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Joseph P. Bressler is an Associate Professor at Johns Hopkins University, jointly affiliated with the Bloomberg School of Public Health and the Krieger School of Arts and Sciences. He is a member of the Department of Environmental Health and Engineering and conducts research at the Kennedy Krieger Institute in Baltimore, Maryland. His work bridges public health, neuroscience, and molecular toxicology, focusing on environmental impacts on brain development. Education: PhD, Rutgers University, 1978 Dr. Bressler’s research centers on neurotoxicology, particularly how environmental pollutants such as lead, cadmium, and aluminum disrupt metal transport systems and affect neurodevelopment. His laboratory investigates the role of iron and other metal transporters at the blood-brain barrier and in glial cells, revealing mechanisms of metal uptake and toxicity. His work has implications for understanding autism, fetal alcohol syndrome, and other neurodevelopmental disorders. His recent publications highlight ongoing research into metal homeostasis, cytotoxicity in cancer and neuronal cell lines, e-cigarette aerosol variability, and epigenetic changes in sex chromosome aneuploidies. The research spans molecular mechanisms, in vitro models, and human health outcomes, demonstrating a multidisciplinary approach to environmental health. Scientific Contributions: Elucidated how lead and cadmium hijack iron transporters to enter the brain Demonstrated aluminum activation of iron uptake pathways in glial cells Investigated flavoring agents like ethyl maltol in enhancing metal toxicity Explored epigenetic and behavioral impacts in rare genetic conditions Dr. Bressler has advised numerous researchers and collaborators across disciplines. His work has been supported by federal and institutional grants, though specific funding details are not provided in the source text. He actively publishes in high-impact toxicology and environmental health journals, with research cited in policy and public health discussions. He leads a research laboratory focused on cellular and molecular mechanisms of neurotoxicity, utilizing in vitro models of the blood-brain barrier, astrocytes, and neuronal cell lines. His team collaborates widely across neuroscience, public health, and environmental engineering domains.

• Neurotoxicology
• Environmental Health Sciences
• Metal Transporters
• +12 more

Edward H. Kaplan is the William N. and Marie A. Beach Professor of Management Sciences at the Yale School of Management, Professor of Public Health at the Yale School of Medicine, and Professor of Engineering at the Yale School of Engineering and Applied Sciences. He holds secondary appointments in Chemical and Environmental Engineering, Health Policy & Management, the Institution for Social and Policy Studies, and Statistics. Education: PhD in Urban Studies, Massachusetts Institute of Technology (1984) SM in Mathematics, Massachusetts Institute of Technology (1982) SM in Operations Research and City Planning, Massachusetts Institute of Technology (1979) BA in Urban/Economic Geography, McGill University (1977) Kaplan is an expert in operations research, mathematical modeling, and statistics, focusing on public policy and management. His research spans counterterrorism, HIV prevention, bioterrorism, and public health modeling. He has developed models for suicide bomber detection, smallpox response logistics, needle exchange program effectiveness, and wastewater-based disease surveillance. His work has been recognized with numerous awards, including the Koopman Prize (2003, 2005), INFORMS President’s Award (2002), Charles C. Shepard Science Award (2009), and INFORMS Fellow (2005). He has also served as President of INFORMS (2016) and co-directs the Daniel Rose Technion-Yale Initiative in Homeland Security.

