Abhijit Banerjee is a Professor in the Department of Economics at the Massachusetts Institute of Technology (MIT). His research focuses on development economics, public health policy, and social protection programs, particularly addressing poverty and inequality in low- and middle-income countries. He has conducted large-scale experiments evaluating interventions such as conditional cash transfers, universal basic income, and healthcare policies. Key areas of interest include the design and implementation of anti-poverty programs, behavioral economics, and the long-term health impacts of infectious diseases like COVID-19. His work often integrates experimental methods to assess policy effectiveness, with contributions to global health studies and economic development strategies. Notably, his research on the RECOVERY trial evaluates treatments for hospitalized COVID-19 patients, while other studies explore financial spillover effects of electronic government transfers in Indonesia and savings behavior interventions in Chile. Banerjee has collaborated on projects analyzing post-COVID-19 health outcomes, labor market dynamics in India, and the role of trusted messengers in public health communication during crises. Despite the breadth of his contributions, specific details about his educational background, grants, or lab affiliations are not explicitly provided in the source text.
Dr. Carolyn Emery is a Professor in the Faculty of Kinesiology at the University of Calgary, with joint appointments in Pediatrics and Community Health Sciences at the Cumming School of Medicine. She holds leadership roles as Chair of the Sport Injury Prevention Research Centre (an International Olympic Committee Research Centre) and the Alberta Children’s Hospital Research Institute. Her affiliations include the McCaig Institute for Bone and Joint Health, Hotchkiss Brain Institute, and O’Brien Institute for Public Health. Dr. Emery’s education includes a BScPT from Queen’s University (1988), MSc in Epidemiology from the University of Calgary (1999), and PhD in Epidemiology from the University of Alberta (2004). Her research focuses on injury prevention in youth sports, concussion, and pediatric rehabilitation, aiming to reduce long-term health consequences such as osteoarthritis and post-concussion syndrome. She leads major grants including CIHR’s “SHRed Injuries” and NFL-funded concussion surveillance programs. Her research interests emphasize practical interventions for injury prevention, including neuromuscular training and policy changes. Recent work explores concussion outcomes in adolescents, biomechanical injury mechanisms, and global sport safety initiatives. She has published extensively on topics like sport-related musculoskeletal injuries, concussion management, and the epidemiology of youth sports. Dr. Emery has received over 20 awards, including the Royal Society of Canada Fellowship, Killam Professorship, and CIHR Canada Research Chair. Her work bridges clinical practice, policy, and community engagement to enhance public health outcomes in sports and youth recreation. Her lab, the Sport Injury Prevention Research Centre, collaborates internationally to develop evidence-based strategies for injury prevention. Current projects include evaluating the impact of tackle laws in rugby, head acceleration in wrestling, and long-term consequences of pediatric concussions.
Dr. Jimeng Sun is a Health Innovation Professor at the Siebel School of Computing and Data Science and Carle Illinois College of Medicine at the University of Illinois Urbana-Champaign. Co-founder of Keiji AI , he leads groundbreaking research at the intersection of artificial intelligence and healthcare, actively deploying clinical AI systems and developing frameworks like PyHealth and Therapeutics Data Commons . His research spans four major areas: Clinical AI Systems : Developing interpretable models (e.g., RETAIN) for patient similarity, temporal event prediction, medication recommendation, and clinical outcome forecasting Drug Discovery : Creating molecular optimization frameworks, drug-target interaction models, and AI-driven platforms Clinical Trials : Pioneering patient-trial matching, outcome prediction, and optimization frameworks using deep learning and graph neural networks Biosignal Analysis : Advancing sleep staging, seizure classification, and automated EEG/Cardiac monitoring systems With over 500 top-tier publications (including in Nature , NEJM AI , and leading AI conferences) and an h-index of 99, his work has been recognized with the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare award. He maintains active collaborations with institutions like Massachusetts General Hospital , Medidata Solutions , and OSF Healthcare . His recent publications reveal a strong focus on: Reinforcement learning applications in medical data analysis Large language model adaptation for clinical tasks Knowledge graph integration with AI systems Synthetic data generation for healthcare Multi-modal learning in clinical contexts Explainable AI for medical applications Dr. Sun's lab ( Sunlab ) emphasizes practical impact over theoretical work, actively collaborating with hospitals and healthtech companies. He welcomes contributions from clinicians, researchers, and industry partners through initiatives like his AI for Health webinar series .
