Find Academic Supervisors

Christopher PoliquinView profile

Assistant Professor

• Technology adoption
• Organizational design
• Public policy
• +5 more

Christopher Poliquin is an Assistant Professor of Strategy at UCLA Anderson School of Management, joining in 2018. His work bridges technology, organizational design, and public policy, with a focus on societal impact. Education: DBA from Harvard Business School (2018), B.A. in Philosophy, Politics, and Economics from University of Pennsylvania (2009) His research explores technology's effects on wage inequality and organizational hierarchies in startups, using data from Brazilian manufacturing firms. He also investigates gun policy impacts, including waiting periods and mass shootings' influence on legislation, with findings widely covered in media. Recent publications address CEO activism, occupational licensing, and firm scalability. Key themes include public policy evaluation , organizational efficiency , and technology's societal distribution . Scientific Awards: Teaching Fellow at Harvard Kennedy School of Government Poliquin's work informs debates on tech adoption's economic consequences and startup organizational strategies, offering insights for policymakers and corporate leaders.

• Logistics Systems
• Emergency Medical Services
• Air Transportation
• +5 more

Marla Lavanya is an Associate Professor (with tenure) in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign. She holds a PhD from MIT and has held academic positions at UIUC, Carnegie Mellon University, and visiting roles at NYU and the Indian School of Business. Her research focuses on optimizing large-scale transportation systems using tools from operations research, machine learning, and data analytics, addressing challenges in air transport, emergency medical services, and logistics resilience. Education: PhD in Transportation Systems, MIT, 2010 M.S. in Transportation and Operations Research, MIT, 2007 B.Tech. in Civil Engineering with a minor in Industrial Engineering, IIT Madras, 2004 Research Interests: Dr. Lavanya's work emphasizes decision-making under uncertainty, robust network design, and sustainability. She develops data-driven models to enhance system resilience in aviation, EMS, and logistics. Recent projects include climate change impacts on airline networks, cyber-physical port operations, and personalized airline pricing strategies. Key Contributions: Her research bridges operations research and AI, with applications in disruption management, emergency response coordination, and sustainable infrastructure. Notable outputs include models for electric aviation infrastructure, EMS systems in emerging economies, and algorithms for dynamic network recovery. Awards and Recognition: Center for Advanced Study Fellow, 2021-22 Alfred P. Sloan Foundation Fellowship, 2008-2009 Best Paper Awards in AGIFORS and ICRAT conferences Recipient of NSF grants and industry partnerships Teaching and Mentorship: Teaches graduate courses on large-scale optimization and network systems. Mentors over 30 students, many of whom pursue roles in academia and industry-leading firms like Walmart Labs and Deepair Solutions. Service and Outreach: Serves on NSF panels, reviews for top journals, and chairs AGIFORS. Committed to diversity in STEM and advancing women in engineering.

• Critical Infrastructure Resilience
• Logistics Systems
• Emergency Medical Services
• +7 more

Lavanya Marla is an Associate Professor with tenure in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign (UIUC). She holds a PhD in Transportation Systems from MIT (2010) and dual M.S. degrees in Transportation and Operations Research from MIT (2007). Her academic roles include visiting appointments at NYU (2023-2024), Indian School of Business (2015), and a prior position as Assistant Professor at UIUC (2013–2022). She also holds zero-time appointments in Civil and Environmental Engineering, Information Trust Institute, and the Center for Autonomy. Her research focuses on applying large-scale optimization, machine learning, and data-driven methods to enhance logistics and transportation systems' efficiency, resilience, and sustainability. Key areas include air transportation networks, emergency medical services (EMS), and cyber-physical systems. She bridges Operations Research and AI, emphasizing decision-making under uncertainty and robust network design. Recent work addresses climate change impacts on airline networks, cybersecurity in shipping ports, and algorithmic solutions for healthcare logistics. Her articles span journals like Transportation Science , IEEE Transactions , and Operations Research Forum . Notable awards include the Alfred P. Sloan Fellowship (2008–2009) and the 2021 Center for Advanced Study Fellowship. Her grants include funding from NSF, DHS, and collaborations with industries like Flyr Labs and Deepair Solutions. She mentors over 20 students, emphasizing diversity and equity in STEM. Current projects include drone-bystander-ambulance coordination and pandemic healthcare management through the Jump-ARCHES initiative.

