Find Academic Supervisors

• Health Equity
• Health Disparities
• Vulnerable Populations
• +5 more

Melanie Molina, MD, MAS is an Assistant Professor of Emergency Medicine at the University of California, San Francisco (UCSF) and Affiliate Faculty of the Philip R. Lee Institute for Health Policy Studies. She serves as Co-Director of the Social Emergency Medicine and Health Equity Section and holds a secondary appointment in the Department of Medicine’s Division of Clinical Informatics and Digital Transformation. Clinically, she works at Zuckerberg San Francisco General Hospital and UCSF Medical Center. National Clinician Scholars Program Fellowship (2023) MAS in Clinical Research, UCSF (2023) Residency in Emergency Medicine, Harvard Medical School (2021) MD in Medicine, The University of Texas at Austin (2017) BS/BA in Biology and Hispanic Studies, The University of Texas at Austin (2012) Dr. Molina’s research centers on leveraging technology to address social determinants of health in emergency settings, with a focus on vulnerable populations. Her work spans health equity, opioid use disorder interventions, microaggressions in healthcare, and clinical informatics. She pioneers EHR-enabled tools to integrate social care into emergency clinical workflows while minimizing clinician burden. Her NIH-funded projects emphasize practical solutions for racial and ethnic health disparities, particularly in vaccine delivery and social risk documentation. Her recent publications (2024-2025) reveal three dominant trends: (1) Integration of AI and informatics for social risk screening and clinical decision support, (2) Health equity interventions targeting vaccine hesitancy and long COVID disparities, and (3) Critical analysis of DEI implementation challenges in academic emergency medicine. The work consistently bridges technical innovation with community-centered approaches to address systemic inequities. National Institutes of Health NIDA Loan Repayment Award (2024-2025) National Hispanic Medical Association Top 40 Under 40 (2024) UCSF John A. Watson Faculty Scholar (2023) National Institutes of Health NIAID Loan Repayment Award (2022-2024) Academy for Women in Academic Emergency Medicine Outstanding Research Publication Award (2021) Harvard Medical School Presidential Scholars Public Service Initiative Award (2017) Dr. Molina actively mentors medical students, residents, and fellows in health equity research. As Principal Investigator on multiple NIH and foundation grants—including the Harold Amos Medical Faculty Development Program grant ($825,575, 2024-2028) and an NIH/NIDA K23 award (2024-2029)—she leads projects developing EHR-integrated interventions for social risk documentation and opioid use disorder treatment. Her PROBOOSTVAXED trial addresses vaccine hesitancy through ED-based delivery across eight U.S. cities. She co-directs the Social Emergency Medicine and Health Equity Section within UCSF’s Department of Emergency Medicine, collaborating closely with the Action Research Center for Health Equity and the Philip R. Lee Institute for Health Policy Studies. Her team integrates clinical informatics expertise with community health workers to develop scalable solutions for social risk mitigation in safety-net emergency departments.

Vipul JainView profile

Associate Professor

• Supply Chain Management
• Sustainability and Circular Economy
• Innovation and ICT
• +5 more

About Vipul Jain: Associate Professor Vipul Jain leads Supply Chain and Logistics Management at RMIT University’s School of Accounting, Information and Supply Chain Management. With over 20 years of academic experience, he has held senior roles at institutions like Victoria University of Wellington (NZ) and IIT Delhi (India), contributing to curriculum development, research strategy, and academic-industry collaboration. His international collaborations span over 20 global institutions, emphasizing interdisciplinary research in supply chain resilience, sustainability, and Industry 4.0. Education & Academic Leadership: Previously served as Programme Director for Master of Technology (Industrial Engineering) at IIT Delhi, leading the establishment of the Modelling and Analysis of Supply Chain (MASC) Lab. Holds editorial roles for journals like International Journal of Intelligent Enterprise and Computers & Industrial Engineering . Research Focus: Specializes in supply chain design, sustainability, circular economy, and business analytics. His work integrates ICT and big data to address complex supply chain challenges, with notable contributions to vaccine distribution, blockchain adoption, and post-pandemic resilience. Over 145 peer-reviewed publications, including high-impact journals like OMEGA and International Journal of Production Economics , reflect his prolific output. Industry Impact: Conducted management training for organizations like JCB and IBM. Served as an expert assessor for New Zealand’s Ministry of Business and Industry and advised the Indian Railways. His research has been funded by the Department of Science and Technology (India) and EU initiatives like FP6 I*PROMS. Awards & Recognition: Ranked #7 in India’s top logistics academics (2018), recipient of Literati Awards (2024, 2020), and multiple editorial leadership roles. Active in global conferences, including co-chairing ANZAM 2023. Labs & Collaborations: Founded MASC Lab at IIT Delhi. Collaborates with Coventry University, Monash University, Hong Kong Polytechnic, and institutions in Switzerland, Spain, Canada, and the U.S. Focus areas include sustainable supply chains, digital transformation, and crisis resilience.