• Operations Research
• Mathematical Modeling
• Statistics
• +6 more

Dr. Alain Bonneville is a Lab Fellow and Geophysicist at Pacific Northwest National Laboratory (PNNL) and holds a Courtesy Professor appointment at Oregon State University's College of Earth, Ocean, and Atmospheric Sciences. With extensive experience in geological storage of CO2, geothermal energy, and geophysical monitoring techniques, Dr. Bonneville leads diverse research projects that bridge fundamental science and practical applications for energy and environmental challenges. Dr. Bonneville's educational background includes: PhD in Geophysics from the University of Montpellier, France MS in Petroleum Geophysics from IFP-School, Paris, France BS in Geology from the University of Lyon, France Dr. Bonneville's research spans several critical areas in Earth sciences and energy systems. His work on geothermal energy focuses on super-hot enhanced geothermal systems (EGS), site characterization, monitoring, and stimulation fluids. In geological CO2 storage, he investigates project management, site characterization, numerical modeling, and monitoring methods using potential fields and remote sensing. His expertise in geophysical methods includes heat flow measurements, gravity surveys, muon tomography development for borehole deployment, and remote sensing applications. Additional research areas encompass marine heat flow instrumentation development, thermal monitoring of active volcanoes, and intraplate volcanism studies in the Indian and Pacific Oceans. Dr. Bonneville has received significant recognition for his contributions to science, including: Membership in the Washington State Academy of Sciences Lab Fellow position at Pacific Northwest National Laboratory Executive Committee membership on the U.S. National Risk Assessment Partnership Scientific Committee membership at IFP-Energies Nouvelles, France He also holds two U.S. patents related to electrophilic acid gas-reactive fluids for enhanced fracturing and recovery of energy producing materials. Throughout his career, Dr. Bonneville has led significant research initiatives, including the PNNL Carbon Sequestration Initiative (2009-2013) and the European Marie Curie Research Training Network on Greenhouse Gas Removal (GRASP), which involved 14 academic and industrial institutions across 7 countries and supported 35 PhD students and post-docs. His work on the FutureGen 2.0 project demonstrates his leadership in large-scale carbon storage site characterization and monitoring program design. Dr. Bonneville maintains active collaborations with research teams at PNNL's Environmental Molecular Sciences Laboratory and works closely with Oregon State University's geoscience researchers. His laboratory work focuses on developing novel instrumentation for geophysical monitoring, particularly in the areas of muon tomography for subsurface characterization and thermal monitoring systems for geothermal and carbon storage applications.

• Geothermal Energy
• Geological CO2 Storage
• Geophysical Methods
• +3 more

Dr. Matthew Brookhouse is a Senior Lecturer at the Fenner School of Environment & Society, part of the Australian National University's Institute for Climate, Energy & Disaster Solutions. With a PhD in Dendroclimatology from ANU, he specializes in using forest structural complexity and tree-ring analysis to understand climate interactions and ecological responses in Australian subalpine environments. Research Focus: Sub-alpine ecology, Dendrochronology, CO2 responsiveness in eucalypt species Teaching: First-year research methods with emphasis on statistical application, advanced modeling and field botany Projects: Leading collaborative snow-gum dieback research and dendrochronological monitoring initiatives His publications span 2006-2025 with recent emphasis on machine learning applications for forest monitoring, tropical tree-ring chronologies for climate change, and climate sensitivity in Australian alpine ecosystems. Key collaborations include institutions like Australian Nuclear Science and Technology Organisation and University of Canberra researchers. Current projects focus on snow-gum woodland dieback mechanisms, high-resolution dendrometric monitoring, and integrating dendrochronology with environmental policy frameworks. He maintains active supervision of research students and contributes to both undergraduate and postgraduate curriculum development.

• Plant physiology
• Sub-alpine ecology
• Dendrochronology
• +2 more

Dominique Foray is a Professor at Ecole Polytechnique Fédérale de Lausanne (EPFL) and holds the Chair of Economics and Management of Innovation (CEMI). He is a member of the Swiss Council for Science, chairman of the KOF Swiss Economic Research Institute's Advisory Board, and a foreign member of Columbia University's Center of Capitalism and Society. His career includes extensive advisory roles, such as with the European Commission's 'Knowledge for Growth' group and Germany's Expert Commission for Research and Innovation. Education: Ph.D. in Economics, University Lumière of Lyon (1984) Habilitation à diriger des recherches, University Lumière of Lyon (1992) Foray's research focuses on the economics of innovation, knowledge-based economy dynamics, technology policy, smart specialization strategies, and institutional frameworks for innovation. He has authored seminal works including The Economics of Knowledge (MIT Press, 2004) and Smart Specialisation (Routledge, 2015). His recent publications explore mission-oriented innovation policies, smart specialization in EU contexts, and knowledge diffusion mechanisms. Foray's work bridges academic theory with practical policy design, influencing regional and national innovation strategies globally. Advising: Past EPFL PhD students: Aouinait Camille Marguerite, Ayoubi Charles Chadi, Baruffaldi Stefano Horst, Bednyagin Denis, Bogers Marcellus, Coffano Monica, Conti Annamaria, Cristelli Gabriele, Gaulé Patrick, Hamdan Livramento Intan Maizurah, Marino Marianna, Muñoz Tellez de Kieffer Viviana Carolina, Pellegrin Claudia, Simeth Markus Foray's institutional roles include leadership in European policy initiatives and contributions to the World Bank's studies on innovation's role in economic growth. His interdisciplinary approach integrates economics, policy analysis, and technology management to address grand societal challenges through innovation.

