Our People

Team

Noah Friedman
Founder

Noah Friedman

Noah has spent his career at the intersection of biotech, medicine, and AI. Noah trained at Stanford where he received a BS in Symbolic Systems with a concentration in Artificial Intelligence and a Master's in Biomedical Informatics.

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Prateek Dwivedi
AI Engineer

Prateek Dwivedi

Prateek's career has taken him from building enterprise software for Fortune 500 clients, to living and working with tribal communities in rural India, to developing data platforms and AI-driven analytics for sustainable investments, each chapter shaping how he thinks about technology's role in solving real-world problems.

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Siler Head
Operations Associate

Siler Head

Siler works across Tetonic AI's operations and growth initiatives, helping shape outreach, internal systems, and external-facing materials as the company grows.

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Partner Consultants
Chan Siv
Strategic Innovation Advisor

Chan Siv

Chan Siv is a scientist-operator and strategic innovation advisor focused on advancing breakthrough health technologies from concept to real-world impact. He supports startups, academic institutions, nonprofits, and industry teams in developing competitive proposals and commercialization strategies for health innovation initiatives.

Maksim Tsvetovat
CEO & Founder, Research Lambda

Maksim Tsvetovat

Dr. Maksim Tsvetovat is the CEO and Founder of Research Lambda, an evidence-grounded clinical AI company built to accelerate clinical trial startup for pharma sponsors and CROs. He holds a PhD in Computer Science from Carnegie Mellon and brings 20+ years of AI and machine learning in healthcare, including prior roles as Director at Google Critical Infrastructure and EPAM Healthcare AI, and as Senior Advisor to ARPA-H.

Mahtabin Rodela
AI Engineer

Mahtabin Rodela

Mahtabin Rodela is a computational biologist and AI engineer with an M.S. in Computational Biology from Carnegie Mellon University and a B.S. in Bioinformatics and Environmental Sciences. She has industry and academic experience building ML/AI systems across computational biology, brain stimulation, and biomedical data, most recently developing LLM-powered agent workflows at Harvard Business School Spin off and optimizing Bayesian optimization methods for noisy rodent-model experiments at UCSF.

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