AI in Human Resource Management Conference
Leading the Future of AI-Enabled HR Management
April 10, 2026
Reynolds Hall, Morgantown
Join us for a transformative day at the AI in HRM Conference, where academic excellence meets industry innovation. Hosted by the John Chambers College of Business and Economics, this event showcases cutting-edge insights into how artificial intelligence is reshaping the future of Human Resource Management.
Why Attend?
- Dynamic Keynote Addresses: Start your day with a keynote by Dr. Richard N. Landers Ph.D. (University of Minnesota), and your afternoon with keynote addresses by DJ Casto and Dr. Nathan Mondragon.
- Thought-Provoking Presentations: Listen talks given by industry experts like DJ Casto (Synchrony), Kellyn Smith (CVS Pharmacy), and top scholars in the field of AI in HRM, including Dr. Louis Hickman (Virginia Tech) and Dr. Chen Tang, Ph.D. (American University).
- Interactive Workshops: Develop practical AI skills through hands-on workshops, such as Dr. Louis Hickman's session on natural language processing and text analysis.
- Networking Opportunities: Connect with WVU students, alumni, industry professionals, HR scholars, and legislators during a networking lunch and refreshment breaks.
Who Should Attend?
This conference is ideal for:
- WVU students and faculty from all disciplines
- HR professionals seeking professional development credits (SHRM and HRCI available)
- Local businesses looking to adopt AI solutions
- Legislators and policymakers interested in AI’s economic potential
Don’t miss this unique opportunity to learn, network, and position yourself at the forefront of AI-powered HR innovations.
Meet the Presenters
Richard N. Landers, Ph.D., is the John P. Campbell Distinguished Professor of Industrial-Organizational Psychology at the University of Minnesota and Principal Investigator of TNTLAB. His research concerns the use of innovative technologies including artificial intelligence and gamification to improve employee assessment, hiring, learning, and organizational research methods. He is President-Elect and a Fellow of the Society for Industrial and Organizational Psychology. He has been featured in Forbes, Business Insider, and Popular Science, among others, and he consults in industry via Landers Workforce Science LLC ( https://landers.tech) by providing guidance on employee selection and learning processes incorporating artificial intelligence and other advanced technologies.
Dr. Louis Hickman is an Assistant Professor of Industrial-Organizational
Psychology at Virginia Tech, a Visiting Academic at Amazon, and a Senior
Fellow at University of Pennsylvania’s Wharton People Analytics. He holds
an M.S. in Computer and Information Technology, specializing in natural
language processing, and a Ph.D. in Industrial-Organizational Psychology.
His research focuses on applications and implications of machine learning,
natural language processing, and artificial intelligence in selection,
assessment, and training and development. His research twice won the Society
for Industrial-Organizational Psychology’s Jeanneret Award for Excellence
in the Study of Individual or Group Assessment. His achievements earned
him the Association for Psychological Science (APS) Rising Star Award in
2025, granted to outstanding psychological scientists in the earliest stages
of their research careers. He is the first Industrial-Organizational Psychologist
hired through the Academics at Amazon program, where Amazon hires world-class
academics to work on large-scale technical challenges while continuing
their academic positions.
Chen Tang, PhD is an Assistant Professor at the Kogod School of
Business at American University, with his PhD in Human Resources and Industrial
Relations from the University of Illinois Urbana-Champaign. His research
interests lie at the intersection of HR analytics, machine learning, and
computational modeling. Chen leverages advanced quantitative methods to
address critical organizational challenges, such as improving the validity
and reducing bias in predictive models that facilitate organizational decision-making.
His work has appeared in
Journal of Applied Psychology,
Personnel Psychology, and
Journal of Business Ethics.
Dr. Nathan Mondragon is the President & Chief Strategy Officer
at ProboTalent, a leading AI-native talent intelligence platform. He is
a science and technology leader specializing in technology enabled talent
intelligence, psychometrics, and product innovation. He has an extensive
30-year history building scalable, enterprise technology solutions that
transform how organizations hire, develop, and understand their workforce.
Nathan was previously the Chief Innovation Officer at Hirevue, Chief I/O
Psychologist with Taleo (acquired by Oracle), Senior OD Strategist at Dell
Computer, and held various consulting and manager roles at Aon, SHL, and
DDI. Nathan is a global thought leader that advises executives, boards,
and government agencies on AI governance, fairness, and future-of-work
implications. He has been featured in NPR, BBC, WSJ, Bloomberg, HBO, and
U.S. Congressional briefings for advancing responsible AI in HR technology.