• Economics of Innovation
• Science and Technology Indicators
• Technology Policy
• +3 more

Stefan Schaltegger is Professor for Sustainability Management at the Centre for Sustainability Management (CSM) at Leuphana University Lüneburg. With over two decades of research experience, he is a globally recognized scholar in sustainability management, corporate sustainability, and environmental accounting. His work bridges academic research with practical business applications, influencing sustainability practices across multiple industries. Professor for Sustainability Management at Leuphana University Lüneburg Director of the Centre for Sustainability Management (CSM) Extensive publication record in top sustainability journals Regular contributor to policy discussions on sustainability Professor Schaltegger's research focuses on sustainability management systems, corporate sustainability strategy, environmental accounting, sustainable business models, and sustainability transitions. His work examines how organizations can effectively integrate sustainability into core operations, emphasizing stakeholder engagement, sustainability performance measurement, and the development of compelling business cases for sustainability. He has pioneered research on sustainability management accounting, rebound effects in sustainability initiatives, and the role of change agents in corporate sustainability transformations. His research spans both theoretical development and practical application, making significant contributions to how businesses understand and implement sustainability. His recent publications reveal an evolving research trajectory with increasing focus on systemic sustainability challenges. Schaltegger has shifted from foundational work on sustainability management accounting toward more complex issues like environmental rebound effects, sustainability transformations, and regenerative business practices. His 2023-2025 publications show growing attention to climate change responses, biodiversity conservation, and the role of service innovation in sustainability transformations. The interdisciplinary nature of his work is evident in publications spanning business strategy, environmental science, accounting, and policy journals. Ranked among the world's top 2% scientists in the Stanford study (2020) Best Young Researcher of the Year at Leuphana University Lüneburg (2010) IFAC PAIB Committee Research award for "article of merit" (2003) Professor Schaltegger actively mentors doctoral students and early-career researchers, though specific student names aren't listed in the provided materials. His research is supported by numerous projects including "TrICo Subproject: Community Sustainable Production," "Account4GreenEco," and "Hochschulen in Gesellschaft – Realexperimente transformativer Lern- und Forschungsprozesse für eine Kultur der Nachhaltigkeit an Hochschulen." His work demonstrates strong industry engagement through collaborations with businesses implementing sustainability practices. The Centre for Sustainability Management (CSM), which Schaltegger leads, serves as a hub for interdisciplinary sustainability research, education, and practice. The CSM coordinates multiple research projects including the Innovation Network aiming at Sustainable Smartphones (INaS) and works closely with industry partners to develop practical sustainability solutions. The center's activities span research, education, and transfer, reflecting Schaltegger's commitment to bridging the gap between academic theory and business practice in sustainability.

• Sustainability Management
• Corporate Sustainability
• Environmental Accounting
• +5 more

