Former Research Scientist at Google DeepMind, where he worked on advancing the research, development, and real-world deployment of cutting-edge AI systems. His work at Google spanned neural machine translation, state-of-the-art dialogue and multimodal models, and emerging approaches to agentic reasoning, contributing to major efforts across the Gemini model family and their integration into production products such as Google AI Mode. He holds a strong conviction that open-ended knowledge creation is the defining capability required for higher-order machine intelligence, and is dedicated to advancing this frontier - from theoretical foundations to practical, scalable systems - to accelerate scientific discovery and amplify human research capabilities.

Markus J. Buehler is the McAfee Professor of Engineering at MIT and a pioneer in physics-aware artificial intelligence for scientific discovery. His work establishes quantitative links between molecular structure and emergent function across materials and biological systems, integrating first-principles simulation, graph-based modeling, and machine learning. He has advanced graph-native and agent-based frameworks that enable AI systems to reason across scales, compose models, and generate testable hypotheses. His research has led to foundational contributions in bio-inspired materials, multiscale mechanics, and AI-driven design, with broad impact across academia, industry, and government. Buehler is a member of the U.S. National Academy of Engineering, and has received major international honors including the Feynman Prize and the Washington Award. His work bridges science, engineering, and art, reflecting a sustained focus on generative systems that expand the boundaries of discovery.

In his former roles as a Senior Director, Strategic Solutions at C3 AI and a Senior Scientist at SSI, Andrew has both shaped the high-level application of generative AI for Fortune 500 biotech clients and led the deep-level hands-on implementation of AI systems for accelerating government research. During his PhD at MIT, he united AI models, physics-based simulation, and real-world experimentation to close the loop on designing novel material structures with bespoke properties. He is passionate about bridging domains and perspectives to tackle previously impossible problems and driven to harness AI-augmented workflows for expanding human potential.

Member of Technical Staff. Haiqian is a soft-matter physicist developing physics-grounded AI for biological, material, and other complex systems. He received his PhD in 2026 from MIT, where he studied biological self-assembly using machine learning, continuum mechanics, and optical imaging, and published work at the interface of physics, biology, and computation in journals including Nature Methods, Nature Physics, PRX Life, and PNAS. His work is guided by the view that embedding physical structure into learning is essential for building interpretable and robust models for complex systems.

Matt is an experienced software engineer and leader with over 20 years of experience building and scaling products and platforms at companies including Airbnb and Dropbox. He has led engineering teams at multiple companies, specializing in data infrastructure, developer tooling, and full-stack product development. A YC founder and former startup CTO, Matt brings deep expertise in turning complex technical systems into polished, production-ready products. He holds a B.S. in Computer Science from the University of Maryland.

With over a decade of experience building scalable product systems across healthcare, fintech and biotech, Jenn works at the intersection of design, product and AI to translate complex technical concepts into clear, production-ready experiences. Her work emphasizes systems thinking, rapid iteration, and close collaboration with engineering and research teams to ship high-quality products. She is driven by making advanced technology practical, usable, and impactful.

Julia is an experienced People Operations leader who is passionate about building people centered organizations where employees feel supported and set up for success. She brings expertise across the full employee lifecycle, including benefits strategy, HRIS implementation, onboarding, and scalable people programs. With experience across multiple industries, Julia partners closely with leadership teams to support growth and change while fostering strong, values driven cultures. She is known for blending structure with empathy and using data informed decisions to create environments where people can do their best work.