Anu Ramaswami is the Sanjay Swani ’87 Professor of India Studies and Professor of Civil and Environmental Engineering at Princeton, directing the M.S. Chadha Center. She leads research on sustainable, equitable urban systems, integrating infrastructure, food, energy, and water policies. Her work employs nexus modeling to co-produce decarbonization pathways with global cities, emphasizing health, equity, and resilience co-benefits. Recent projects analyze fine-scale urban metabolism and heat vulnerability in India. Awards include the AAEES Science Award (2022) for interdisciplinary impact. She chairs the Urban Nexus Lab, advancing data-driven urban transitions.
Hamsa Bastani is an Associate Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania, with a secondary appointment in Statistics and Data Science. She co-directs the Wharton Healthcare Analytics Lab and serves as an Associate Editor for Operations Research, M&SOM and OR Letters. Her academic journey began with summa cum laude graduation from Harvard in 2012 with an A.M. in physics and A.B. in physics and mathematics. She completed her PhD in Stanford's Electrical Engineering department under Mohsen Bayati, followed by a Herman Goldstine postdoctoral fellowship at IBM Research. Professor Bastani's research focuses on developing novel machine learning algorithms for data-driven decision-making, with applications spanning healthcare operations, social good, and revenue management. Her work demonstrates particular expertise in sequential decision-making (bandits, reinforcement learning), learning from auxiliary data sources (transfer learning, meta-learning), and designing effective human-AI interfaces (interpretability, fairness). She has made significant contributions to understanding how AI systems affect and augment human behavior, with the goal of designing AI tools that help humans thrive. Her publications reveal a strong trend toward high-impact applications of machine learning in critical societal domains. A significant portion of her recent work focuses on healthcare applications, including optimizing health supply chains in low- and middle-income countries, designing clinical trial protocols, and creating targeted public health interventions. Another major theme examines the complex relationship between humans and AI systems, particularly how AI affects learning outcomes and decision-making processes. Her work frequently bridges theoretical advances with practical implementation, as evidenced by country-scale deployments in Greece and Sierra Leone. Wagner Prize for Excellence in Operations Research Practice (2021) Pierskalla Award for Best Paper in Healthcare (2021, 2019, 2016) Behavioral OM Best Paper Award (2021) Public Sector in OR Best Paper Award (2024) INFORMS Data Mining Best Paper Award (2022) Wharton Teaching Excellence Award (2019, 2020, 2021) Professor Bastani has advised numerous PhD students who have gone on to prominent positions, including Pia Ramchandani (Director of Responsible AI at PwC), Arielle Anderer (Assistant Professor at Cornell Johnson), and Kan Xu (Assistant Professor at ASU Carey). Her research has been supported by collaborations with national governments, including the Greek government where she co-designed Eva, the national-scale reinforcement learning system for targeted COVID-19 testing, and the Government of Sierra Leone where she improved patient access to essential medicines by nearly 20% via decision-aware learning. She has also conducted the first large field study deploying generative AI tutors in high school math classes. She leads the Wharton Healthcare Analytics Lab and serves on the Steering Committee for the Penn Center for Health Incentives and Behavioral Economics and on the statistics advisory committee for the AHA Food is Medicine Initiative. Outside academia, she serves on the Workday AI Advisory Board, demonstrating her commitment to translating academic research into practical applications.