Professor Dr. Prof. h.c. Thomas M.J. Möllers holds the Chair for Civil Law, Commercial Law, European Law, International Private Law and Comparative Law at the Faculty of Law, University of Augsburg. As a full professor, he leads research and teaching in multiple legal disciplines with a particular focus on German and European financial regulation, corporate law, and legal methodology. His work bridges traditional legal scholarship with contemporary challenges posed by digitalization and globalization. Professor Möllers' research interests span German and European Capital Markets law, German and European Company Law, Legal methods, Comparative Law, European Union Law, and Competition Law. His scholarly work demonstrates exceptional breadth, connecting doctrinal legal analysis with practical applications in evolving regulatory environments. He has made significant contributions to understanding the interface between national legal systems and EU regulation, particularly in financial markets. His recent publications reveal a strong focus on capital markets regulation, particularly regarding the Wirecard scandal and auditor liability, consumer protection in e-commerce, data protection across different legal systems, and the impact of AI on legal methodology. The trajectory of his work shows increasing engagement with comparative legal analysis between European, American, and Chinese legal systems, reflecting his growing international influence. TOP 1% Most Cited Books (2019-2023) - Legal Translations in China for his 'Legal Methodology' Honorary Professor at Central South University, Changsha, Hunan (2024) Professor Möllers has mentored numerous successful legal scholars who have gone on to academic and professional careers, including Dr. Liuhua Shen (now a professor at Jiangsu University), Dr. Maximilian Merwald, and Dr. Lisa Wolf. His research is supported by various grants, including DAAD funding for US exchange programs and participation in the Jean Monnet Centre of Excellence - INspiRE on consumer protection, capital markets, and competition law enforcement. He leads the Research Center of Innovation and Legal Studies between China and Europe (RICE) and is actively involved in the Caplaw initiative, which provides resources on European and national business law. His work connects legal scholarship with practical applications through podcasts, student research showcases, and collaborative projects across multiple legal systems.

• German and European Capital Markets law
• German and European Company Law
• Legal methods
• +3 more

Maria J. Redondo is a Professor at Baylor College of Medicine and leads the Maria J. Redondo Lab at Texas Children’s Hospital, focusing on Type 1 Diabetes across four core areas: Genetics for prediction models and trial candidate selection Heterogeneity in diabetes pathogenesis Prevention through clinical trials Atypical Diabetes and Racial/Ethnic Influences Research Trends: Her recent articles emphasize genetic risk modeling, BMI correlations in pediatric diabetes, and HLA studies. The work integrates autoimmunity , metabolic research , and epidemiological analysis . Scientific Awards: Elected to the Society for Pediatric Research (2014) JDRF Early Career Development Award (2002) JDRF Postdoctoral Fellowship (2000) Immunology of Diabetes Society Junior Investigator Award (1998) Mentoring: Dr. Redondo mentors fellows and students in projects like COVID-19 and Diabetes and Racial Differences in Insulin Pump Uptake , with grants from NIH , Medtronic , and Hemsley Charitable Trust .

• Type 1 Diabetes
• Genetics of Autoimmune Diseases
• Diabetes Heterogeneity
• +3 more

Sujan Pal is a Hydroclimate Scientist at Argonne National Laboratory , focusing on hydrometeorology, hydroclimatology, and land-atmosphere interactions through numerical modeling and field experiments. He serves as an associate mentor for multiple observational systems in the Atmospheric Radiation Measurement (ARM) user facility and monitors environmental data at Argonne Testbed for Multiscale Observational Science (ATMOS). Ph.D., University of Illinois at Urbana-Champaign (2017-2021) M.S., The University of Arizona (2015-2017) B.E., Jadavpur University (2010-2014) His research spans hydrometeorological modeling, urban climate impacts, and machine learning applications in environmental science. He leads high-resolution flood simulations and contributes to the DOE-funded CROCUS project studying urban climate change in Chicago. Recent publications highlight his work on convection-permitting climate modeling, extreme rainfall dynamics, and flood risk assessment across South America, the U.S. Northeast, and Argentina. His methodologies integrate field data with advanced computational tools. ARM Service Award 2025 Argonne Commercialization Excellence Award 2024 Argonne IMPACT Awards (2024, 2023, 2022) He actively collaborates with national user facilities and contributes to spatiotemporal modeling of water-related hazards as an Associate Editor for Frontiers in Water .

