Our Team

Founders and Strategic Advisors

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Ryan Hamerly

Co-founder

Research Scientist, MIT

Senior Scientist: NTT PHI lab

PhD, Stanford University

Bachelor: Caltech

Awards: Intelligence Community fellowship

Theory proposal and analysis for the OptiCore computing architecture, R. Hamerly, PRX 2019

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Zaijun Chen

Co-founder

Assistant Professor, EECS, UC Berkeley

Postdoc researcher, MIT

PhD, Max-Planck Institute-Quantum Optics,

Awards: 2023 DARPA NaPSAC, 2024 DARPA INSPIRED, Sony Faculty Research Award, 2023 SPIE AI/ML best paper Award, 2023 Optica foundation award

Demonstration of the Opticore computing with 100x more energy efficiency, Nat. Photonics 2023

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Mengjie Yu

Co-founder

Assistant Professor, EECS, UC Berkeley

Postdoc, Harvard University

PhD, Cornell University & Columbia University

Awards: 2023 DARPA Young Faculty Award, 2023 Optica Foundation Award, 2020 The Optical Society (OSA) Ambassador, 2019 The Rising Stars, 2019 Caltech’s 2019 Young Investigator Lecturer, 2016 Maiman Student Paper Competition at CLEO, 2016 Emil Wolf Student Paper Competition

Adam Cai

Business development

Adam was the Partnership Development Manager and Tax Advisor at Carta, a leading capitalization table management company backed by prominent investors such as Andreessen Horowitz, Tribe Capital, and Union Square Ventures. Prior to Carta, Adam honed his expertise at EY, where he played a pivotal role in scaling multiple tax startups and practices to achieve seven-figure ARR after the first year of joining. Recognized for his innovative approach, Adam has been featured in Berkeley Haas News and a16z articles for his outreach and impact. He is a proud graduate of UC Berkeley’s Haas School of Business.

Kenaish Al Qubaisi

Chip Designer

MIT Postdoc fellow,

PhD, Electrical Engineering, Boston University

Awards: Charles L. Newton Prize, John F. Flagg Prize, for outstanding students. Wilder Trustee Scholarship, Xerox Engineering Research fellowship

Chun-ho Lee

Scientist, Chip design & fabrication

Postdoc, UC Berkeley

PhD, KAIST (Korea)

Bachelor: Seoul National University

Skills: photonics and microwave simulation, chip layout designs, and fabrication

Dirk Englund

Advisor

ECE Professor at MIT,

PhD in Applied Physics, Stanford,

B.S. Caltech,

Awards: Presidential Early Career Award, Humboldt Professorship, DARPA Young Faculty Award.

Co-founder of DUST Identity (Security company), QuEra Computing (quantum control), Advisor of Lightmatter (optical computing)

First demonstration of integrated photonics for deep learning,  spinning off Lightmatter and Lightelligence

Alex Turnbull

Director

Alex was CIO at Keshik Capital, a multi-strategy fund based in Singapore and now runs a family office. Previously, Alex worked at leading global investment banks and hedge funds. He has close to two decades of experience managing multi-asset portfolios and investing in public and private corporate securities and derivatives. Alex also conducts research on energy and security with the Australian National University and has published in top journals. Alex has a degree in economics, and he speaks English and Mandarin.

Our Teams

Board Members

A young man wearing glasses and a black suit, exuding professionalism and confidence in a formal setting.

Zaijun Chen

Co-founder

Assistant Professor, EECS, UC Berkeley

Postdoc researcher, MIT

PhD, Max-Planck Institute-Quantum Optics,

Awards: 2023 DARPA NaPSAC, 2024 DARPA INSPIRED, Sony Faculty Research Award, 2023 SPIE AI/ML best paper Award, 2023 Optica foundation award

Demonstration of the Opticore computing with 100x more energy efficiency, Nat. Photonics 2023

Alex Turnbull

Director

Alex was CIO at Keshik Capital, a multi-strategy fund based in Singapore and now runs a family office. Previously, Alex worked at leading global investment banks and hedge funds. He has close to two decades of experience managing multi-asset portfolios and investing in public and private corporate securities and derivatives. Alex also conducts research on energy and security with the Australian National University and has published in top journals. Alex has a degree in economics, and he speaks English and Mandarin.

Machine-learning system based on light could yield more powerful, efficient large language models

- MIT news

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