• Project Management
• Operational Management
• Retail Logistics
• +3 more

Goran Avlijas serves as an Assistant Professor at Singidunum University's Faculty of Business in Belgrade, Serbia. His academic profile spans project management, operational research, and retail logistics with significant industry experience at Delta Holding, Strabag AG, and Efektus Consulting Group. His research interests focus on project management methodologies including Agile and Earned Value Management, retail operations optimization through automatic replenishment systems, and sustainable project control . Current work examines gig economy impacts on well-being and pandemic business resilience. Recent publications demonstrate strong emphasis on Quantitative project risk analysis using Monte Carlo simulation Retail inventory management and stock-out reduction Agile methodology implementation in Serbian business context Sustainable infrastructure project valuation Professional recognitions include: Project Management Professional (PMP) Professional in Business Analysis (PMI-PBA) Agile Certified Practitioner (PMI-ACP) He actively participates in Erasmus+ programs as both teacher and mentor, notably guiding Serbia's championship-winning team at the 2020 International Project Management Championships. His academic contributions include two textbooks on Project Management and Entrepreneurship, along with numerous international conference participations as scientific committee member and reviewer. Avlijas maintains strong industry-academia connections through PMI membership and consulting engagements, while contributing to higher education accreditation processes as a National Accreditation Body delegate.

Guy DavidView profile

Professor

• Health Economics
• Industrial Organization
• Applied Microeconomics
• +5 more

Guy David is the Alan B. Miller Professor of Health Care Management at the Wharton School and Professor of Medical Ethics and Health Policy at the Perelman School of Medicine, University of Pennsylvania. He chairs the Health Care Management Department and serves as a Research Associate at the National Bureau of Economic Research and Senior Fellow at the Leonard Davis Institute of Health Economics. Education: PhD in Business Economics, University of Chicago (2004) MA in Economics, Tel-Aviv University (1997) BA in Economics, Tel-Aviv University (1995) Research Interests: Applied microeconomics in healthcare markets Industrial organization and regulation of post-acute care Dynamics of mixed-ownership competition in healthcare Patient-centered medical care and welfare effects Emergency medical services economics Direct-to-consumer advertising and drug safety Division of labor in care continuum Publication Trends: His research focuses on antitrust implications in nonprofit hospitals, schedule volatility in healthcare workforce, performance pay incentives in Medicare, and pandemic-related healthcare disruptions. Recent work examines telemedicine adoption, preventive care disruptions, and provider-patient engagement length in home health care. Scientific Awards: National Bureau of Economic Research Dissertation Fellowship (2003-04) University of Pennsylvania Research Foundation Awards (2006, 2009) Leonard Davis Institute Pilot Project Awards (2007, 2009) NIH Grant (2008) Multiple Wharton Teaching Excellence Awards (2014, 2017, 2018) Leadership & Grants: He leads the Wharton-Anthem Research Initiative, co-edits the International Journal of Health Economics and Management , and was former director of the Health Care Management and Economics PhD program. His work has been funded by NIH, NBER, Leonard Davis Institute, and University of Pennsylvania.