Anna S. Mattila is the Marriott Professor of Lodging Management and serves as Professor-in-Charge of the Graduate Program at the School of Hospitality Management, Pennsylvania State University. Her research spans social media, service recovery, servicescape, prosocial behaviors, cross-cultural studies, and wellness in hospitality contexts. Education : B.S. and Ph.D. from Cornell University, M.B.A. from University of Hartford Mattila's work examines how emotions, cultural norms, and technological innovations like AI influence consumer decisions in hospitality. Her studies cover topics from robotic service interactions to sustainable food marketing and moral psychology in tourism. She has published extensively in journals such as International Journal of Hospitality Management and Journal of Consumer Marketing . Her recent articles focus on AI integration in hospitality, consumer trust in virtual influencers, upcycled food adoption, and the psychological effects of servicescape design. Key themes include ethical consumption, digital transformation, and cross-cultural consumer behavior. Advising : Supervised Anqi Luo's dissertation on service recovery in 2022 Mattila's office is located in 224 Mateer Building, University Park, PA. She contributes to advancing hospitality research through methodological consulting and the Penn State Biomarker Core Laboratory.
Prof. Magnus Fröhling is a Full Professor of Circular Economy and Sustainability Assessment at the Technical University of Munich (TUM), leading the Chair of Circular Economy and Sustainability Assessment at TUM Campus Straubing. He holds a doctorate and habilitation from the Karlsruhe Institute of Technology (KIT), specializing in material flow analysis and resource efficiency. His career includes roles as a professor at TU Bergakademie Freiberg before joining TUM in 2018. Fröhling’s research focuses on quantitative approaches for circular economy systems, including industrial value chains, built environments, and bioeconomy. He co-leads the TUM Mission Network Circular Economy, an interdisciplinary platform for research and innovation. **Education:** Bachelor/Master in Industrial Engineering, Karlsruhe University (TH) PhD in Industrial Engineering (2005), Karlsruhe University Habilitation in Business Administration (2011), KIT **Research Interests:** Circular economy concepts for automotive industry, buildings, and energy systems; sustainability assessment in bioeconomy; policy instruments for resource efficiency. His work emphasizes lifecycle analysis and closed-loop systems. **Awards:** TUM Sustainability Award (2021) and recognition for groundbreaking research on sustainability in industrial biotechnology (2020). **Advising & Grants:** Leads research initiatives like CirculaTUM, focusing on interdisciplinary collaboration. His work integrates policy analysis, technological innovation, and industrial ecology to advance sustainability goals. **Labs/Teams:** Active in TUM’s Green Fuel Center and SynBioFoundry@TUM, promoting sustainable energy and biotechnology solutions.
Elena Agapie is an Assistant Professor in the Department of Informatics at the Donald Bren School of Information & Computer Sciences, University of California, Irvine. Her research lies at the intersection of human-computer interaction (HCI), health, and behavior change, focusing on designing technologies that support individuals in adopting and maintaining healthy behaviors through human-centered approaches. She is affiliated with the Connected Learning Lab and the Institute for Future Health at UCI. Her educational background includes a PhD in Human Centered Design and Engineering from the University of Washington, an MS in Computer Science from Harvard University, and a BS in Computer Science from Jacobs University Bremen in Germany. She has also conducted research at Microsoft Research, FXPAL, Intel Labs, and NASA Jet Propulsion Lab. Elena's research focuses on designing tools that integrate evidence-based behavioral interventions with user needs, particularly in mental health, chronic disease management, and social support systems. She explores how technology can support therapist-client collaboration, enable tailored health interventions, and leverage crowd expertise for personalized behavior change plans. Her work often involves participatory design, qualitative studies, and prototyping of interactive systems for diverse populations, including youth, hospitalized patients, and underserved communities. Her recent publications, primarily in top-tier venues like CHI and CSCW, reflect a strong trend toward social computing in health, longitudinal behavior support, and the design of inclusive digital health tools. Key themes include goal setting, conversational agents, social sharing in health tracking, and cross-disciplinary collaboration in health technology development. Best Paper Award (top 1%) at CHI 2017 Honorable Mention Best Paper Award (top 5%) at CHI 2016 Best Paper Award (top 1%) at HCOMP 2015 Honorable Mention Best Paper Award (top 5%) at CHI 2013 Elena has been funded by the National Science Foundation, National Institutes of Health, and UCI internal grants. She actively mentors PhD students including Bruna Oewel, Meeshu Agnihotri, and Mehreen Masood, and is currently recruiting students interested in HCI, health, and behavior change. She previously led the outreach program in the HCDE department at the University of Washington, creating workshops that introduced K–12 students to engineering and human-centered design, reaching over 2,000 students across public schools and community events. She runs initiatives to broaden participation in computing and advises undergraduate students in outreach and curriculum development. Her lab collaborates with clinical partners and interdisciplinary teams to ensure real-world impact of her research.
