Andrew Childs is a Professor at the University of Maryland, affiliated with the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS). He serves as Director of the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation (RQS) and is a Fellow at the Joint Center for Quantum Information and Computer Science (QuICS). His research focuses on quantum algorithms for simulating physical systems, algebraic problems, and quantum walk protocols, with applications in quantum computing and computational complexity. University of Maryland Institute for Advanced Computer Studies (UMIACS) Joint Center for Quantum Information and Computer Science (QuICS) NSF Quantum Leap Challenge Institute for Robust Quantum Simulation Childs' research spans quantum simulation, quantum Fourier transform, phase estimation, and Hamiltonian dynamics. He has developed techniques to reduce quantum computational resources for simulating quantum systems and explored limitations of quantum computers through hidden subgroup problems and non-unitary dynamics. His publications cover diverse areas including quantum walk optimization, Hamiltonian simulation methods, and applications to cryptography and condensed matter physics. Recent works address spatial search algorithms, product formulas for commutators, and quantum routing protocols. As an educator, Childs has taught courses on quantum algorithms and information processing at both the University of Maryland and University of Waterloo, with lecture notes and materials spanning multiple years. Contact: amchilds@umd.edu | Office: ATL 3359 | Affiliated with University of Maryland's quantum research institutes.
Dr. Colleen F. Visconti serves as Professor and Program Director of the Speech-Language Pathology program within the Department of Communication Sciences and Disorders at Baldwin Wallace University. She holds a Ph.D. in Child Language Disorders from Case Western Reserve University, an M.S. in Speech-Language Pathology from Pennsylvania State University, and a B.A. in Communication Sciences from Case Western Reserve University. Her educational background includes: Ph.D. in Child Language Disorders, Case Western Reserve University M.S. in Speech-Language Pathology, Pennsylvania State University B.A. in Communication Sciences, Case Western Reserve University Visconti's research centers on the scholarship of teaching and learning and evidence-based education, with specific expertise in peer mentoring systems, interprofessional education frameworks, Zambia-based community engagement initiatives, clinical decision-making protocols, and problem-based learning methodologies. Her scholarly contributions have been disseminated through presentations at state, regional, and national conferences alongside publications in journals such as Teaching and Learning in Communication Sciences & Disorders, Perspectives on Issues in Higher Education, and The ASHA Leader. She has co-authored three significant publications: the forthcoming open-access text 'Scholarship of Teaching and Learning in CSD: Past, Present, and Future', 'Case Studies in Evidence-Based Education: A Resource for Teaching in Clinical Professions' (2021), and 'Scholarship of Teaching and Learning in Speech-Language Pathology and Audiology: Evidence-Based Education'. Additionally, she co-founded and edits the open-access journal Teaching and Learning in Communication Sciences and Disorders. Her distinguished accolades include: Distinguished Contribution Award from the Council of Academic Programs in Communication Sciences and Disorders (2023) Honors of the Association from the Ohio Speech-Language-Hearing Association (2021) Fellow of the Association Award from the Ohio Speech-Language-Hearing Association (2016) Editor's Award from the National Student Speech Language Hearing Association for co-authored article 'Diagnostic Reasoning by Experienced Speech Language Pathologists and Student Clinicians' As an active professional leader, Visconti served as President of the Ohio Speech-Language-Hearing Association (OSLHA) and currently functions as a site visitor for the American Speech-Language-Hearing Association's (ASHA) Council of Academic Accreditation. Her extensive service history includes OSLHA roles as Vice President, Director of Marketing, and University Affairs Representative, alongside ASHA contributions as Convention Committee Member, Special Interest Division Coordinator, and State Legislative Councilor for Ohio. In her academic capacity, she teaches graduate/undergraduate courses including Foundations in Evidence-Based Practice, Articulation and Phonology Disorders, and international Capstone courses in Zambia.
