About Maximilian Unfried, Ph.D.
Maximilian is a PhD student from the Kennedy Lab at the National University of Singapore Centre for Healthy Longevity, where he uses methodologies from AI and Complexity Science to investigate the ageing process. He holds a BSc in Integrated Life Science and a MSc in Complex Adaptive Systems.
Prior to joining the Kennedy Lab, he spent a few years in the startup industry as a Machine Learning Engineer, developing AI systems in the medical, financial and agricultural sector. He is a passionate Data Scientist and has research and hands-on experience in Machine Learning and Deep Learning in the domains of Natural Language Processing and Computer Vision.
He likes to share his knowledge of Artificial Intelligence in form of talks, seminars and panel discussions. He has been involved as an advisor for multinational corporations, investors and politicians with matters on the future of Artificial Intelligence, Crypto and Longevity.
The research of Maximilian is on the intersection of Ageing Biology, Artificial Intelligence and Complexity Science. He uses Generative Deep Neural Networks to generate novel molecules with health and lifespan extending properties, with a focus on brain health. To understand ageing on a more fundamental level, he uses a computational systems approach to model the intricate complex dynamics with the aim to decipher molecular mechanisms that impact aging. Maximilian ambition is to develop commercialisable health extending molecules that allow the general population to have a longer and healthier life.
His personal goal is to live a healthy and joyfully to a 120 years.
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