• Hydrometeorology
• Hydroclimatology
• Land-Atmosphere Interactions
• +4 more

N. Rich Nguyen is an Assistant Professor in the Department of Computer Science at the University of Virginia (UVA), where he joined in August 2018. He's part of the School of Engineering and Applied Science and is on a teaching track , focusing on making machine learning accessible and engaging for all students. Research and Innovation: Rich Nguyen's research interests include biomedical image analysis , machine learning , and computer science education . He aims to reinvent instructional activities to make them adaptive and engaging by incorporating art and music elements to help everyone learn coding. Notable research contributions include: Floodwatch : A system for flood monitoring using crowdsourced images TuneScope : A digital music creation tool combining SoundScope and Snaps! technology CAD Library : Open-source design tools for educators AI for early sepsis detection : Highlighted in UVA Today Teaching Accomplishments: Before UVA, Rich taught computer science courses at UNC Charlotte for four years to a total of 1,458 students. At UVA, he teaches several courses including: CS 4774: Machine Learning (multiple semesters) CS 2501: Machine Learning for All (launched in Fall 2021) SYS 6016 / SDS 6050: Deep Learning CS 2150: Data and Program Representation (multiple semesters) CS 6316: Machine Learning (Graduate Level) CS 2910: CS Education Practicum (for Teaching Assistants) He previously taught at UNC Charlotte: ITCS 1600: Computing Professionals ITCS 2600: Computing Professionals for Transfer Students ITCS 4156: Introduction to Machine Learning ITCS 2215: Design and Analysis of Algorithms Academic Achievements: Rich Nguyen has received several notable awards and grants: Google Faculty Award for Machine Learning Education with TensorFlow (2019) Best Paper Award at IEEE BigDataSE (2022) Best Poster Award at SITE Conference (2022) CCI Faculty Innovation Award (2018) NSF grants for Smart and Connected Communities (2022) and Computational Thinking (2021) 3 Cavaliers Grant on Coding and Music (2021) Student Mentorship: Rich has mentored numerous students and teaching assistants who have achieved recognition. Notable students include: Joy Qiu - Published in Clinical Infectious Diseases Louisa Edwards and Zach Boner - Invited to Ken Ono Podcast Mike Ferguson - Winner of CS Louis T. Rader Undergraduate Teaching Award He has also served as faculty advisor for HooHacks (UVA's hackathon) and co-founded CharlotteHack at UNC Charlotte. Labs and Collaborations: Rich Nguyen leads the ML4VA (Machine Learning for Virginia) initiative, engaging students in project-based learning to apply machine learning to real-world problems affecting Virginia communities. He collaborates with institutions for symposiums on smart cities, particularly with ASEAN universities, and has partnered with Premier Healthcare for hackathons and with Glen Bull on educational technology projects.

• Biomedical Image Analysis
• Machine Learning
• Computer Science Education
• +3 more

Nick Abel is an Honorary Associate Professor at the Fenner School of Environment & Society, Australian National University. With a distinguished international career spanning Africa and Australia, he has worked in Zimbabwe, Kenya, Ethiopia, Botswana, Somalia, Swaziland, Zambia, and Australia. His academic credentials include a Ph.D., M.Sc., and B.Sc.(Hons.), reflecting a strong foundation in environmental sciences and complex systems thinking. Abel's research program centers on the critical challenge of human adaptation to climate change, with particular focus on why adaptation efforts are insufficient to prevent environmental and social tipping points. He critically examines Australia's role as the world's third largest exporter of fossil fuels while facing escalating climate impacts, investigating how fossil fuel companies have maintained influence over public policy. His work integrates social-ecological systems theory, resilience thinking, and practical governance frameworks to address climate adaptation challenges. His publication record demonstrates a clear evolution from foundational work in rangeland management and complex adaptive systems toward urgent climate policy interventions. Early research established theoretical frameworks for understanding resilience in dryland ecosystems, while recent work focuses on transformation pathways, Indigenous engagement, and community-based adaptation strategies. A consistent thread throughout his career is the integration of diverse knowledge systems and the development of practical approaches for environmental governance in rapidly changing conditions. Abel has registered to supervise research students at ANU and participates in significant collaborative projects, including the current 'Partnering with local communities in regional Australia to increase resilience to flood events' (2022-2025). His high-impact publications, including the highly cited 'Resilience management in social-ecological systems' (1,120 Scopus citations) and 'From Metaphor to Measurement: Resilience of What to What?' (2,596 Scopus citations), demonstrate his foundational contributions to the field. Through his work with various research groups and projects, Abel has helped establish frameworks for understanding social-ecological systems and climate adaptation. His contributions to the Fenner School include advancing methodologies for integrating scientific and Indigenous knowledge systems, developing practical approaches to environmental governance, and critically examining the political economy of climate policy in Australia.