• Dental Informatics
• Teledentistry
• Oral Health Policy
• +4 more

Professor Heiko Spallek is Head of School and Dean at the University of Sydney’s Sydney Dental School, leading the school’s integration with the Faculty of Medicine and Health. He also serves as Academic Lead for Digital Health and Health Service Informatics at the faculty level. His research focuses on advancing dental informatics, teledentistry, and evidence-based practice, while advocating for improved oral health policy and public health initiatives. He holds roles including director at Community Connections Australia and membership in the Charles Perkins Centre. Education: DMD, Dr. med. dent., MSBA(CIS), FACD, FAIDH Leadership: Oversees Sydney Dental School’s academic and clinical programs, emphasizing interprofessional education and digital health innovation. Research interests include leveraging big data and machine learning in dentistry, improving access to oral healthcare through teledentistry, and addressing systemic issues in dental education and policy. He has led projects on laser dentistry applications, dental caries prevention, and healthcare workforce regulation. Notable contributions include the OpenWide conference series, the BigMouth dental data repository, and advocacy for equitable dental funding in Australia. Grants include initiatives on oral hygiene in aged care and analysis of healthcare advertising perceptions. Media engagements highlight his role in public discourse on dental access and policy, including commentary on Australia’s dental crisis and aged care reforms. He actively promotes interdisciplinary collaboration through platforms like the Dental Informatics Online Community. Labs/Teams: Directs the Sydney Dental School’s research programs in informatics and public health, collaborating with national and international networks such as the National Dental PBRN.

Jens O. BrunnerView profile

Professor

• Healthcare Operations Management
• Operations Research
• Analytics
• +3 more

Jens O. Brunner is a Professor of Decision Science in Healthcare at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics. Previously, he held a professorship at the University of Augsburg until March 2023 and served as co-director of the University Center for Health Care (UNIKA-T) from 2013 to 2020. He earned his PhD from the TUM School of Management (2009) and a diploma in Business Administration from the University of Mannheim (2006). Roles: Professor, Department Editor for Health Care Management Science , and Associate Editor for multiple journals. Education: PhD in Management, TUM School of Management (2009) Diploma in Business Administration, University of Mannheim (2006) His research focuses on healthcare operations management and the application of quantitative methods to optimize service systems. Key areas include triage policies, staff scheduling, and AI-driven healthcare solutions. His work has contributed to improving resource allocation in hospitals and pandemic response strategies. Notable awards include the Harold W. Kuhn Award (2015) and the IISE/SSE Outstanding Innovation Award (2022). His research has been published in journals like IIE Transactions and European Journal of Operational Research . He supervises PhD students in projects such as AI-integrated pooling strategies and resource optimization in healthcare. His involvement in interdisciplinary collaborations and editorial roles highlights his leadership in advancing healthcare operations research.

• Operations Management
• Manufacturing Systems
• Supply Chain Management
• +5 more

Sunder Kekre is the Vasantrao Dempo Professor of Operations Management at Carnegie Mellon University’s Tepper School of Business , where he has held academic appointments since 1984. His research focuses on manufacturing systems, global supply chains, and healthcare operations management. Research Expertise : New product development structures, strategic costing, lean innovation, knowledge sharing in enterprise networks, and business analytics for coordinated supply chains. Key Publications : Contributions to journals like Management Science , Operations Research , and Production and Operations Management , with work on LNG storage valuation, RFID logistics, and healthcare disparities. Scientific Recognition : Dempo Chair Professorship Bosch Chair Professorship Best Paper Award (1995) Teaching : Courses in Operations Management, Strategic Management of the Enterprise, and Information Systems Project. Non-Academic Experience : Prior engineering roles at Tata Steel (1974-1980) and consulting engagements with Fortune 500 firms like Bosch, Caterpillar, and IBM.

