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Combining Medicine (MD) and Artificial Intelligence (PhD), Dr. Khai Pham has been in the field of AI for 30 years. Few have tried to work on unifying AI approaches across the different systems, including Machine Learning, Reasoning AI, and Distributed Multi-Agent AI. He is a leading expert in Distributed AI and focuses today on developing the next-gen Generative Distributed Reasoning AI (GDR-AI). Applied to drug R&D, GDR-AI generates the most sophisticated Digital Human Cell Clones based on gene expression data allowing Human Cell Safety/Efficacy Simulations before any preclinical testing.
Dr. Pham is also a founding board member of KWAAI.ai, a non-profit AI Research and Development Lab Democratizing AI. He mainly contributes to the AI Fundamentals. He was the founder & CEO of DataMind, a leading AI company in the Silicon Valley based on the first generation of his Distributed AI. Later renamed RightPoint, it was acquired by E.piphany (Nasdaq:EPNY) for US$637 Million.
M.D. and Ph.D. in AI (Magna Cum Laude at Sorbonne University Paris). Dr. Pham has published several scientific papers, received international grants, taught AI at LISH-CNRS, received an entrepreneur award from BP, was EIR/Mentor at CONNECT, talked as keynote in conferences and guest lecturer for Master Program.
A Healthcare and AI entrepreneur, investor, and advisor having helped raise over $100M in funding and founded multiple startups looking to change society to help us all live a better life both today and tomorrow. Ash is a technologist and data scientist deeply rooted in the application of big data to health and its intersection with design, and has worked with organizations in the United States, China, UK, Canada, Australia, France, Germany, India and Japan. He has worked with leading venture capital firms such as Sandbox Industries, Intel Capital, Khosla Ventures, Oak HC/FT, and many others to help realize a better tomorrow.
Ash has founded multiple companies including WithMe Health, excelera.health, Lumiata, and DeepAffects. He is an active investor and advisor to both healthcare and AI companies: CareLoop, LoopHealth, PeerWell, MyoKardia, Ellipsis Health, NuBiome and ExtraaEdge. Beyond, he is also active speaker at conferences such as Health Datapalooza, Health 2.0, AMA, MIT AI, Nvidia GTC and others.
Before focusing on healthcare, over the last 25 years, he has researched, built and applied AI technologies with leading institutions and organizations, including the UCLA AI and Robotics Lab, MIT’s AI Lab, the MIT Media Lab, the US Navy and NASA. Ash graduated from Massachusetts Institute of Technology (MIT) in both Computer Science and Mathematics, has published numerous papers, and has received patents in real-time unstructured semantic analysis.
Stefano is an internationally recognized research scientist with 25 years of experience developing computational models of intelligence and sociocultural processes. He is passionate about solving complex problems by leveraging his diverse skills: advanced mathematics, cognitive science, machine learning, software development, and data science. Stefano has over 70 scientific publications in top-tier venues, cited over 5,600 times and including two books for Princeton University Press applying AI, neural networks, and stochastic processes to understanding intelligence. He has managed projects with budgets up to $2.5 MM and 20 employees.
Appointments: 2017: Guest Professor, Center for the Cultural Evolution, Stockholm University. 2012–2023: Tenured Full Professor, Department of Psychology, Brooklyn College. 2012–2023: Doctoral Faculty in Psychology and Biology, CUNY Graduate Center. 2010–2012: Carol L. Zicklin Visiting Full Professor of Interdisciplinary Studies, Brooklyn College. 2004–2012: Tenured Assistant Professor, Department of Psychology, University of Bologna.
Pankaj Kedia is a tech intrapreneur and inventor turned AI investor, entrepreneur, advisor, and thought-leader.
As a tech intrapreneur, Pankaj played leadership roles in founding, incubating and growing a series of new businesses at Intel and Qualcomm over the last 3 decades. He is credited for driving the growth of the Internet with laptop PCs, establishing mobile Internet with smartphones, and capitalizing on cloud expansion with IOT and wearable devices. Having lived through these technology revolutions – Internet, Mobile, and Cloud – Pankaj is now shaping and accelerating AI explosion as an investor, entrepreneur, educator, advisor, and thought-leader. As a renowned global tech executive, Pankaj is bringing the benefits of AI to society-at-large and is focused at the intersection of AI and high-growth verticals such as healthcare, wellness, industrials, consumer, finance, and energy.
As the Founder and Managing Partner of 2468 Ventures, he has directly invested in 125+ early-stage and Series A startups, is a partner at multiple VC firms and angel groups where he chairs the AI committees, teaches AI to MBA students at the University of San Diego Knauss School of Business, sits on multiple public, private, and non-profit boards of AI companies, and is a sought-after CXO advisor around AI and technology topics. He is a lifelong learner with degrees from Univ of Michigan, Wharton, and Stanford. Pankaj lives in La Jolla and is committed to growing AI in the San Diego region.
Reza Rassool is a transformative CTO.
Reza was newly appointed CTO of Businesswire, a Berkshire Hathaway Company.
Previously, he guided the technology strategy that pivoted RealNetworks from its streaming media roots to becoming a leader in AI.
His pioneering innovations range from digital movie editing systems that earned Technical Oscar and Emmy awards, the world first VoD server, to cochlear implants and bionic eyes.
His serial start-up career include two exits to Google.
Reza gained a B.Sc. in Physics from King's College London, has numerous patents, several papers published and remains a significant code contributor.
He is a husband and father of four boys who loves to cook, write, and paint.
Reza is the founder of Kwaai, a developer community democratizing AI.
Learn more at kwaai.ai
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