Dr. Matloob Khushi serves as a Senior Lecturer in Computer Science at Brunel University London's College of Engineering, Design and Physical Sciences. With over 25 years of combined academic and industry experience, his work bridges theoretical AI advancements with practical applications in finance, healthcare, and public health domains. His research has established significant collaborations with international banks, healthcare institutions, and technology startups. Dr. Khushi earned his PhD in AI and Data Science from the University of Sydney, developing novel algorithms for genomic data analysis. His postdoctoral research at the Children's Medical Research Institute (2014-2017) pioneered AI-based diagnostic tools for medical condition detection. More recently, he developed bioinformatics tools for environmental assessment under a UKRI NEC grant. Research Focus FinTech Innovation : Creator of the SS Ratio (incorporating volatility and drawdown sensitivities), advanced portfolio optimization models, and synthetic data generation techniques for fraud detection and credit risk assessment Bioinformatics Leadership : Developer of AI tools for genomic analysis and early cancer detection, featured in SBS News and The Daily Telegraph Public Health NLP : Architect of systems for vaccine misinformation detection, mental health monitoring, and health surveillance on social media His publication portfolio shows consistent growth from foundational bioinformatics work to current multimodal AI applications, with increasing interdisciplinary collaboration across finance and healthcare sectors. Awards and Recognition Ranked among Stanford/Elsevier's top 2% of global AI scientists Recipient of Best Paper Awards from IEEE Transactions on Computational Social Systems and PeerJ Media recognition for cancer detection research by major news outlets Mentorship and Teaching Dr. Khushi has supervised six PhD candidates to completion and over 100 postgraduate dissertations. He teaches CS3002 Artificial Intelligence and mentors students in Final Year Projects. His supervision focuses on Deep Learning/NLP for FinTech prediction and Public Health Surveillance applications, emphasizing practical implementation of theoretical concepts.
Anthony Forsyth is a Distinguished Professor in the School of Law at RMIT University's Graduate School of Business and Law. He specializes in labour and employment law, focusing on collective bargaining, trade unions, union education, labour hire, and the gig economy. His leadership roles include Director of Juris Doctor Programs (2012-2015) and Head of the Law Department (2019-2022), during which he developed RMIT's Bachelor of Laws and combined law/business degrees. He chairs the RMIT Law Advisory Board and the Higinbotham Lecture Series. His research explores the intersection of Australian and global workplace regulation, emphasizing equitable outcomes through evidence-based legal interventions. Key projects include the Victorian Government Inquiry into Labour Hire Industry and Insecure Work (2015-16), resulting in his book *The Future of Unions and Worker Representation: The Digital Picket Line* (2022). He collaborates with unions like the United Workers Union and Australian Council of Trade Unions. Anthony holds leadership positions such as President of the Australian Labour Law Association (since 2021) and advisory roles at the Centre for Future Work. His awards include multiple RMIT Media Stars Awards (2018-2021) and a Research Impact Award (2018). His work bridges academia and industry, addressing digital-age challenges for worker representation. **Education**: Extensive legal career before academia (pre-2000), including roles at Ashurst, Norton Rose, and Maurice Blackburn. **Grants & Projects**: Victorian Government Inquiry, industry collaborations with unions. He runs the *Labour Law Down Under Blog* and oversees RMIT's Centre for People, Organisation & Work. His recent articles analyze gig economy regulation, multi-employer bargaining reforms, and digital tools for worker mobilization.
Hisham Zerriffi is an Associate Professor at the University of British Columbia (UBC) in the Department of Forest Resources Management, Faculty of Forestry. He also serves as Associate Dean for Equity, Diversity, and Inclusion. His research intersects technology, energy, and the environment, focusing on rural areas in the Global South. Affiliation: BioProducts Institute Affiliation: Clean Energy Research Centre Affiliation: Institute for Resources, Environment and Sustainability His research examines institutional factors in technology diffusion, household energy choices, and welfare impacts of energy use. Current projects include analyzing forest density's ecological impact, clean cooking transitions in India, and decentralized energy systems. Recent publications address just transitions, biomass energy economics, and policy misalignments in Indigenous communities. He has authored works on climate change mitigation via forest carbon credits and rural electrification strategies. Scientific Award: Ivan Head South/North Research Chair As a PhD supervisor, he has guided Natalie Payer on urban energy poverty in the U.S. He collaborates on interdisciplinary grants and leads the Energy Resources, Development and Environment Lab (ERDELab).
Ben Seiyon Lee is an Assistant Professor in the Department of Statistics at George Mason University's College of Science. His work bridges computational statistics, climate modeling, and environmental risk assessment. Education: PhD in Statistics, Pennsylvania State University (2020) Lee specializes in computational methods for high-dimensional spatiotemporal data and uncertainty quantification in climate models. His research explores climate change impacts on extreme hydrological events, wildfire emissions, and medical decision-making. Recent publications focus on Bayesian spatiotemporal frameworks for extreme precipitation analysis, zero-inflated spatial models, and multisector uncertainty quantification. His work addresses challenges in flood risk assessment, agricultural yield projections, and healthcare compliance metrics.
