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OpenAI researcher and Stanford PhD bridging cutting-edge AI with real-world impact
Efficiency Tips for Engineers (From an OpenAI Researcher & Stanford PhD)
BanditPAM: Almost Linear Time k-Medoids Clustering — HALG 2021
A practical framework for business leaders to assess their organization's AI readiness and develop a strategy that delivers real results, not just hype. Mo draws on his experience at OpenAI and Google to separate signal from noise in the rapidly evolving AI landscape.
How to develop genuine AI capabilities within your organization — from identifying high-impact use cases to building teams and infrastructure that deliver measurable outcomes. Based on lessons from Google, OpenAI, and high-growth startups.
A deep dive into the frontier of AI research and what it means for business and society. Mo provides an insider view of the breakthroughs happening at top labs and translates them into implications leaders can act on today.
Mo Tiwari is a Member of Technical Staff at OpenAI, where he works on advancing the frontier of artificial intelligence. He holds a PhD in Computer Science from Stanford University, where he was advised by Sebastian Thrun and Chris Piech, and a BS in Mathematics and Physics from the California Institute of Technology, where he graduated with honors in the top 5% of his class.
Mo has spent his career at the intersection of cutting-edge AI research and real-world impact. At OpenAI, he continues pushing the boundaries of what AI systems can do. Earlier in his career, he was the fifth employee at Expanse, a cybersecurity startup acquired by Palo Alto Networks for $800 million, where he built infrastructure analyzing trafficking advertisements that contributed to dozens of arrests and victim rescues. He also led a team at Facebook building ThreatExchange, growing enterprise customers from 92 to 500+, and conducted particle physics research on the CMS experiment at CERN.
Mo speaks on AI strategy and readiness for business leaders, building organizational AI capabilities, and the bleeding edge of AI research. He can tailor talks to technical or non-technical audiences.
Mo combines deep technical expertise with accessible storytelling. He draws on real-world examples from OpenAI, Google, and his startup experience to make complex AI concepts practical and actionable for any audience.
Absolutely. Mo regularly tailors his talks to the specific industry, audience level, and goals of each event. He can go deep on technical topics for engineering teams or keep things strategic for C-suite audiences.
Yes. Mo is available for in-person, virtual, and hybrid events. He is based in San Francisco and travels nationally and internationally.
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$10,000+
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Creator of Siri and 5x founder at the intersection of AI and human potential
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