Our Team

Wendy is a technology and energy policy researcher dedicated to empowering communities for the era of human-AI collaboration. As President of ONE-AGI, she champions a forward-thinking community focused on three core pillars: mastering the ability to learn, fostering independent problem-solving, and preserving deep human connection in a tech-driven world.

As a Master's candidate in Global Security Studies (Energy & Environmental Security) at Johns Hopkins University, Wendy bridges her visionary community work with rigorous policy research. Drawing on her roles at the Cato Institute and ALEC, she tackles the practical challenges of the AI era, from labor shifts to AGI's intense energy demands, striving to shape a future that is secure, sustainable, and fundamentally human-centric.

Evan is a climate physicist, parallel modelist and practitioner who brings a dual lens — simulation science and economics — to the question of how AI will reshape our world. He has a firsthand understanding of how wide the sim-to-real gap can be and thus he is convinced that the next frontier of progress demands AI.

Yet with a double degree in Economics from Peking University, Evan also sees the risks clearly. A poorly governed AGI would find countless ways to reshape wealth and power structures far faster than institutions can respond. A handful of foundational decisions humanity makes about AI in the coming years will determine whether its benefits vastly outweigh its harms — and he is cautiously optimistic. In an AGI era, it is the willingness to reach out, to relate, and to show up for each other that will distinguish us from AI. Preparing more people for that future is exactly why ONE-AGI exists — and why Evan is committed to building it.

Freshman undergraduate at UC Berkeley. Major: Cognitive Science.

I’m interested in how intelligent systems make decisions, from neural circuits in the brain to artificial intelligence models. My work explores the intersection of neuroscience, computational modeling, and AI, with a focus on how evidence, uncertainty, and learning shape decision-making. I’m also passionate about applying technology and interdisciplinary thinking to address real-world challenges in health and society.

ChemE + ECE at UC Berkeley, Freshman.

Jiacheng is passionate about machine learning and artificial intelligence, with interests at the intersection of software and hardware. His work focuses on optimizing large language models to improve human productivity, and he enjoys building practical systems through full-stack development. He is also interested in semiconductors and robotics, exploring how intelligent software and physical systems can work together to create real-world impact.

Bio coming soon...

Freshman, UC Berkeley, Molecular and Cell Biology.

Zoey Zhan is interested in the development of Artificial General Intelligence (AGI) and the broader questions it raises about society and human knowledge. She enjoys exploring the intersection between AGI and philosophy, especially questions about consciousness, intelligence, and what it means to think and learn. Zoey is also curious about how AGI might reshape education in the future—how learning could become more personalized, accessible, and creative with the help of advanced AI systems. Through these interests, she hopes to better understand how technology and human values can evolve together.

Freshman, UC Berkeley, Economic (Psychology).

Yinni is interested in how market forces interact with new technologies, especially artificial intelligence. She is wanting to work on how AI is becoming a driving force in the global economy and how technology is becoming part of decision-making. She believes understanding how humans interact with technology will be a big topic for the future of economic growth.

Bio coming soon...

Junior @ UC San Diego, Psychology & Cognitive Science.

Sara is interested in the intersection of human cognition, child development, and artificial intelligence. Her work explores how learning and reasoning emerge in humans and how insights from cognitive development might inform the design of AI systems. She has participated in developmental psychology research on early autism detection and caregiver-reported developmental patterns, and she is also involved in projects related to AI evaluation and video reasoning benchmarks.

She is particularly interested in how principles of human learning, such as exploration, reasoning, and mental model building, can contribute to the development of safer and more human-aligned AI. Sara is also curious about the role of educational technology in the AI era and how AI-assisted tools can support more effective learning. Through ONE-AGI, she hopes to contribute to interdisciplinary conversations about the future relationship between human intelligence, education, and artificial intelligence.