Meet the Team

A team uniquely combining ML, software engineering, and computational biology to make synthetic biology faster, cheaper, and more predictable.

Leadership

MS

Mahdi Shafiei

CEO & Co-founder

GoogleSamsung ResearchUC Berkeley

Mahdi leads Avitai Bio's vision and strategy. With a background in machine learning and artificial intelligence, he brings deep experience building production ML systems at Google and Samsung Research. He holds a degree from UC Berkeley, where his work focused on applying advanced ML techniques to scientific domains.

Machine LearningAI SystemsFoundation ModelsTechnical Strategy

CTO & Co-founder

Engineering Lead

LinkedIn

Our CTO architects and leads the engineering behind Avitai Bio's platform. With a strong software engineering background forged at LinkedIn, specializing in building scalable, reliable infrastructure for data-intensive applications. Brings the engineering rigor needed to turn research models into production-grade tools.

Software EngineeringDistributed SystemsPlatform ArchitectureInfrastructure

CSO & Co-founder

Science Lead

SRI InternationalU of Wisconsin

Our CSO drives the scientific strategy at Avitai Bio, ensuring that models remain grounded in biological reality. With a computational biology background from SRI International, bridging the gap between AI capabilities and biological constraints. Holds a degree from the University of Wisconsin, with expertise in systems biology and metabolic engineering.

Computational BiologySystems BiologyMetabolic EngineeringScientific Strategy

Where We Come From

Our team uniquely combines Machine Learning, Software Engineering, and Computational Biology — the three disciplines essential to building AI that actually works for biology.

GoogleLinkedInSamsung ResearchSRI InternationalUC BerkeleyU of Wisconsin

Join Our Team

We're looking for talented ML engineers, computational biologists, and software engineers who are passionate about making biology faster and more predictable.

View Open Positions