About GREENBOX Labs

About GREENBOX Labs

Built for irreplaceable biology.

Built for irreplaceable biology.

GREENBOX was created to solve a specific failure mode: biological work that cannot be reliably reproduced, transferred, or learned from at scale.

Rather than chasing optimization or automation, GREENBOX governs execution - preserving human judgment while making outcomes durable.

The platform is designed as integrity infrastructure, not equipment.

Its value compounds through repeated use, comparable datasets, and reduced execution variance.

As more protocols are validated and reused, GREENBOX becomes a shared execution standard across organizations, sites, and environments.

Customers don’t subscribe to a box. They adopt governed execution capacity.

GREENBOX was created to solve a specific failure mode: biological work that cannot be reliably reproduced, transferred, or learned from at scale.

Rather than chasing optimization or automation, GREENBOX governs execution - preserving human judgment while making outcomes durable.

The platform is designed as infrastructure, not equipment.

Its value compounds through repeated use, comparable datasets, and reduced execution variance.

As more protocols are validated and reused, GREENBOX becomes a shared execution standard across organizations, sites, and environments.

Customers don’t subscribe to a box. They adopt governed execution capacity.

Founders

Founders

Designed from first principles. Governed by integrity.

Designed from first principles. Governed by integrity.

Lisa Yang
Founder & CEO
LinkedIn

Lisa was inspired to build GREENBOX through a lifetime of exposure to climate and agricultural research. She grew up around controlled-environment agriculture and climate science, influenced by her father’s five decades of research in agricultural engineering and his role leading climate work in Connecticut. She saw firsthand how much effort researchers put into experiments whose results were difficult to reproduce or share.
Professionally, Lisa spent her career building large-scale hardware–software systems in big tech, where execution, data integrity, and reliability were essential. GREENBOX brings these worlds together: applying systems-level thinking to biological work so researchers and operators can trust, transfer, and build on what they produce, even under increasing climate volatility.

Dr. Abolfazl Karimi
Cofounder, AI Systems & Scientific Software
LinkedIn

Abel is a computer scientist with three master’s degrees and a PhD, specializing in high-integrity software systems, formal verification, and AI. His work focuses on correctness, provenance, and systems where errors are unacceptable. At GREENBOX, Abel leads the execution engine and data architecture that ensures biological outcomes are not just measured, but verifiable.

Incoming Leadership
Cofounder, Hardtech & Robotics

GREENBOX is expanding the founding team with deep expertise in robotics and mechatronics to further harden system design and scale deployment.

Lisa Yang
Founder & CEO
LinkedIn

Lisa was inspired to build GREENBOX through a lifetime of exposure to climate and agricultural research. She grew up around controlled-environment agriculture and climate science, influenced by her father’s five decades of research in agricultural engineering and his role leading climate work in Connecticut. She saw firsthand how much effort researchers put into experiments whose results were difficult to reproduce or share.
Professionally, Lisa spent her career building large-scale hardware–software systems in big tech, where execution, data integrity, and reliability were essential. GREENBOX brings these worlds together: applying systems-level thinking to biological work so researchers and operators can trust, transfer, and build on what they produce, even under increasing climate volatility.

Dr. Abolfazl Karimi
Cofounder, AI Systems & Scientific Software
LinkedIn

Abel is a computer scientist with three master’s degrees and a PhD, specializing in high-integrity software systems, formal verification, and AI. His work focuses on correctness, provenance, and systems where errors are unacceptable. At GREENBOX, Abel leads the execution engine and data architecture that ensures biological outcomes are not just measured, but verifiably produced.

Incoming Leadership
Cofounder, Hardtech & Robotics

GREENBOX is expanding the founding team with deep expertise in robotics and mechatronics to further harden system design and scale deployment.

GREENBOX Labs, Inc. © 2026

GREENBOX Labs, Inc. © 2026


GREENBOX Labs, Inc. © 2026