Maia AngelovaView profile

Professor

• Artificial Intelligence in Healthcare
• Data-Driven Models
• Machine Learning
• +7 more

Professor Maia Angelova is a leading academic in data science and mathematical physics at Aston University's Aston Digital Futures Institute (ADFI) and College of Engineering and Physical Sciences. Her research focuses on interdisciplinary AI applications in healthcare, including precision medicine, chronic disease modeling, and athlete performance analytics. She previously held roles as Professor of Data Analytics at Deakin University (2017–2023) and Professor of Mathematical Physics at Northumbria University (1997–2016), with early experience as a College Lecturer at Oxford University (1991–1996). Education: PhD, MSc, and BSc in Physics from Sofia University 'St. Kliment Ohridski'. Research interests span AI-driven healthcare solutions, dynamical systems modeling, and sports performance analysis. Her work addresses sleep disorders, diabetes management, chronic pain, and athlete performance using advanced machine learning and data analytics. She has secured over £5M in research funding and supervised over 30 PhD students and postdoctoral researchers. Awards include Fellowship of The Institute of Physics. Professional memberships include The London Mathematical Society, Australian Mathematical Society, and Complex Systems Society. Key achievements include founding the Data to Intelligence research centre (2018–2020) and leading large-scale interdisciplinary projects. Current initiatives focus on precision healthcare through AI integration in clinical decision-making systems.

• Learning Engineering
• Technology-Enhanced Learning
• Question-Based Learning
• +12 more

Olof Bälter is a Professor in Computer Science at KTH Royal Institute of Technology, affiliated with the Division of Media Technology and Interaction Design within the School of Electrical Engineering and Computer Science. He is the founder of the Technology-Enhanced Learning research group and holds a focus on learning engineering and human-computer interaction. His research interests center on technology-enhanced learning , question-based learning , learning analytics , AI in education , and inclusive pedagogy . A consistent theme in his work is improving efficiency in education and daily life through digital tools. He developed the Pure Question-Based Learning (Pure QBL) methodology, a digital Socratic approach that enhances student engagement and learning outcomes. His work extends to wellness in education through initiatives like walking seminars, and he investigates digital interventions for mental health, such as online Cognitive Behavioral Therapy (CBT) courses. His recent publications highlight trends in AI-generated educational content , learning efficiency , digital pedagogy , and inclusive course design , with applications in computer science education, language instruction, and global development. His research often employs experimental and data-driven methods, including randomized controlled trials and learning analytics. Teacher of the Year at the Surveying program KTH's Pedagogical Prize Higher Education Hero STINT Excellence in Teaching Scholarship (2008 and 2013) Olof Bälter has supervised numerous courses in programming, computer science, media technology, and learning engineering. He has collaborated with institutions such as Stanford University, Williams College, Region Stockholm, Stockholm University, and organizations like Promobilia and Begripsam. His projects aim to scale effective learning methods globally and make education more accessible and efficient. He leads research on the effectiveness of Pure QBL for students with ADHD and is involved in developing digital tools for health literacy and professional development in Ethiopia and Rwanda. His work bridges theory and practice, aiming to transform educational delivery through innovation and evidence-based design.

Sara J BeckerView profile

Professor

• Implementation Science
• Public Health
• Substance Use Disorders
• +3 more

Dr. Sara J Becker is a licensed clinical psychologist and implementation scientist at Northwestern University's Feinberg School of Medicine. She serves as the Inaugural Director of the Center for Dissemination and Implementation Science within the Institute for Public Health and Medicine (IPHAM) and holds the Alice Hamilton Professor of Psychiatry title. Her work bridges research and practice, focusing on equitable adoption of evidence-based treatments in community and clinical settings. Education: BA from Dartmouth College (2000), PhD in Clinical Psychology from Duke University (2009), internship at McLean Hospital/Harvard Medical School (2009), and postdoctoral fellowship at Brown University (2011). Dr. Becker’s research spans patient-focused dissemination strategies (e.g., technology-assisted interventions) and provider-focused implementation approaches (e.g., workforce development). Her recent publications highlight innovations in youth substance use treatment, cancer care, HIV prevention, and school-based mental health interventions, emphasizing equitable healthcare access. She has received prestigious awards, including the NIDA MERIT Award (2021) and the Society for Implementation Research Collaboration’s Best Research Symposium Award (2022). Dr. Becker co-leads two NIH-funded centers advancing implementation science and mentors extensively in the field. Scientific Advisory Roles: Substance Abuse and Mental Health Services Administration (2023-2024) NIDA Merit Award Advisory Board (2022-2023) Dr. Becker actively contributes as an editorial board member for Contemporary Clinical Trials and Journal of Substance Use & Addiction Treatment . She also serves on national conference planning committees and NIH review panels.