Dr. Xin Zhou is an Oxford-Bristol Myers Squibb Fellow at the Department of Computer Science, University of Oxford. Her research integrates computational modeling, clinical data, and experimental findings to investigate cardiac disease mechanisms and develop human-based simulations for drug evaluation. BSc and MSc in Life Sciences, Beijing Normal University DPhil in Computational Biology, University of Oxford Her work focuses on multi-scale cardiac modeling , particularly in ischemic heart disease and heart failure, exploring ionic currents, tissue conduction, and organ-level dynamics. She develops electromechanical simulations to study cardiac alternans and arrhythmic risks, translating these into clinical applications for patient stratification and pharmaceutical testing. Recent publications emphasize in silico clinical trials , sex-specific cardiometabolic analysis, and Purkinje network modeling. Collaborative efforts with clinicians and pharmaceutical partners highlight her translational approach to regulatory science. Model of the Year 2024, BioModels EPSRC Impact Acceleration Account Microsoft Research Project Award Recognition Award, University of Oxford She supervises PhD and MSc students in computational cardiology, while serving on the editorial board of Frontiers in Physiology . Her current projects involve digital twinning and predictive cardiac safety models to reduce animal testing reliance.
John Peters serves as Associate Professor at Memorial University of Newfoundland within the Faculty of Business Administration and Department of Sociology, with additional appointments as Research Fellow at Montreal's CRIMT and Associated Professor at both Montreal's School of Industrial Relations and York University's Department of Politics. His educational background includes a Master's in History from the University of Michigan and PhD in Political Science from York University, building foundational expertise for his interdisciplinary work. Peters' research critically examines labor movements within financialized economies and climate crisis responses, focusing on decarbonization's impact on workers through frameworks of just transition and political economy. His scholarship bridges theoretical analysis of inequality with practical policy solutions for sustainable labor markets. Recent publications (2019-2022) reveal consistent thematic focus: financialization's erosion of labor power, climate-labor intersections, and policy pathways for equitable economic transformation, with significant emphasis on Canadian contexts and comparative frameworks. His research awards demonstrate sustained funding success: SSHRC Engage Grant (2023) analyzing unions' climate crisis strategies SSHRC Connection Grant (2022) exploring climate-work futures Multi-year SSHRC Partnership Grant (2017-2024) for institutional labor innovation Peters actively collaborates through CRIMT on sector-specific policy studies (auto, steel, aluminum) while developing union training programs for zero-carbon transitions, emphasizing worker capacity building for equitable clean energy economies.
Professor Valentyn Panchenko is a leading academic in Economics at the UNSW Business School, specializing in advanced econometric methodologies and financial modeling. Holding a PhD from the University of Amsterdam and an MPhil from the Tinbergen Institute, his research bridges theoretical econometrics with real-world financial applications, emphasizing big data analysis, network structures, and dependence modeling in economic systems. His expertise spans financial econometrics, time series analysis, non-parametric statistics, and agent-based economic simulations. He focuses on Granger causality, model evaluation, structural economic modeling, and bounded rationality with heterogeneous agents. His work has secured significant grants including ARC Discovery Projects and DECRA fellowships, enabling cutting-edge research on market dynamics and economic interactions. Professor Panchenko's publications appear in top-tier journals like the Journal of Econometric Theory, AEJ: Micro, Journal of Economic Dynamics & Control, and Journal of Banking & Finance. His methodological contributions include novel approaches to copula-based forecasting, nonlinear causality testing, and evolutionary learning models in strategic economic environments. While specific student advising details aren't provided, his research leadership demonstrates sustained impact across econometric theory, financial markets, and experimental economics.
