Khai Minh Pham

Founder & CEO at ThinkingNodeLife.ai

Speaker

Combining Medicine (MD) and AI (PhD) at Sorbonne University, Dr. Khai Minh Pham is an innovative entrepreneur and a leading expert in Distributed Agent Reasoning AI. He has been in the field of AI for 30 years and is the founder of the Macro-connectionist Agent Reasoning System (MARS) a unified Neuro-Symbolic AI approach that differs from Connectionism (regular Artificial Neural Networks) by considering assemblies of neurons (Agents) rather than a single neuron.

The first generation of MARS has been used in his first AI company with clients such as Amex, Chase Manhattan, Fidelity, Bank of America..., and it has been acquired by E.piphany (Nasdaq:EPNY) for US$637 Million.

The second generation of MARS has been utilized in ThinkingNode Life Science (TLS), his second AI company, to develop the first Large Reasoning Model (LRM) to generate the most advanced human digital cell clones for drug R&D. These digital cell clones are used to predict and understand cellular behavior and responses to target knockdowns before preclinical testing, as well as to drugs during each phase of clinical trials. This significantly de-risks the entire drug R&D process. Currently, bringing a new drug to market costs an average of $2.6 billion, takes 10-12 years, and has only a 4% success rate.

Dr. Pham was also a founding advisory board member of Kwaai, a non-profit AI Research and Development Lab for Personal AI.

In 2024: Keynote at AIDBio @ BIO 2024, Kwaai Summit, and AIDBio Labs @ JPM, SCaLE 21x (largest open source in N. America) – Talk at Evolve2024, StartupWeek San Diego, The Future of AI & Ventures at Microsoft Silicon Valley Headquarter – Lecture at a Master Program in Clinical Research at Dresden International University. In 2023: Keynote at Kwaai Personal AI Summit, at AI Digital Biology Day – AIDBio 2023, and at a Master Program in Clinical Research at Dresden International University, and as speaker at Bio Investor Forum, twice at CTO Talks Series, and IEEE CAI 2023, IEEE Webinar Series: AI in Healthcare, and IEEE AI IT Symposium.

M.D. and Ph.D. in AI (Magna Cum Laude at Sorbonne University Paris). He has published several scientific papers, received international grants, taught AI at LISH-CNRS, received an entrepreneur award from BP, and was EIR/Mentor at CONNECT.