Michele J. GelfandView profile

Professor

• Cross-Cultural Organizational Behavior
• Negotiation
• Conflict Management
• +5 more

Michele Gelfand is a Professor of Organizational Behavior at the Stanford Graduate School of Business and Professor of Psychology by courtesy at Stanford University . She is renowned for her research on cross-cultural organizational behavior, negotiation, conflict management, and cultural psychology. Her work explores the concept of tight and loose cultures and their impact on global leadership, organizational dynamics, and societal responses to threats. PhD in Social and Organizational Psychology, University of Illinois, Urbana-Champaign (1996) Her research spans interdisciplinary approaches, integrating computational methods, neuroscience, and behavioral science to understand cultural evolution and its multilevel consequences. She has led groundbreaking studies on the effects of cultural tightness-looseness on political polarization, pandemic responses, and corporate mergers. Recent publications highlight her work on social norm dynamics, threat-driven cultural adaptation, and the psychological underpinnings of political and terrorist ideologies. Her articles frequently appear in top journals such as Science , Nature Human Behaviour , and Proceedings of the National Academy of Sciences . Notable scientific awards include the 2020 Katzell Award , 2016 Diener Award , and 2011 Anneliese Maier Research Award . She has also been elected to the National Academy of Sciences and the American Academy of Arts and Sciences . Gelfand’s Culture Lab at Stanford investigates topics like cultural norms, revenge, forgiveness, and diversity. She actively mentors postdoctoral researchers and serves as an editor for the Oxford Handbook of Cross-Cultural Management . Her executive education programs focus on global leadership and negotiation strategies.

• Big Data
• Business Analytics
• Healthcare Analytics
• +4 more

Haipeng Shen is a Professor of Innovation and Information Management at HKU Business School, The University of Hong Kong, serving as Associate Dean (EMBA and IMBA) and holding the Patrick S C Poon Professorship in Analytics and Innovation. He chairs the Business Analytics and Innovation program and joined HKU in 2015 after previously holding a professorship at the University of North Carolina at Chapel Hill. His academic credentials include: PhD in Statistics, The Wharton School of Business, University of Pennsylvania, 2003 MA in Statistics, The Wharton School of Business, University of Pennsylvania, 2000 BS in Mathematics, School of Mathematical Sciences, Peking University, 1998 Professor Shen's research focuses on data-driven decision making under uncertainty, with expertise spanning big data analytics, business analytics, healthcare analytics, and service engineering. He develops advanced statistical and machine learning methodologies to solve complex operational problems in call centers, optimize stroke care protocols, and enhance financial risk modeling, emphasizing real-time applications in high-stakes environments. Analysis of his recent publications reveals a consistent interdisciplinary approach bridging operations research, statistics, and domain-specific knowledge. His work demonstrates strong methodological innovation in time-series forecasting for service systems, risk assessment frameworks for medical complications, and covariance structure analysis for financial markets, with direct translational impact on business operations and clinical outcomes. His scientific contributions have been recognized with prestigious awards including: Most Influential Publication Award from China Stroke Association (2018) Fellow of the American Statistical Association (2015) Best Advisor of the Year Award from Academy of Asian Business (2018) Elected Member of International Statistical Institute (2015) Cluster Chair for Big Data Analytics at INFORMS International (2015) As an academic leader, Professor Shen has secured significant research funding from organizations including The Xerox Foundation and National Institute on Drug Abuse. He serves as Associate Editor for Management Science, Journal of the American Statistical Association, and Technometrics, while mentoring graduate students in statistical methodology and applied analytics. His current initiatives position HKU Business School at the forefront of healthcare innovation through big data analytics, driving collaborations with medical institutions to transform stroke care and hospital operations in Asia.