Professor Richard Bolden is a Professor of Leadership and Management at the Bristol Business School, University of the West of England (UWE), where he also directs the Bristol Leadership and Change Centre. His career includes over a decade at the University of Exeter Business School and experience as a consultant, research psychologist, and software developer. He holds a PhD, MA, and BSc. His research focuses on distributed leadership, leadership development in complex systems, and cross-sector partnerships. Key areas include leadership in higher education, healthcare, and public services, with emphasis on paradoxes, complexity, and inclusion. He has published extensively, including a 2023 second edition of Exploring Leadership (Oxford University Press) and serves as Associate Editor of the Leadership journal. Prof. Bolden leads leadership modules for UWE's EMBA and clinical practitioner programs. His funded projects involve organizations like the NHS Leadership Academy and Singapore Civil Service College. Awards include Fellowship with the International Leadership Association. His work bridges academic theory and practical application, addressing systemic challenges through collaborative, inclusive leadership frameworks. Current interests include post-pandemic academic leadership and the 'great resignation' impact.
Rachelle Hole is a Professor at the School of Social Work, Faculty of Health and Social Development, University of British Columbia Okanagan. She serves as the Director of the Canadian Institute for Inclusion and Citizenship (CIIC) and leads the Social Inclusion and Equity Research Cluster at the Institute for Community Engaged Research. As an Associated Health Researcher with CREST.BD, she bridges mental health and disability studies through community-based participatory research. UBC Tier 1 Principal's Research Chair in Critical Disability Studies Director, Canadian Institute for Inclusion and Citizenship Social Inclusion and Equity Research Cluster Leader Associated Health Researcher, Collaborative RESearch Team (CREST.BD) Her research integrates critical disability studies with community-based participatory methodologies to advance social inclusion for marginalized populations, particularly focusing on individuals with intellectual/developmental disabilities, Indigenous communities, and bipolar disorder patients. She explores employment equity, self-advocacy, and digital health tools like the PolarUs app for mental health. Her work emphasizes ethical participatory theatre and policy-informing research. Recent publications and grants (2018–2025) include multi-million-dollar partnerships with Canadian Institutes for Health Research, Social Sciences and Humanities Research Council, MITACS, and Vancouver Foundation. Key projects: Tide Project (youth employment), Impact 2.0 (summer employment), and Evidence to Inform Policy (community living sector). Her 15 most recent Google Scholar articles span employment barriers, digital health, research-based theatre, and policy analysis. Scientific awards include UBC Okanagan Health Researcher of the Year (2019). She has supervised numerous graduate students and collaborated with institutions like Community Living British Columbia, Aspire, and CREST.BD.
Dr. Ginny Sargent is a Research Engagement Lead at The Australian National University's ANU College of Arts and Social Sciences. She holds a BSc (Hons) and PhD in relevant fields. Her work focuses on enhancing research impact through engagement, policy translation, and collaborative problem-solving in population health. Key interests include co-production methodologies, implementation science, and addressing socio-cultural determinants of chronic diseases. Education: BSc (Hons) PhD Research Interests: Dr. Sargent leads efforts to build organizational capacity for engaged research, improve evidence-to-policy translation, and address preventable chronic diseases using systems approaches. Her work spans community, government, and NGO collaborations to design health interventions and evaluate program effectiveness. Grants & Projects: She leads or collaborates on 12 projects, including initiatives on air pollution exposure reduction, policy evaluation frameworks, and workplace health promotion in Singapore. Recent projects involve developing digital evaluation tools and assessing health impacts of environmental hazards like bushfire smoke. Labs/Teams: Works with interdisciplinary teams on projects involving health communication, preventive interventions, and multi-sector collaboration. Collaborators include organizations like the Summer Foundation and global health institutions.
