxford University (UK), at the University of Washington, Seattle, and as Visiting Scientist at the Buck Institute informs large scale computational modelling. An avid science communicator, Ramkumar shares evidence based insights on longevity with both research and public audiences.