Lynn WuView profile

Associate Professor

• Artificial Intelligence
• Enterprise Social Media
• Innovation
• +6 more

Lynn Wu is an Associate Professor at the Wharton School of the University of Pennsylvania, focusing on the intersection of artificial intelligence, analytics, and innovation. She teaches MBA, undergraduate, and doctoral courses on emerging technologies' transformative impact on business and society. Education: B.S. in Finance and Computer Science, MIT M.S. in Computer Science, MIT Ph.D. in Management Science, MIT Sloan Her research explores how AI and digital platforms reshape productivity, workforce dynamics, and innovation strategies, with applications in antitrust policy and startup ecosystems. Key trends in her publications include AI's role in post-IPO innovation, robotics' impact on managerial roles, and social media's ability to mitigate funding disparities. Scientific Awards: Kauffman Best Paper Award (2019) Sandy Slaughter Early Career Award (2019) AIS Early Career Award (2018) ISR Best Published Paper (2014) Best Paper Awards at ICIS (2009), HICSS (2013), etc. She has collaborated with IBM, Google, Meta, and advised the U.S. Department of Justice and World Bank, with her work cited by The New York Times , The Economist , and Harvard Business Review .

Craig A. BondView profile

Professor

• Natural Resource Economics
• Environmental Economics
• Stochastic Dynamic Modeling
• +6 more

Craig A. Bond is a Professor at the RAND School of Public Policy, a Senior Economist at RAND Corporation, and Editor-in-Chief of the RAND Journal of Economics. His work bridges military resource allocation and environmental economics through advanced econometric modeling. Current Roles: Research QA Manager (RAND Arroyo Center), Senior Economist Methodological Expertise: Stochastic dynamic programming, discrete choice modeling, non-market valuation Key Research Themes: Military readiness, coastal resilience, green infrastructure, post-disaster recovery Research Interests: Craig Bond specializes in natural resource economics , environmental economics , and applied welfare economics , with recent work focusing on: Risk modeling for defense acquisitions and personnel strategy Resilience dividend valuation frameworks Green infrastructure cost-benefit analysis Climate adaptation in coastal communities Publication Trends: His 15 most recent works (2017-2025) show interdisciplinary focus across: Military Economics: Recruiting optimization, training requirements, economic multipliers Environmental Policy: Coastal land loss, invasive species impact, water management Resilience Modeling: Disaster recovery frameworks, adaptive systems

Maria C.W. PeetersView profile

Professor

• Workforce Sustainable Performance
• Diversity Management
• Worker Health and Well-being
• +6 more

Maria C.W. Peeters serves as a Full Professor at Eindhoven University of Technology (TU/e) within the Department of Industrial Engineering and Innovation Sciences, specifically the Human Performance Management Group. She concurrently holds an Associate Professor position at Utrecht University in the Department of Social, Health and Organizational Psychology, reflecting her dual institutional engagement in Work and Organizational Psychology. Her educational background includes: MSc in Health Sciences from Maastricht University PhD from Radboud Universiteit Nijmegen (dissertation: effect of social support on work stress) Peeters' research investigates sustainable workforce performance through the critical lens of worker diversity in high-tech environments. She specializes in worker (ill)health and well-being, work engagement, sustainable employability, job crafting interventions, work-life balance dynamics, and tailored technological innovation implementation. Her work emphasizes adapting technologies to accommodate older workers, those with lower educational levels, and disabilities to extend labor market participation. Recent publications (2025) analyze psychosocial safety climate and the DISC model for office workers, while earlier studies (2018-2015) focused on job crafting transmission and intervention efficacy. Her research consistently employs quantitative methodologies like regression analysis within the Job Demands-Resources framework, addressing sustainable performance threats from rapid technological implementation. No specific scientific awards or prizes are documented in the provided text. Peeters has published over 100 national and international articles and book chapters, with 75 research outputs listed in TU/e's repository. She co-edited the textbook "An Introduction to Contemporary Work Psychology" (Wiley Blackwell, 2014) and serves on editorial boards for Work & Stress and Gedrag en Organisatie (Dutch Journal of Behaviour in Organizations). Her academic leadership includes presidency of the Dutch Association of Work & Organizational Psychology since 2018. She operates within the Human Performance Management Group at TU/e, which studies workforce optimization through health, engagement, and sustainable employability metrics in digitized workplaces.