Professor Michael Davies is Professor of Building Physics and the Environment at the UCL Institute for Environmental Design and Engineering (IEDE) within The Bartlett School of Environment, Energy & Resources at University College London. He is also a member of the UK Climate Change Committee. With over two decades of academic experience, Professor Davies leads research at the critical intersection of building physics, environmental design, and public health, focusing on how the built environment impacts human well-being. His educational background includes: Doctor of Philosophy from the University of Westminster (1994) Postgraduate Certificate in Education from the University of York (1990) Bachelor of Science from the University of Manchester (1986) Professor Davies has pioneered transdisciplinary research methods, particularly in modeling health impacts and applying system dynamics approaches to address urban health challenges. His work demonstrates how healthy sustainable development can be achieved through innovative stakeholder participation and methodological advancements. His research spans building physics, climate change adaptation, indoor environmental quality, and the health implications of urban design, with particular attention to vulnerable populations and environmental justice considerations. His extensive publication record (over 300 outputs) reveals a consistent evolution toward more integrated approaches that connect building science with public health and climate policy. Recent work shows growing emphasis on health equity in climate adaptation, advanced modeling of complex urban systems, and the application of system dynamics to understand interconnected challenges in housing and urban environments. His research bridges technical building performance analysis with broader policy implications, reflecting his commitment to solutions that address both environmental sustainability and social equity. Professor Davies has secured significant research funding, including the prestigious EPSRC Platform Grant funding the Complex Built Environment Systems group at UCL (awarded only to "world leading" centers) and the Wellcome Trust-funded 'CUSSH' project. In total, he has served as PI or Co-I on approximately 50 research projects, demonstrating exceptional ability to lead large-scale, transdisciplinary research initiatives addressing critical urban challenges. As an educator, Professor Davies leads the 'Energy Context' module in the Environmental Design and Engineering MSc course and supervises EngD and PhD students. His teaching emphasizes the integration of energy systems within broader environmental, social, and policy contexts, preparing students to address complex sustainability challenges in the built environment sector.
Catherine Durose is an Honorary Professor of Public Policy at the University of Birmingham's Department of Public Administration and Policy, part of the College of Social Sciences. Her research focuses on urban governance, co-production, decentralization, and institutional design, with a particular emphasis on how government interacts with citizens and communities to drive policy change. She has secured over £3 million in research funding and serves as Chair of the Editorial Board for Local Government Studies. Educations: PhD, University of Manchester (2007) MA (Research) in Governance and Public Policy, University of Manchester (2004) BA (Hons) in Politics, University of Sheffield (2001) Her research interests span interdisciplinary areas including co-production theory, governance of the commons (housing, energy, data), feminist institutionalism, and participatory policymaking. She has held visiting fellowships at institutions such as the Great Cities Institute (UIC, Chicago) and Tilburg University, and consults for UK government bodies like the Equality and Human Rights Commission. Publications and Awards: Recipient of the Joni Lovenduski Prize (2020) Author of Designing Public Policy for Co-production (2016) Published in Political Studies , Urban Studies , and Nature Teaching and Mentorship: Catherine teaches on INLOGOV's MSc Public Management and Executive Apprenticeship programs. She mentors doctoral students in areas like social accountability in Colombia, blame avoidance in UK governance, and decentralization in Cameroon. Current research projects include studies on urban governance assemblages (with Tilburg and Edinburgh Universities) and feminist institutionalism in hate crime policy (collaboration with University of Birmingham's Vivien Lowndes). She actively contributes to civic initiatives like Citizens UK and co-founded Win: Win, a network for women in higher education, earning her recognition as a 'Woman of Action' in 2017.
Dr Elisabeth Huynh is a Senior Research Fellow at the Australian National University's Centre of Epidemiology for Policy and Practice. She specializes in health economics, focusing on understanding health-related preferences, choice behavior, and economic evaluations in public policy and medical interventions. Education: PhD in Economics (Econometrics) and B.Com from the University of Sydney. Affiliations: Research Affiliate at the University of Sydney (2021-2026). Research Interests: Her work spans health economics, applied econometrics, and public policy, with specific contributions to discrete choice experiments, best-worst scaling, health workforce dynamics, healthy aging, nutrition interventions, and quality-of-life valuation. She investigates decision-making patterns in health care, including patient preferences, end-of-life care, and health service provider behavior. Publications: Her recent articles focus on pediatric quality-of-life metrics, pandemic preparedness modeling, dietary supplement choices during pregnancy, and workforce dynamics in health care. These studies employ advanced econometric methods and systematic reviews to inform policy decisions. Supervision: Elisabeth supervises PhD candidates exploring topics like child health valuation, chronic disease management, and maternal nutrition programs.