• Climate Change
• Social-Ecological Systems
• Rangeland Management
• +4 more

Michael Lepech is a Professor of Civil and Environmental Engineering and Senior Fellow at the Woods Institute for the Environment at Stanford University. His research focuses on integrating sustainability into civil engineering through quantitative assessment and multi-scale modeling, particularly via the Sustainable Integrated Materials, Structures, Systems (SIMSS) framework. He also leads the Stanford Center at the Incheon Global Campus (SCIGC) in South Korea, exploring smart city technologies for urban sustainability. Education : PhD in Civil and Environmental Engineering (2006), MBA in Finance and Strategy (2008) from the University of Michigan. Research Areas : Sustainable infrastructure design, biopolymer composites, life cycle assessment, digital twinning, smart city technologies, and multi-physics deterioration modeling. Leadership : Director of SCIGC, advancing research on smart and sustainable urban environments in Songdo, South Korea. His recent publications focus on biopolymer-bound composites, traffic signal optimization, and life cycle sustainability analysis. He has received recognition as a Senior Fellow at Stanford’s Woods Institute for environmental research.

• Sustainable Infrastructure Design
• Civil Engineering
• Environmental Engineering
• +4 more

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.

• Machine Learning
• Artificial Intelligence
• Healthcare Operations
• +5 more

Magnus Liebherr is a Professor at the University of Duisburg-Essen , focusing on Technology Acceptance , Artificial Intelligence , and Sustainable Transportation . His work bridges Business Administration with Human-Computer Interaction , exploring how users adapt to emerging technologies like autonomous vehicles and AI systems. Key research areas include: Acceptance of AI applications in mobility Business model development for climate-neutral transportation Cognitive and psychological factors in technology interaction Digital media effects on adolescent well-being Trust calibration in automated systems His recent publications examine Large Language Model dependency , gamified language learning , and mental workload metrics for autonomous vehicles. While no formal awards are listed, his interdisciplinary work spans psychology , engineering , and business strategy .

• Technology Acceptance
• Artificial Intelligence
• Sustainable Transportation
• +4 more

Cathy Wu is an Associate Professor at MIT, with affiliations in the Laboratory for Information and Decision Systems (LIDS), Department of Civil and Environmental Engineering (CEE), and Institute for Data, Systems, and Society (IDSS). Her research group focuses on integrating machine learning with model-based optimization to solve complex problems in transportation systems and cyber-physical systems. Academic Leadership: Class of 1954 Career Development Associate Professor (MIT) Research Grants: NSF CAREER Award, Amazon Robotics, Mathworks, MIT Mobility Initiative, US DOT, Microsoft Research, Cintra, Symbotic Research Interests : Wu's work bridges AI and engineering challenges in transportation. Key areas include: Hybrid ML/Model-based Optimization (large neighborhood search, branch-and-cut) Sustainable Mobility (Project Greenwave, eco-driving) Multi-Agent Coordination (warehouse automation, cooperative driving) Cyber-Professional Systems (generalization in RL, transfer learning) Recent work demonstrates significant advances in eco-driving (11-22% emissions reduction), large-scale multi-agent path finding (1000+ agents), and foundational RL methods for traffic control. Her group has produced 15+ major publications since 2015, with notable media coverage in Science, Wired, and NewScientist. Selected Scientific Awards NSF CAREER Award (2023) Ole Madsen Mentoring Award (2025) IEEE ITSS WiE/YP Fellowship (2024) Harold L. Hazen Teaching Award (2022) Her lab has advised 12+ graduate students and postdocs, including: Vindula Jayawardana (PhD '24, now at Anthropic) Sirui Li (PhD '25, now at Microsoft Research) Yining Ma (Postdoc, active researcher) Zhongxia Yan (PhD '24, now at Anthropic)

• Reinforcement Learning
• Transportation Systems
• Optimization and Control
• +3 more