startups Experts
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Karen Schulman Dupuis
Strategic Innovator | Business Designer | Operational CatalystSocial Design
Building resilient, emotionally intelligent organizations where business design, digital innovation & equity collide.
Timothy B. Folta, Ph.D.
Professor of Management; Thomas John and Bette Wolff Family Chair in Strategic Entrepreneurship; Academic Director, Connecticut Center for Entrepreneurship and InnovationUniversity of Connecticut
Prof Folta is an expert in entrepreneurship and corporate strategy, analyzing decisions around entry, exit, and diversification.
Micheál Kelly
Board Member, CATAAlliance // Dean, School of Business and EconomicsLazaridis School of Business and Economics, Wilfrid Laurier University
Micheál Kelly is Dean of the Lazaridis School of Business and Economics at Wilfrid Laurier University.
Peter Roberts
Professor of Organization & Management; Executive Academic Director, Business & Society InstituteEmory University, Goizueta Business School
George A. Kantor
Research Professor / Associate Director of EducationCarnegie Mellon University
George Kantor has been developing robotic technologies to address problems in agriculture and scientific exploration for 15 years.
Dr. Raphael (Rafi) Hofstein
President & CEOMaRS Innovation
Turning academic ideas into commercial realities
Patrick L Young
Executive DirectorDerivatives Vision
Understand the future of finance through history & IT to appreciate opportunities for successful investment in developed & emerging markets.
Moisés Naím
Senior Associate, International Economics ProgramCarnegie Endowment for International Peace
Internationally Syndicated Columnist, Best-selling Author and Host and Producer of Efecto Naim
Meredith Grelli
Director of Project Olympus and Assistant Dean of Entrepreneurship InitiativesCarnegie Mellon University
Meredith Grelli is dedicated to helping people navigate business development, no matter the stage.
Zico Kolter
Associate Professor and Director of Machine LearningCarnegie Mellon University
Zico Kolter researches how to make deep learning algorithms more robust, safer, and understand how data impacts how models function.