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David Thomas
Stanford Computational Mathematics Ph.D. Candidate - Researcher and Software Engineer
David Thomas is a highly educated individual with a background in Mathematics and Computer Science.
He holds a BS in Mathematics and Computer Science from the prestigious Massachusetts Institute of Technology (MIT) and a PhD in Computational & Mathematical Engineering from Stanford University.
David has gained valuable work experience in various reputable organizations, showcasing his diverse skill set.
He has served as a Graduate Research Assistant at the Kavli Institute for Particle Astrophysics and Cosmology, demonstrating a keen interest in research.
David has also interned at prominent companies such as Citadel, Twitter, Morgan Stanley, and Shopify, where he worked on quantitative research, software engineering, credit strategy, and development.
His role as a Quantitative Researcher at Teza Technologies highlights his expertise in quantitative analysis and research.
Having been an Engineering Fellow at Kleiner Perkins Caufield & Byers, David has also delved into the entrepreneurial and investment side of technology.
Overall, David Thomas has a strong academic foundation coupled with extensive practical experience across various domains in the tech and finance sectors.