Caroline JagtenbergView profile

Assistant Professor

• Operations Research
• Emergency Medical Services Optimization
• Healthcare Logistics
• +4 more

Dr. Caroline Jagtenberg is an Assistant Professor in the Department of Operations Analytics at the School of Business and Economics, Vrije Universiteit Amsterdam. Her expertise lies in operations research applied to emergency service optimization, healthcare logistics, and fair resource allocation. She holds a PhD in applied mathematics from CWI (2017) and conducted postdoctoral research at the University of Auckland (2018). Education: PhD in Applied Mathematics, Centrum Wiskunde & Informatica (CWI), 2017 Postdoctoral Fellowship, University of Auckland, New Zealand, 2018–2020 Research Interests: Dr. Jagtenberg focuses on bridging theoretical optimization and practical applications in emergency services. Her work includes ambulance and air ambulance base location optimization, community first responder systems, police response time reduction, and fairness in healthcare resource allocation. She has contributed to projects such as the VeRoLog Solver Challenge (Third Prize, 2019) and the NWO Rubicon-funded postdoctoral research. Awards & Grants: Jo van Nunen Award (2017) for best Dutch logistics dissertation NWO Rubicon Grant (2018), supporting her postdoctoral research TKI Dinalog Grant (2023) for the SPRINTER project on emergency response optimization Advising & Projects: She leads the SPRINTER project and contributes to the TKI Dinalog initiative. Ancillary activities include editorial roles at Stator , LNMB board membership, and consultancy with organizations like Deltares and Berenschot. Labs & Teams: Her research leverages datasets such as ambulance travel times (RIVM) and Norwegian municipality data, collaborating on projects like optimizing mobile stroke units and electric ambulance deployment strategies.

JR KellerView profile

Associate Professor

• Human Resource Management
• Organizational Behavior
• Talent Management
• +4 more

JR Keller is an Associate Professor of Human Resource Studies at Cornell University's ILR School, directing its EMHRM program. His research explores firm hiring decisions, career choice dynamics, and internal labor market mechanisms. He holds a Ph.D. from Wharton, an M.Ed. from Indiana University, and undergraduate degrees in Finance and Computer Applications from Notre Dame. Education: Ph.D. Management (Wharton School), M.Ed. Adult Education (Indiana University), B.S. Finance and Computer Applications (University of Notre Dame). Research focuses on how firms combine internal/external hiring strategies, employee mobility's impact on performance, and talent management's historical evolution. Key themes include pay equity perceptions, managerial voice influence on talent attraction, and the role of prior employment ties in hiring success. Publications span Administrative Science Quarterly, Academy of Management Journal, and Harvard Business Review. Recent work analyzes boomerang employees' performance, lateral career moves, and the implications of rejection in internal talent markets. Over 15 articles since 2018 demonstrate sustained contributions to organizational behavior and HR strategy. Awarded 2019 Academy of Management HR Division Scholarly Impact Award and 2025 MacIntyre Teaching Award. His work bridges academic rigor with practitioner insights through articles like 'The Best Way to Hire from Inside Your Company' (HBR) and strategic supply-chain talent management frameworks. Advising and grants: No explicit student advisees listed, but extensive collaboration with scholars like Matthew Bidwell and Rebecca Kehoe. Focus on real-world HR challenges through empirical studies of U.S. school systems and corporate hiring practices.

Amit KaushalView profile

Adjunct Professor

• Medical Informatics
• Artificial Intelligence in Healthcare
• Health Data Ethics
• +3 more

Amit Kaushal is an Adjunct Professor in the Department of Bioengineering at Stanford University and a Clinical Associate Professor of Medicine (Stanford-VA). He holds dual expertise in clinical practice, medical education, and healthcare technology innovation. His work bridges academic research, industry collaboration, and public health initiatives. He co-founded and directs Stanford's undergraduate Biomedical Computation major, which has graduated over 70 students and been featured in Nature . Dr. Kaushal’s research focuses on ethical use of health data to improve clinical practice, with particular emphasis on AI-assisted care, pandemic response systems, and biomarker discovery. He leads initiatives in the Partnership for AI-Assisted Care and has advised startups at the healthcare-technology interface. His clinical practice as an academic hospitalist informs his research on resident workload analysis and telehealth training. Education: BS (Biomedical Computation), MD, PhD (Biomedical Informatics), and Internal Medicine residency all completed at Stanford University. Board-certified in Internal Medicine and Clinical Informatics. Recent publications highlight innovations in AI ethics, digital health education frameworks, and scalable contact tracing systems. He has contributed to biomarker discovery in organ transplantation and kidney diseases, reflecting his proteomics research background. Lab affiliations include the Partnership for AI-Assisted Care and collaborations with public health agencies. Current projects focus on real-world validation of large language models in medicine and advancing clinical behavioral atlases through ambient intelligence.

