Fisher AI Retreat

Erfan Bayat, Management and Human Resources 

Nkemdilim Chibuko, Management and Human Resources  

Rang Gong, Marketing and Logistics

Yiming Huang, Management and Human Resources 

Hanho Lee , Management and Human Resources 

Mohamed Megahed, Operations and Business Analytics

Lei Wang , Economics 

Xin Wen, Management and Human Resources 

Amaris Williams, Medicine

Tanya Berger-Wolf is director of the Translational Data Analytics Institute at Ohio State and a professor of computer science and engineering, electrical and computer engineering and evolution, ecology, and organismal biology at The Ohio State University. She leads the NSF-funded Imageomics Institute and the US–Canada AI and Biodiversity Change (ABC) Global Climate Center. 

A computational ecologist, her work integrates AI, computer science and wildlife biology to advance biodiversity conservation. She serves on the U.S. National Academies Board on Life Sciences and several global AI and conservation initiatives. Berger-Wolf co-founded the nonprofit Wild Me, creator of the Wildbook platform for wildlife identification and monitoring.

Nathan Laing is a senior consultant at Nationwide Financial, where he specializes in data-driven marketing strategy and analytics for the financial services industry. With more than a decade at Nationwide, he leads initiatives that combine marketing expertise with advanced analytics to drive measurable business outcomes. His work includes developing predictive models to identify top producers, aligning sales and marketing through data insights, identifying geographic growth opportunities, and executing strategic campaigns that have significantly increased submitted business. 

Nathan also led the creation of an award-winning augmented reality advisor experience recognized by senior leadership and the Nationwide Board.

Mark Oleson is a data scientist at the Ohio Education Research Center, where he supports public agencies through the Ohio Longitudinal Data Archive at The Ohio State University. With a background in economic and political theory, his work spans labor market analysis, higher education supply-demand modeling, and job postings research — translating complex administrative data into actionable insights for state agencies including the Ohio Department of Higher Education. 

Previously at the Federal Reserve Bank of Cleveland, he contributed to economic analysis, maintained a large R-based chart repository, and supported Beige Book and FOMC policy briefings. His work focuses on transforming complex administrative and survey data into insights that inform education and workforce policy.

The Human Side of AI: Tracy Dumas, Professor, Management and Human Resources

AI Tools for Academic Research: What’s Actually Useful?: Jane Jiang, Assistant Professor, Operations and Business Analytics

Label Noise: Challenges and Solutions: Waleed Muhanna, Professor, Accounting and Management Information Systems

From Automation to Augmentation: Designing Human-AI Systems for Teaching and Learning: Zac Patterson, Assistant Director of Research, The Drake Institute for Teaching and Learning

Firms in the Age of AI: Sean Wan, Professor, Marketing and Logistics

The Evolving Role of AI in Financial Services: Yufeng Wu, Associate Professor, Finance

TBD: Deborah Mitchell, Clinical Associate Professor, Marketing and Logistics

Joreen Arigye, Assistant Professor of Practice, Center for Computing Education 
Extending the Expert Learner Framework for Co-Regulation with GenAI

Christian Blanco, Assistant Professor, Operations and Business Analytics
Impact of AI Assisted Learning on Learning Engagement and Outcomes

Andrea Contigiani, Assistant Professor, Management and Human Resources
Entrepreneurship, Experimentation, and Generative AI: Evidence from ChatGPT

Jeff Dotson, Associate Professor, Marketing and Logistics
Toward a Manipulable Taxonomy of Product-Specific Aesthetic Dimensions

Lori Kendall, Senior Lecturer, Management and Human Resources
From Copy-Paste to Cognitive Lift: A Classroom Pilot of Structured AI Pedagogy in Entrepreneurship Education

Hun Lee, Associate Professor, Management and Human Resources
Generative AI as a Bridge in Evidence-Based Management

Alice Li, Associate Professor, Marketing and Logistics 
Collaborative Intelligence: Reconstructing the Invisible Consumer from Fragmented Survey Data