3x founder
Matt Günhan Ertosun, PhD
3x Founder | a16z speedrun alumni | Stanford Eng. PhD | Former Venture Builder @ $2.5B VC | AI & Generative AI | Scientist | Inventor | Author | Meditation Enthusiast
Personalized AI audio. Harvard CS, Stanford AI PhD, ex-Amazon Podcasts founding engineer.
Experience
Career
2026Stealth AI Startup
Co-founderCEO & Co-founder · Menlo Park, California, United States · 2026 – Present
2025SUN (a16z SR006)
Co-founderCo-founder & Chief Science Officer · San Francisco Bay Area · 2025 – 2026
2023Sky9 Capital
Engineering Leader · 2023 – 2025
- 2022
Startup Incubation
Chief Artificial Intelligence & Innovation Officer · 2022 – 2023
2019ZONARE Medical Systems, Inc.
Principal Scientist - Data Science & Artificial Intelligence · 2019 – 2022
2017Vave Health
Director of Data Science & Artificial Intelligence · Bay Area, CA · 2017 – 2019
- 2016
Rad Support
Co-founderCo-Founder / CTO · Mountain View, CA · 2016 – 2017
2014Stanford University School of Medicine
Stanford Cancer Imaging (SCIT) Fellow · Stanford, CA · 2014 – 2016
- 2012
The Molecular Imaging Program at Stanford (MIPS) -- Stanford University - School of Medicine
Postdoctoral Research Fellow · 2012 – 2014
2010Rambus
Senior Member of Technical Staff - Research Engineer · San Francisco Bay Area · 2010 – 2012
2004Stanford University
Research Assistant · Stanford, CA · 2004 – 2010
- 2009
SEMATECH
Intern & Visiting Research Student · Austin, Texas Area · 2009
- 2009
Stanford University - Dep. of Management Science & Engineering
Researcher · 2009
- 2008
Evnine & Associates and Stanford MS&E
Researcher · 2008
2002Bilkent University
Undergraduate Research Student · 2002 – 2004
Bio
2x Founder | Co-founder @ SUN (a16z Speedrun SR006) | Stanford Eng. PhD | Former Venture Builder @ $2.5B VC | AI & Generative AI | Scientist | Inventor | Author | Meditation Enthusiast Entrepreneur, AI technologist, and Stanford-trained scientist (more than 400 scientific citations and multiple patents) working at the intersection of artificial intelligence, startups, and product innovation. Previously worked as a venture builder at a $2.5B venture capital fund, where I helped incubate and prototype multiple AI and frontier-technology startups: leading technical development from idea → prototype → MVP. Earlier in my career I led AI and data science initiatives in finance, healthcare and medical imaging, building AI & machine learning systems for next-generation technologies. My technical work spans: • Generative AI (LLMs, diffusion models, multimodal systems) • Machine learning, deep learning & data science • AI product development & startup incubation • Medical imaging and healthcare AI • Advanced modeling, simulation, and statistical learning Prior roles include Principal Scientist (AI/Data Science) at medical imaging companies and founding an AI healthcare startup applying deep learning to radiology. I received my PhD in Electrical Engineering from Stanford University, where my research focused on advanced device physics, modeling, and emerging technologies. My postdoc at Stanford School of Medicine involved applications of machine learning, AI and data science to medical domain. Later, I was a research fellow at Stanford School of Medicine at Stanford Cancer Imaging Training (SCIT) Program, supported by the National Cancer Institute, with my research focussed on applications of deep learning to medical imaging. Fun fact: I had published three papers at international prestigious journals while I was still an undergraduate student. I am also an author and researcher interested in the intersection of technology, philosophy, and human knowledge.