Gabriel Zaccak

I’m a computer scientist focused on scalable AI systems. I started my career building distributed services for major broadcasting networks like NPR, XM, FranceTV, ABC, and CBC, helping teams collaborate across locations.

I moved into AI during grad school at MIT CSAIL, where I built interactive natural language systems for information access, including lecture processing, Q&A systems, and software agents. I also interned at Google, where I got an early look at machine learning at scale.

I’ve been part of two startup exits: one in EdTech, where I helped build a training and assessment platform now integrated into Elsevier’s Sherpath, and doc.ai, which was acquired by Sharecare. At doc.ai and Sharecare, I led machine learning platform and solutions teams, building systems that served more than 100 million members and advancing privacy-preserving and edge AI in healthcare.

Later, I advised startups and larger firms on AI strategy, product development, and deployment, and founded Vivify, an AI-powered platform for creative education. Today, I am a Member of Technical Staff at Edison Scientific, where I help build the AI platform for science, developing agent-driven workflows that accelerate research and drug discovery.