Joel Goh is Associate Professor at the Department of Analytics and Operations, NUS Business School, National University of Singapore. He serves as Director of the J.Y. Pillay Comparative Asia Research Centre (under NUS Global Asia Institute) and PhD Program Director at the Institute of Operations Research and Analytics (IORA). Previously, he was Assistant Professor at Harvard Business School (2014-2017) and Visiting Scholar (2017-2022). BSc, MSc, PhD in Operations, Information, and Technology from Stanford University His research focuses on healthcare analytics (preventing health conditions, hospital operations, frailty assessment), supply chain analytics (digital business models, platform leakage), and service platform operations (hospital-at-home programs, incentive design). He co-created the Robust Optimization Made Easy (ROME) software. Recent publications analyze workplace psychological safety (2024), hospital-at-home models (2024), and platform leakage dynamics (2023). His work spans 18+ journals with 740+ citations for burnout cost studies (2022) and 606+ citations for physician well-being research (2017). Teaching Honors : 2023: Best MBA Teaching & Skinner Innovation Award 2021: NUS Annual Teaching Excellence Award 2020: Early Career Research Excellence Award & 40 Under 40 Best MBA Professors Advising & Grants : Served as PhD Program Director. Received NUS Start-Up Grant R-314-000-110-133 (2021) and Humanities & Social Sciences Fellowship (2021). Editorial roles include Associate Editor at Management Science , Manufacturing & Service Operations Management , and Senior Editor at Production and Operations Management .
Samir Dani is a Professor of Operations and Supply Chain Management at Keele University’s Keele Business School. He holds Chartered Manager status and is a Fellow of multiple professional bodies, including the Higher Education Academy and Chartered Institute of Logistics and Transport. Prior to academia, he worked in India’s automotive industry. His research focuses on supply chain resilience, sustainability, food logistics, and Industry 4.0 technologies like AI and Blockchain. Affiliations: Keele University (current), University of Huddersfield (2014–2019), Loughborough University (2005–2008) Leadership: Former Head of Logistics, Marketing, Hospitality, and Analytics Department at University of Huddersfield Industry Engagement: £5M Leeds City Region LEP Supply Chain Program, UK-India trade advisory roles Research Interests: Supply chain risk and resilience Food supply chain sustainability AI, IoT, and Blockchain applications Industry 4.0 transformations Recent Article Trends: Focus on climate action impacts, blockchain trust mechanisms, and SME net-zero strategies. His work bridges academic theory with industry challenges, emphasizing technology adoption and sustainability. Awards: Prix des Associations (2015), UK Top 100 Logistics Professional (2017/18) Grants: £800K+ from EPSRC, IMCRC, and KTP Advisory Roles: Editorial Board member of Supply Chain Management: An International Journal, Academic Review Board member of International Journal of Operations and Production Management.