DJ Casto is Executive Vice President and Chief Human Resources Officer of Synchrony, one of the nation’s premier consumer financial services companies. DJ is responsible for engaging employees in Synchrony’s strategic business imperatives and building people-led development programs that strengthen culture, drive business growth and nurture the company’s talent as a competitive advantage. DJ is passionate about helping every employee live Synchrony’s values and is committed to community service. He currently serves on the boards of Jobs for America’s Graduates (JAG) and buildOn, a nonprofit dedicated to empowering urban youth to transform their neighborhoods.DJ earned a master’s degree in industrial relations and a bachelor’s degree in business administration from West Virginia University, where he serves on the Master of Science in Industrial Relations and Human Resources Executive Alumni Board.
Kellyn Smith is a Sr. Manager, Talent Management Business Partner in Pharmacy and Consumer Wellness at CVS Health, where she partners with senior field and HR leaders to design and execute talent strategies that build high performing retail leadership teams. Some of her primary responsibilities include creating and deploying content within field leadership development programs, succession planning, and performance management, with a strong focus on building sustainable pipelines of diverse, ready now talent. Her earlier career experiences include progressive roles in talent acquisition and learning and development across hospitality, retail, and academic settings. Kellyn holds a Master of Science in Human Resources and Industrial Relations from West Virginia University and resides in Morgantown with her husband, Nick, and puppies, Kamryn and Heyward.
AI Meets HRM
Olga Bruyaka, PhD is a scholar of strategy and innovation whose research examines how firms’ investments in new technologies shape organizational performance and market outcomes (see her Google Scholar profile). Her current work on artificial intelligence (AI), conducted in collaboration with Lily Morse and Arkadiy Lenchak (University of Denver) investigates whether—and when—corporate communication about AI during earnings calls matters to investors. Analyzing more than a decade of earnings calls, this research shows that firms that discuss AI tend to see positive stock market reactions, particularly when their prior R&D investments and operational capabilities make those AI claims more credible.
Dr. Bruyaka is a Guest Editor of two Special Issues on AI: At Long Range Planning journal, she is leading the special issue “Navigating the Paradoxes of Artificial Intelligence: Implications for Strategy Theory and Practice", which explores key trade-offs associated with AI, including human-machine interactions, shifts in decision-making, and the implications of AI for creativity and innovation. At Technovation journal, she is co-editing the special issue “AI and Cooperation: Towards a New Era in Inter-Organizational Relationships, which focuses on how AI is transforming inter-organizational collaborations.
Jamie Field's research program focuses on organizational research methods (e.g., meta-science, open science) and OB/HR (e.g., cross-cultural differences, employee motivation) topics. Dr. Field is collaborating with the Center for Open Science on an initiative supported by the Defense Advanced Research Projects Agency's (DARPA) program, Systematizing Confidence in Open Research and Evidence (SCORE). This project aims to develop and implement automated tools that generate rapid, scalable, and accurate confidence scores for research claims. These scores are quantitative measures designed to help researchers, funders, policymakers, and other consumers of scientific evidence better understand the reproducibility and replicability of research findings, ultimately clarifying the level of uncertainty associated with scientific claims.
Jeff Houghton is an expert in self-leadership and organizational behavior, having published an impressive number of academic papers and authored three popular textbooks. His latest research on the topic of AI, co-authored with Joseph Avery, Christopher B. Neck, and Hayden Sliger, is titled ' Self-Leadership and Creative Process Engagement in the Age of AI: The Moderating Role of Generative AI Integration and the Mediating Influence of Creative Self-Efficacy in Organizational Settings .'
Xiaoxiao Hu, PhD conducts research in organizational behavior and human resource management. In collaboration with scholars at the Amsterdam Business School and the Lazaridis School of Business and Economics at Wilfrid Laurier University, she is conducting multiple research projects examining employees’ perceptions of, attitudes toward, and adoption of AI in the workplace. Additionally, she works with DBA students Ryan Roberts and Danielle Tostado to explore the intersection of AI with leadership and mentorship, and how these dynamics shape employee performance and well-being.
Ryan Angus and his DBA student – Patrick Garren, MPH jointly work on the AI-related research project titled " Framing Artificial Intelligence as Automated vs. Augmented: Exploring Perceptions and Impacts on Technological Adoption – A Qualitative Study ," and based on the data from interviews with employees across various departments in the Spartanburg Regional Healthcare System. These interviews touch upon employees’ perceptions of and involvement with the implementation of a new AI-capable Clinical Trial Management System (CTMS). This project aims to uncover the intricacies related to how framing this CTMS, as automated versus augmented, impacts employee receptivity and subsequent utilization of AI.
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