The team

Matthew is a Stanford CS BS/MS candidate specializing in artificial intelligence and theoretical computer science, advised by Ellen Vitercik. He graduated his undergraduate program with distinction and was valedictorian of Patriot High School. At the Stanford AI Laboratory, he researched large-scale data filtration and cybersecurity mid-training for language models in the Language, Data, and Reasoning group under Drs. Amin Saberi and Amin Karbasi, and as an AI Researcher at Stanford Medicine he built computer vision systems for strabismus classification. Through the Stanford Impact Founder Fellowship, he built AI infrastructure for Medicaid and behavioral health at the Stanford Graduate School of Business. He developed AI strategy at Synchrony’s Business Leadership Accelerator, served as a Product Engineer at Lasso, and worked in generative AI at growth equity firm Adams Street Partners, mentored by partners Fred Wang and Ali Cliff. He is an STVP XFund Ethics Fellow, a Stanford Summer Fellow, and an ACM member, and helped direct a major Stanford undergraduate research conference with the Stanford Undergraduate Research Association. He built Feynman, a free AI learning platform that rebuilds university-level coursework as a five-rung Learning Ladder for first-generation and low-income students, now rolling out as a Truth Computing mission project. He started Truth Computing to build AI that helps humanity reason more clearly, make better decisions, and close the gap between what is true and what people believe to be true.

His technical range is deliberately broad, because technology transformation demands it. He works across deep learning and applied AI, reinforcement learning, algorithms and the theory of computation, computer and distributed systems, and quantum computing, with human computer interaction and product design learned the hard way, building real products in industry rather than in a classroom. The engineering range sits on the full Stanford CS core and the depth of its AI curriculum: the mathematical foundations of computing and the design and analysis of algorithms (CS103, CS161); programming methodology and abstractions (CS106A, CS106B); computer organization, systems, and distributed systems (CS107, CS111, CS244C); the artificial intelligence sequence end to end, from AI principles and deep learning to natural language, computer vision, decision making under uncertainty, and building language models from scratch (CS221, CS230, CS124, CS131, CS238, CS336); and quantum computing with the physics behind it (CS80E, Physics 14N).

Mark is a UCLA graduate and independent journalist and filmmaker whose work has reached a wide public audience across platforms. As Chief Media Officer for a California congressional campaign, he owned messaging and paid distribution strategy across the campaign. He has produced media content for public sector and political clients, led founding go to market for multiple startups, and built full stack media operations from the ground up. He supervised and trained staff at a major UPS facility, handled B2B sales across industries at Uline, and served as Chief Videographer for Clean Power Alliance, a community energy organization diversifying the power supply across California cities. As Chief Product Officer at Truth Computing, he owns the go to market function and the product roadmap, translates business opportunities into technical requirements for the team, and leads the data analytics and infrastructure that make the product better over time.

Kevin Tseng is a UCLA Economics graduate and finance professional with experience across real estate investing, investment banking, and startup operations. A friend and collaborator of Mark’s since their freshman year at UCLA in 2019, Kevin brings a data driven approach to capital allocation, strategic planning, and growth.

As a Portfolio Manager at STORE Capital, he works on acquisitions, dispositions, and underwriting within STORE Capital's large net-lease real estate portfolio, supporting investment decisions through rigorous financial analysis. Previously, he worked in investment banking, advising aerospace, defense, and government services companies on M&A and capital raising transactions.

At Truth Computing, Kevin leads finance and operations, drawing on his investing and transaction experience to drive financial planning, operational execution, and long term growth. He specializes in turning complex financial and operational data into actionable business decisions.

John has spent his life investing in young people. He co-founded MAP Elite Fitness & Leadership Academy and has given more than fifteen years to the City of Montclair’s after-school program, where he is now Senior Learning Coordinator and helps kids build confidence, discipline, and a love of learning. He has taught across the Ontario-Montclair School District as a substitute, and he spent five years as a Cadet Programs Officer with the Civil Air Patrol, earning the Brig. Gen. Charles E. Yeager Award and the Gen. Benjamin O. Davis, Jr. Award for the way he showed up for his cadets. He is a University of Southern California alumnus, where he studied Political Science.

Away from the classroom, John is a lifelong sports fan. He is a proud shareholder of the Green Bay Packers and the Atlanta Braves, and he still follows USC baseball and golf and stays close to the Trojan community that shaped him. He has mentored our team for years, and the patience, encouragement, and high standards he brings to everyone around him are a big part of who we are trying to be.

Nathan is a Cal Poly Pomona Kinesiology graduate, a degree rooted in the science of human movement: anatomy, physiology, biomechanics, motor control, and neuromuscular function, the study of how the brain and nervous system coordinate muscle activity to produce movement. As a Research Assistant in the Motor Neuroscience Lab at Cal Poly Pomona, he published work on how full body muscle contractions influence glucose regulation in sedentary and active people, and he contributed to studies on post sitting mobility that used EMG and motion capture to analyze how the body moves, adapts, and breaks down. Alongside his research, he works as a Physical Therapy Aide at Empower PT & Wellness, supporting patient recovery in an active clinical setting and seeing firsthand the friction points that slow practitioners down.

What sets Nathan apart is a field first approach to AI. Rather than designing solutions from the outside, he goes directly into hospitals and clinics to understand the real problems clinicians face every day. He believes that AI built with genuine clinical empathy will always outperform AI built without it, and his goal is to be the person who bridges that gap, someone who understands both the technology and the room it is walking into.

From a young age, Johnathan has had an interest in two things: computers and business. In fifth grade he wrote his first line of code on Scratch, and though it was simple, it became the foundation for everything that followed. In eighth grade he joined his middle school coding competition team and led it to a CodeMonkey CodeRush National Championship in 2019. That same year he started his own business specializing in rare sneakers, and over three years he amassed more than $35k in profits, all while balancing a full school and athletic workload.

Johnathan studies Computer Science at California Baptist University, with a focus on machine learning and AI. He is Director of AI Research at Truth Computing, where he works on the methods that let the engine show its evidence.

Raul leads education at Truth Computing and heads Truth Academy, our planned tuition-free school. He is an educator by calling, and his job is to make sure the classroom we build is one we would put our own kids in.

Truth Academy is in early planning. It is not yet open, no staff have been hired, and it is not yet funded. The plan is simple and deliberately hard to pull off: free of charge to every student, taught by Stanford graduates paid well above scale, with Matthew teaching at least one day a week. We will say more as it becomes real.

Stan is a retired NCAA Division I head basketball coach and athletic director with more than five decades in collegiate athletics leadership. A center on California’s 1959 NCAA Championship team, he went on to lead the University of the Pacific, the University of Southern California, where he was named Pac-10 Coach of the Year in 1985, and San Jose State, becoming the only coach in NCAA history to take three different teams in the same state to the NCAA Tournament. As an athletic director he oversaw a 21-sport program at UC Santa Barbara and led UC Riverside’s transition from Division II to Division I. He is a recipient of the Pete Newell Career Achievement Award and a 2018 inductee of the California Sports Hall of Fame, and earned his B.A. from UC Berkeley and an M.A. from Sacramento State. He advises Truth Computing on leadership, team building, and the discipline of building institutions that last.