Jenna Wiens is an Associate Professor of Computer Science and Engineering at the University of Michigan's College of Engineering. She serves as Associate Director of the Artificial Intelligence Lab and co-Director of AI & Digital Health Innovation. Leading the MLD3 research group, her work focuses on machine learning and AI applications for healthcare data. PhD from MIT (2014) under John Guttag NSF CAREER Award recipient (2016) Humboldt Foundation Carl Friedrich von Siemens Award (2024) Her research addresses four key technical thrusts: Time-series analysis for predicting clinical outcomes Robust machine learning against spurious correlations Decision-making with causal inference and offline reinforcement learning Human-AI collaboration frameworks Notable methodological contributions include the FIDDLE preprocessing pipeline for clinical time-series data, foundational work on survival analysis, and novel approaches to model selection in healthcare reinforcement learning. Her work has led to real-world AI deployments in infection prevention and patient risk stratification. Scientific honors include: Forbes 30 Under 30 (2015) MIT Tech Review 35 Innovators Under 35 (2017) Sloan Research Fellowship in Computer Science (2020) Sarah Goddard Power Award (2023) Wiens collaborates with clinicians across disciplines, emphasizing clinician-in-the-loop AI systems and ethical implementation in healthcare workflows.
Dr. Louise Alexander is an Associate Professor in Mental Health Nursing at Deakin University's School of Nursing & Midwifery (Faculty of Health). She holds prior academic roles including Senior Lecturer (ACU, 2018–2023) and Lecturer positions (ACU and Holmesglen Institute). Her research focuses on mental health nursing workforce sustainability, stigma reduction, simulation-based education, and curriculum development. Key interests include nurse resilience, pandemic impacts on healthcare workers, and improving student attitudes towards mental illness. Education: PhD from Deakin University; GCHE qualification Certifications: University of Melbourne's Emerging Leaders & Management Program (2021–2022) Teaching: Leads courses in forensic mental health, therapeutic communication, and health promotion Research Highlights: Recent work examines pandemic trauma among nurses, alcohol consumption trends post-COVID, and leadership's role in workforce retention. Her studies emphasize qualitative methods and integrative reviews to address systemic challenges in mental health nursing education and practice. Awards/Grants: No explicit awards listed; research supported by institutional collaborations. Active in developing transition-to-practice programs and evaluating simulation-based training efficacy. Labs/Teams: Collaborates with interdisciplinary teams on mental health workforce resilience and stigma reduction initiatives. Engages in national and international nursing education networks.
Allan Larsen is a Professor and Deputy Head of Division at the Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark. He heads the Operations and Supply Chain Management Section. His academic background includes an MSc in Applied Mathematics and a PhD in Operations Research, both from DTU. He teaches courses in Operations Management and Simulation at both undergraduate and graduate levels. Research Focus: His work applies operations research methodologies to complex planning problems in supply chain management, logistics, healthcare operations, and public transport. Key areas include urban freight transport, healthcare supply chains, and optimization of public transport resources like crew and fleets. Collaborations with industries, especially in freight transport, have been extensive. He previously co-directed the Transport DTU research center and co-chaired Denmark’s Transport Innovation Network. Education: MSc in Applied Mathematics (1989–1995), PhD in Operations Research (1997–1999), both from DTU. Recognition: Recipient of the Hedorf’s transportpris award in 2022 for contributions to transport research. Research Projects: Supervises multiple PhD students (e.g., on electric freight transport, healthcare resource optimization, and Industry 4.0 applications). Active in projects like 'Pioneering Electric Heavy-Duty Freight Transport' and 'Resource optimization in healthcare.' Labs/Teams: Leads the Operations and Supply Chain Management research group and collaborates in initiatives like the Transport Innovation Network, focusing on sustainable transport solutions.
