Deepika Chhillar

Deepika Chhillar is an incoming Assistant Professor of Management at the Daniels College of Business, University of Denver, transitioning from her PhD studies at the University of Illinois Urbana-Champaign. Her research program bridges strategic human resource management, sustainability, and digital governance, with a focus on organizational responses to technological disruption.

Her educational background includes:

• PhD in Business Administration, Gies College of Business, University of Illinois Urbana-Champaign
• MS in Economics, Birla Institute of Technology, Pilani (2012)
• BE in Computer Science, Birla Institute of Technology, Pilani (2011)

Dr. Chhillar investigates critical intersections of technology and society, examining how artificial intelligence reshapes organizational structures while addressing systemic risks like algorithmic bias. Her work extends to organizational culture's relationship with corporate wrongdoing, purpose-employee experience alignment, and virtual workplace dynamics during crises. This research agenda combines computational methods with institutional theory to develop actionable governance frameworks for emerging technologies.

Her seminal 2022 publication establishes foundational principles for AI governance, analyzing bias sources and transparency mechanisms across organizational and policy contexts. Ongoing projects explore purpose-driven organizations through multi-source data analysis and pandemic-era cultural adaptation in startups, revealing how socioeconomic factors mediate virtual work effectiveness.

Her scholarly recognition includes:

• AAUW Fellowship (2022-2023)
• Nomination for Schein Best Student Paper Prize (Berkeley Haas Culture Conference, 2021-2022)

With industry experience spanning Schlumberger's Big Data Analytics division and Credit Suisse's Risk Management team, she integrates practical insights into her academic work. As she launches her faculty career, she is positioned to develop significant contributions at the technology-people-sustainability nexus through rigorous empirical studies and cross-sector collaborations.