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Ronjon Nag

Ronjon Nag

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Advisor, Stanford Lifestyle Medicine Group @ Stanford University Founder R42 | Inventor | Adjunct Prof. Stanford Medicine
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Education

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Stanford University

DIstinguished Careers Institute Interdisciplinary Fellow, Center for the Study of Language and Information 2015-01-01 - 2018-01-01
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MIT Sloan School of Management

S.M, Management Science 1989-01-01 - 1991-01-01
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Stanford University

Harkness Fellow, Department of Psychology 1991-01-01 - 1992-01-01
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University of Cambridge

PhD, Engineering 1984-01-01 - 1988-01-01
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University of Birmingham

B.Sc. (1st class Hons), Electronic and Electrical Engineering 1981-01-01 - 1984-01-01
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Stanford University School of Medicine

Adjunct Professor, AI , Genes, Ethics, Longevity Science and Venture Capital 2022-08-01 -

Work Experience

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Stanford University

Current

Stanford University

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capAI Ltd

Current

capAI Ltd

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R42 Group

Current

R42 Group

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Ikshana Therapeutics Inc.

Current

Ikshana Therapeutics Inc.

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MIT Alumni Angels of Northern California & MIT Club of Northern California

Current

MIT Alumni Angels of Northern California & MIT Club of Northern California

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University of California, Berkeley

Current

University of California, Berkeley

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Superbio.ai

Current

Superbio.ai

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AGEMICA

Current

AGEMICA

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Ecrio

Current

Ecrio

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GTCardio

Current

GTCardio

Skills

Artificial Intelligence (AI) Mobile Technology Start-ups Mobile Applications Strategy Global Business Development Entrepreneurship Product Marketing Go-to-market Strategy Telecommunications VAS Cloud Computing Mobile Payments Business Strategy Data Mining Mobile Marketing Wireless Technologies User Experience Venture Capital Analytics

Summary

Dr. Ronjon Nag is a renowned inventor, entrepreneur, and educator, with over 40 years of experience in developing AI technologies for smartphones, neural networks, and biotechnology. He is the Founder and President of R42 Group, a family office and venture group that invests primarily in AI, biotechnology, and science, and supports pre-seed stage companies in their growth journey. He is also an Adjunct Professor in Genetics in the Stanford School of Medicine and a Visiting Fellow at the Stanford Center for Language and Information (CSLI), where he teaches popular courses on AI, Genes, Ethics, Longevity Science, and Venture Capital. He is a Fellow and Trustee of the Institution of Engineering and Technology (IET) and a Lifetime Member of the ACM. He has won multiple prestigious awards, including the IET Mountbatten Medal, the $1m Verizon Powerful Answers Award, the COGX AI Lifetime Achievement Award, the MIT Great Dome Award and is the 2024 Silicon Valley Engineering Council Hall of Fame Inductee. He is a founder, advisor, board member, and part owner of some 100 AI and Biotech start-ups, and has sold his companies to Apple, BlackBerry, and Motorola. He is passionate about inventing, informing, and investing in the future of humanity. He has a BSc (Birmingham), an MS (MIT), and a PhD (Cambridge). He has accomplished many firsts: • First laptop with speech recognition built-in (UK: Apricot Computers, 1984) • First selling cursive handwriting recognition system (with Lexicus, 1992) • First Chinese speech recognition dictation system (Lexicus/Motorola, 1996) • First speech recognition phones (Lexicus/Motorola, 1995) • First Chinese predictive text system on a phone (Lexicus/Motorola, 1997) • First predictive text systems in large volume (40 languages) on phones (Lexicus/Motorola, 1997) • First touch screen phone with apps, HTML browser, speech & handwriting recognition (Lexicus/Motorola, 1999) • First combined mobile app store and search engine (with Cellmania, 2000-2010) • First operator billable BlackBerry App Store (2011) • First Neural Network Artificial Intelligence System in the Cloud (Ersatz Labs, 2014) • First Wireless Throwable Camera (Bounce Imaging, 2015) • First Android powered smarthome lightswitch (Brightswitch, 2017) • First continuous blood pressure wearable (GT Cardio 2019) • First holographic phone call (R42 – Vivid-Q 2021) • First AutoML AI platform for biologists requiring no code (Superbio.ai 2021) • Proposed the first vaccine for aging developed using AI (Agemica.ai 2023)

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