Jacky Bourgeois is an Assistant Professor of Data-Centric Design at Delft University of Technology's Faculty of Industrial Design Engineering (IDE), leading the Data-Centric Delft Design Lab. His work bridges Human-Computer Interaction, Data Science, and Participatory Design, focusing on methods like data donation to empower collaborative data exploration. He holds a computer science background, previously researching ubiquitous technologies for domestic energy practices of 'energy farmers' (solar households). Key projects include the PROMISE study on patient-led oncological care and the Data Donation initiative promoting ethical data practices. Education: Background in Computer Science; academic focus on sustainable design engineering and IoT. Teaching includes courses like 'Data-Centric Design for...' (2024) and 'Digital Product Development' (2023). Research Interests: Data as subjective inquiry material, data intimacy, data commons, and human-data interaction in home contexts. Notable contributions include PAIRcolator for collaborative data reflection and Tangi for 360° video insights. Awards include Best Paper at CHI 2025 and DIS '24 Best Paper. Grants & Collaborations: NWO-funded research on hospital sounds (2024), IoT Rapid Proto Labs for industry-academia partnerships, and ancillary role as a scientific employee at The Open University (2025–2027). Labs & Teams: Director of the Data-Centric Delft Design Lab; collaborates with the HCI Data & Design SIG. Current projects address ethical frameworks for data donation and patient-centered healthcare systems.
Professor Shaun Larkin is a part-time academic at the School of Public Health , University of Sydney, specializing in Health Policy and Financing . He is affiliated with the Leeder Centre for Health Policy, Economics and Data and a member of the Charles Perkins Centre . With a career spanning executive roles at HCF and non-executive directorships in health startups, his work bridges academia and industry. Education : Harvard Business School alumnus with a HlthScD, MBA, MHSc, and BHA. His research focuses on health economics , health policy , and health services management , emphasizing: Translational research in healthcare financing Trends in private-public healthcare partnerships Price transparency in private health insurance Leadership in health systems Chronic disease management Quality use of medicines His publications reveal a trajectory from foundational work in: Psychiatric services data standardization (2000) Heart disease and diabetes management (2013-2015) Telehealth interventions (2017-2018) Private sector policy frameworks (2019-2020) Saudi Arabian health reforms (2022-present) Private equity in healthcare (2025) As an advisor, he currently supervises research students on topics including: Quality use of medicines in Saudi Arabia Sustainable financial models for private hospitals Patient-reported outcome measures in Australia He also contributes to the Leeder Centre and engages with global health startups as an investor and advisor.
Pinchuan Ong is an Assistant Professor in the Strategy and Policy Department at the National University of Singapore (NUS) Business School. He holds dual bachelor’s degrees from NUS (B.Eng. and B.Soc.Sci.) and a Ph.D. in Economics from Northwestern University. Prior to academia, he worked as an economist at Singapore’s Ministry of Trade and Industry. His research focuses on labor economics, public economics, and applied microeconomics. Key areas include labor supply disincentives from child support obligations, taxation effects on labor participation, automation’s impact on labor markets, and the socioeconomic consequences of energy pricing on health outcomes. He has investigated winter mortality linked to heating costs and housing market risks influencing labor demand. Recent research trends emphasize policy-relevant analyses of taxation, automation, and public goods provision. His work bridges theoretical economic frameworks with empirical policy evaluation, often addressing labor market dynamics and welfare outcomes. Ong’s upcoming speaking engagements include the Hong Kong Labor Symposium (June 2024), ROCKWOOL Foundation visits in Berlin, and the BSE Summer Forum in Barcelona. He is open to collaborations during these travels. His full CV and publications are accessible via his personal webpage.
Dr. Kenan Arifoglu is an Associate Professor at the UCL School of Management. He previously held a postdoctoral position at the Ross Business School, University of Michigan (2008–2012). His education includes a PhD in Industrial Engineering and Management Sciences from Northwestern University (2012), two MSc degrees from Northwestern University (2008) and Koç University (2007), and a BSc from Koç University (2005). His research focuses on behavioral motivations in healthcare, supply chains, pricing, and entrepreneurial operations. Key projects include analyzing inefficiencies in flu vaccine supply chains and developing frameworks for high-growth startups. His work bridges operations management with practical challenges in healthcare, retail, and entrepreneurship. Recent publications address topics such as luxury brand licensing dynamics, incentive programs in healthcare systems, and the theoretical foundations of lean startup methodologies. These contributions span disciplines like marketing, operations research, and public health, emphasizing cross-sectoral applications. Dr. Arifoglu’s advising and grant activities are not detailed here. He is affiliated with the UCL School of Management and actively contributes to academic discourse through his research and teaching roles.