• Strategic Management
• Corporate Strategy
• Digital Economy
• +5 more

Xun (Brian) Wu is the Robert G. Rodkey Collegiate Professor of Business Administration and Professor of Strategy at the Ross School of Business, University of Michigan. He holds a PhD from the Wharton School (University of Pennsylvania) and degrees from Tsinghua University and National University of Singapore. Education PhD, University of Pennsylvania (2007) MS, University of Pennsylvania (2005) MS, National University of Singapore (2001) BA, Tsinghua University (1998) His research focuses on corporate scope dynamics, digital firm evolution, organizational design, and entrepreneurship in emerging economies. He explores resource redeployment, platform markets, and grand challenges through theoretical models and empirical studies. Recent publications address disruptive timing in platform markets, blockchain design , and AI-driven organizational hierarchies . His work spans journals like Strategic Management Journal, Management Science, and IEEE Transactions on Industrial Informatics. Scientific Awards Sanford R. Robertson Professorship 3M Nontenured Faculty Award SMJ Best Video Abstract Award Poets & Quants' 40 Under 40 Active in academic leadership, he serves as Co-Editor-in-Chief for the Journal of Organization Design and on editorial boards of Strategic Management Journal and Management Science. He co-organizes AOM/SMS events and chairs university committees. His consulting clients include Amazon, Microsoft, Didi, and Alibaba Group.

Fan XiaView profile

Associate Professor

• Strategic Management
• Mergers and Acquisitions
• Innovation
• +2 more

Fan Xia is an Associate Professor in the Strategy and Innovation department at Rennes School of Business. His research focuses on strategic management, corporate governance, and innovation in Chinese manufacturing contexts. Dr. Xia holds a PhD from UCLA and has previously served as an Assistant Professor at Peking University. Education includes: PhD, University of California, Los Angeles (2003-2007) M.A. (institution not specified) Executive Education, Harvard Business School (2011-2012) Dr. Xia's research examines ownership structures, mergers and acquisitions, and entrepreneurial adaptation in emerging economies. His work combines quantitative analysis with case studies to explore how corporate strategies influence firm performance and innovation trajectories. His publications consistently address strategic renewal, institutional ownership dynamics, and firm-level responses to market uncertainties. Recent articles emphasize resource redeployment in acquisitions and the role of agglomeration economies in enhancing foreign firm competitiveness. No scientific awards, advising relationships, or laboratory affiliations are documented in the provided materials.

Kui DuView profile

Associate Professor

• Information Systems
• Strategic Management of IT
• Health IT
• +3 more

Kui Du is an Associate Professor at the College of Management , University of Massachusetts Boston, specializing in the strategic management of information technology and health IT. With a PhD from the University of Texas at Austin and prior experience as an IT consultant and auditor, he bridges academic research with industry practice. PhD, University of Texas at Austin MA, Peking University, China BE, Beijing Information Technology Institute, China His research examines IT's strategic role in organizational resilience, digital transformation, and healthcare systems. Key themes include: Digital transformation and sustainable performance IT governance in multihospital systems Mobile payments ecosystem dynamics Government-led e-commerce initiatives Recent publications highlight digital transformation trends, with keywords spanning Artificial Intelligence , Platform Strategy , and Organizational Change . His work appears in top journals like MIS Quarterly and Information Systems Research . Awarded by the College of Management for research (2017, 2020) and teaching excellence (2018), he also received recognition as Reviewer of the Year (2016) from the Journal of Strategic Information Systems . At UMass Boston, he teaches Introductory MIS , Database Management , and Health Analytics . His prior industry roles include IT consulting at BearingPoint and auditing at PricewaterhouseCoopers.

• Management
• International Business
• Strategic Management
• +2 more

Dr. M. Nate Xu serves as Assistant Professor of Management in the Department of Management, Marketing and General Business at West Texas A&M University's Paul and Virginia Engler College of Business, joining the institution in 2023. His educational foundation includes: Bachelor of Accounting, Beijing Jiaotong University (2014) Master of Business Administration (IT minor), University of Illinois at Urbana-Champaign (2016) Master of Auditing, Beijing Jiaotong University (2017) Ph.D. in Business Administration (International Business concentration), University of Illinois at Urbana-Champaign (2023) Dr. Xu's research centers on theoretical frameworks in organizational management, specifically resource dependence theory, resource redeployment theory, and institutional theory. His work bridges Strategic Management and International Business, examining how organizations navigate resource constraints and institutional pressures in global contexts. This dual focus reflects his educational trajectory across Chinese and American academic institutions. As an active member of both the Academy of Management and Academy of International Business, Dr. Xu engages with leading scholarly communities while developing his research program. His recent appointment positions him to build collaborative networks and pursue funding opportunities in management theory. Dr. Xu teaches Strategic Management and International Business courses, integrating his research expertise with practical business applications for students.