Accelerating New Materials with AI w/ Dolby Family Ventures and Gigascale Capital
Join Evaline Tsai, Ph.D. from Gigascale Capital and Usua Amanam, Ph.D. from Dolby Family Ventures for a panel discussion and networking about the opportunities and challenges of developing new materials with AI.
We'll hear from longtime builders with hard-won learnings and newcomers with fresh eyes.
Schedule:
5:00-5:30pm - Arrivals & Networking
5:30-6:30pm - Panel Discussion
6:30pm-7:30pm - Reception w/ light bites
Panelists include:
Greg Mulholland, CEO and Founder, Citrine Informatics
Dr. Daniel Ratner, Head of Machine Learning at SLAC National Accelerator Laboratory
Dr. Kathleen Jurman, Technology Scout and New Business Development, Dow
Dr. Austin Sendek, CEO and Co-Founder, Aionics
We look forward to seeing you soon!
More Information About Your Panelists:
Greg Mulholland is a co-founder and CEO of Citrine Informatics. Citrine, founded in 2013, is the leading AI SaaS solution for materials and chemicals, with customers including Syensqo. Greg is an internationally recognized materials technology leader and has been invited to speak at global conferences across six continents, chaired a session entitled “Big Data and AI for Materials Efficiency” at the 2018 World Materials Forum, was named a World Economic Forum Technology Pioneer 2017, a member of the World Economic Forum Future of Production Working Group, and was named to the Forbes 30 Under 30 list in 2015. He holds an MBA from the Stanford Graduate School of Business, an MPhil in Materials Science from Cambridge University, and Bachelors of Science in Electrical and Computer Engineering from NC State University where he was a Park Scholar.
Daniel Ratner is Head of AI at SLAC National Accelerator Laboratory. He earned his PhD in accelerator physics at Stanford and SLAC National Accelerator Laboratory, working on commissioning of the world’s first X-ray laser and proposing the steady-state microbunching EUV source for lithography and new method for hadron cooling at the electron-ion collider. In 2015 he founded SLAC’s program in machine learning for particle accelerators, and since 2019 he has organized SLAC’s AI lab-wide activities. Before arriving at Stanford he worked at NYC’s MoMA using x-ray and optical methods to support art conservation.
Dr. Kathleen Jurman is a Corporate Technology Scout with Dow’s Ventures and New Business Development Group, based in the San Francisco Bay area. She identifies external IP advantaged, innovation opportunities that accelerate Dow’s business growth through external partnerships and development, licensing, and venture capital investment. Kathleen has 31 years of industry experience in a variety of R&D, manufacturing and business operations improvement roles. She holds degrees in Chemical Engineering, B.ChE. (University of Delaware) and M.S. & Ph.D. (Purdue), as well as M.B.A. from NYU Stern.
Austin Sendek is the Cofounder and CEO of Aionics, Inc. and Adjunct Professor of Materials Science & Engineering at Stanford University. He has spent the last 12 years working at the intersection of AI and material design as an entrepreneur, researcher, and educator. He is recognized for his early contributions to the field of AI-driven battery design, with his research publications being cited over 3000 times. Under his leadership at Aionics, the company has partnered with major companies including Porsche to commercialize high performance materials designed with AI and high-performance computing-based methods. Aionics was recently included in CB Insights' "AI 100" list of the 100 most promising private AI companies alongside Open AI and Databricks, and was recognized by Fast Company as a "World Changing Idea". He holds a B.S. in Applied Physics from UC Davis and a Ph.D. in Applied Physics from Stanford.