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 Yang founded GREENBOX to address a fundamental problem in modern biology: experiments are difficult to reproduce, compare, and build upon because the environments in which they run are not standardized.
Her perspective is shaped by a lifetime around climate science and controlled-environment agriculture. Growing up in a family deeply involved in agricultural engineering and climate research, she saw firsthand how environmental variability and inconsistent execution can undermine otherwise rigorous scientific work.
Before founding GREENBOX, Lisa built large-scale hardware–software systems in big tech, focusing on distributed infrastructure, cyber-physical systems, and complex system integration. Her work centered on environments where reliability, telemetry, and execution integrity were essential.
GREENBOX brings these worlds together—applying systems-level engineering to biological experimentation so researchers and operators can run experiments as governed systems and generate data that can be trusted, shared, and reproduced across institutions.
Dr. Abolfazl Karimi
Cofounder, AI Systems & Scientific Software
LinkedIn
Dr. Abolfazl Karimi (Abel) is a computer scientist specializing in high-integrity software systems, autonomous platforms, and formal verification.
His research focuses on systems where correctness and traceability are critical—ranging from autonomous decision systems to distributed computing architectures. Abel holds three master’s degrees and a PhD in computer science.
At GREENBOX, Abel leads the architecture of the platform’s execution engine and data systems. His work ensures that experimental protocols become machine-interpretable runtime systems and that the resulting biological data carries full execution provenance.
By combining formal systems thinking with applied AI, Abel’s work enables biological experiments to be executed deterministically and verified computationally.
Pruthvi Patel
Cofounder, Hardware Systems & Robotics
LinkedIn
Pruthvi Patel is an engineer specializing in precision electromechanical systems, robotics, and sensor-integrated hardware platforms.
His background spans robotics, automation, and the development of hardware systems designed for controlled and regulated environments, including medical and laboratory technologies.
At GREENBOX, Pruthvi leads the design and development of the company’s physical infrastructure platform—integrating sensing, environmental control, and embedded systems to create governed experimental environments.
His work ensures that biological systems can be studied under tightly controlled conditions while capturing high-resolution telemetry required for reproducible experimentation and large-scale biological data generation.
Lisa Yang
Founder & CEO
LinkedIn
Lisa Yang founded GREENBOX to address a fundamental problem in modern biology: experiments are difficult to reproduce, compare, and build upon because the environments in which they run are not standardized.
Her perspective is shaped by a lifetime around climate science and controlled-environment agriculture. Growing up in a family deeply involved in agricultural engineering and climate research, she saw firsthand how environmental variability and inconsistent execution can undermine otherwise rigorous scientific work.
Before founding GREENBOX, Lisa built large-scale hardware–software systems in big tech, focusing on distributed infrastructure, cyber-physical systems, and complex system integration. Her work centered on environments where reliability, telemetry, and execution integrity were essential.
GREENBOX brings these worlds together—applying systems-level engineering to biological experimentation so researchers and operators can run experiments as governed systems and generate data that can be trusted, shared, and reproduced across institutions.
Dr. Abolfazl Karimi
Cofounder, AI Systems & Scientific Software
LinkedIn
Dr. Abolfazl Karimi (Abel) is a computer scientist specializing in high-integrity software systems, autonomous platforms, and formal verification.
His research focuses on systems where correctness and traceability are critical—ranging from autonomous decision systems to distributed computing architectures. Abel holds three master’s degrees and a PhD in computer science.
At GREENBOX, Abel leads the architecture of the platform’s execution engine and data systems. His work ensures that experimental protocols become machine-interpretable runtime systems and that the resulting biological data carries full execution provenance.
By combining formal systems thinking with applied AI, Abel’s work enables biological experiments to be executed deterministically and verified computationally.
Pruthvi Patel
Cofounder, Hardware Systems & Robotics
LinkedIn
Pruthvi Patel is an engineer specializing in precision electromechanical systems, robotics, and sensor-integrated hardware platforms.
His background spans robotics, automation, and the development of hardware systems designed for controlled and regulated environments, including medical and laboratory technologies.
At GREENBOX, Pruthvi leads the design and development of the company’s physical infrastructure platform—integrating sensing, environmental control, and embedded systems to create governed experimental environments.
His work ensures that biological systems can be studied under tightly controlled conditions while capturing high-resolution telemetry required for reproducible experimentation and large-scale biological data generation.
GREENBOX Labs, Inc. © 2026
GREENBOX Labs, Inc. © 2026
GREENBOX Labs, Inc. © 2026