The minds behind Engram
We're a founding team from Imperial College, Harvard, MIT, and NYU — building the infrastructure layer that aligns AI reasoning with human judgment. We believe the next wave of AI won't be bigger models. It will be reasoning infrastructure.
Zihan Liu
CEO & Co-FounderImperial College London
Zihan leads Engram's strategy, business development, and investor relations. Before founding Engram, he worked in strategy consulting at Kearney and investment analysis at V-Capital, where he developed deep expertise in financial analysis and quantitative research. He studied Physics at Imperial College London, bringing rigorous analytical thinking to how Engram approaches the market. He believes the center of entrepreneurship is shifting from producing products to producing consensus — and that cognitive alignment is the infrastructure that makes that possible.
LinkedInYuhan Wang
CTO & Co-FounderImperial College London · MIT
Yuhan leads Engram's technical architecture and engineering. He holds a MEng in Mathematics and Computer Science from Imperial College London and was a visiting researcher at the MIT Media Lab, where he co-authored research on 4D perception and dynamic scene understanding. Previously an AI engineer at Millennium, he brings production-grade systems experience to Engram's cognitive alignment engine. He is driven by the conviction that the best interface between human and machine cognition is one that neither side notices.
LinkedInGrace Chen
Co-FounderHarvard · NYU
Grace brings a cross-disciplinary perspective to Engram, combining computer science, mathematics, and data science. She studied CS and Mathematics at NYU and is pursuing a Master's in Data Science at Harvard. As a researcher at the MIT Media Lab, she collaborated on computer vision and AI perception systems. At Engram, she focuses on product design, research, and translating complex cognitive alignment concepts into usable experiences.
LinkedInDaiyang Chen
Co-FounderImperial College London
Daiyang studies Mathematics at Imperial College London and brings analytical depth to Engram's research and engineering efforts. Prior to Engram, he worked as a research intern at the World Resources Institute (WRI) China, applying quantitative methods to real-world policy and sustainability challenges. At Engram, he contributes to the technical foundation of the cognitive alignment system, bridging mathematical formalism with practical AI infrastructure.
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