Robert Wilson is an Associate Professor in the School of Psychology at Georgia Institute of Technology. His research focuses on computational cognitive neuroscience, reinforcement learning, decision making, and their applications in psychiatry and aging. Wilson leads a lab integrating computational modeling with behavioral experiments, neuroimaging, and neurostimulation to explore the algorithms underlying human cognition. He holds a Ph.D. in Bioengineering from the University of Pennsylvania (2009). Education: Ph.D. in Bioengineering, University of Pennsylvania, 2009 Research Interests: Wilson’s work spans computational models of decision making, reinforcement learning dynamics, and the neural mechanisms of explore-exploit trade-offs. His lab investigates phishing detection cognition, navigation strategies, and perceptual decision making, with recent studies on aging-related cognitive decline and psychiatric disorders. Publications: His recent work includes studies on computational models of exploration strategies, phishing susceptibility (PEST task), and aging effects on decision-making. Articles often bridge neuroscience and AI, such as applying reinforcement learning to large language models. Awards & Grants: While no formal awards are listed, his research has been supported by grants exploring computational psychiatry and neuroimaging. Labs & Teams: Wilson directs a multidisciplinary lab at Georgia Tech, collaborating with experts in AI, neuroscience, and clinical psychology to advance computational theories of the mind-brain relationship.
Professor Nagi Gebraeel serves as the Georgia Power Early Career Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology, where his research integrates predictive analytics, machine learning, and optimization for industrial IoT applications. His work focuses on real-time equipment diagnostics, prognostics, and operational decision-making in critical infrastructure systems. Education: Ph.D. in Industrial Engineering (2003), Purdue University M.S. in Industrial Engineering (1998), Purdue University Research Focus: Dr. Gebraeel develops statistical learning algorithms for IoT-enabled maintenance, repair, and operations (MRO), with emphasis on federated learning frameworks for distributed fault diagnosis and cybersecurity protection against Industrial Control System (ICS) attacks. His research spans manufacturing, power generation, and deep space habitats through NASA's HOME Space Technology Research Institute, where he pioneers self-aware habitat systems. Recent work addresses data heterogeneity in high-consequence industrial environments using causal-informed analytics. Publication Trends: His 2024-2025 publications demonstrate a strong trajectory toward distributionally robust optimization for maintenance logistics, federated learning architectures for distributed fault diagnosis, and prognostics for complex systems like offshore wind farms and industrial robots. Key themes include handling imbalanced data in fault diagnosis, state-space representations for interdependent systems, and cybersecurity integration in manufacturing networks. Awards and Recognition: NSF CAREER Award (2007) SAE Aircraft Electrical Power System Recognition Award (2008) SAE Materials Modeling and Testing Recognition Award (2006) IEEE-AUTOTESTCON Certificate (2006) Fellow of the Institute of Industrial and Systems Engineers Advising and Funding: Dr. Gebraeel mentors doctoral students including Michael Ibrahim (2025 IISE Best Student Paper winner), Heraldo Rozas (now Assistant Professor at University of Chile), Ayush Mohanty, and Nazal Mohamed. He secured a $500,000 NSF grant in August 2025 for AI-driven cybersecurity in distributed manufacturing networks and leads NASA-funded research on deep space habitat systems. His work bridges academic research with industry applications through Georgia Tech's Strategic Energy Institute collaborations. Research Infrastructure: He directs the Analytics and Prognostics Systems laboratory at Georgia Tech's Manufacturing Institute and leads the Predictive Analytics and Intelligent Systems (PAIS) research group. Previously, he served as associate director of Georgia Tech's Strategic Energy Institute (2014-2019), fostering data science applications in energy systems.
Shaker A. Zahra is a Professor of Strategy and Entrepreneurship at the Carlson School of Management, University of Minnesota , where he holds the Robert E. Buuck Chair of Entrepreneurship. He has served as Department Chair, Director of the Holmes Center for Entrepreneurship, and Academic Co-Director of Carlson Ventures Enterprises, and was Founding Co-Director of the Center for Integrative Leadership. Previously, he held the Paul T. Babson Distinguished Professorship at Babson College and faculty roles at Georgia State University and the University of Twente (Netherlands). Education : PhD in Business Administration (University of Mississippi), MBA (National University), B. Commerce (Al-Azhar University) His research focuses on corporate and international entrepreneurship , dynamic capabilities , and social entrepreneurship , particularly in technology-based industries. He explores industry emergence, strategic novelty, and firm heterogeneity, applying theories across global markets. His recent articles emphasize corporate entrepreneurship, international new ventures, and the role of dynamic capabilities in innovation. His work spans industries like robotics, software, pharmaceuticals, and nanotechnology, with studies in China, Brazil, India, and Europe. Scientific Awards : 2014 Global Award for Entrepreneurship Research, 5 Honorary PhDs, Fellowships from AOM, IFERA, and others, and over 20 Best Paper Awards. He has advised 75+ PhD students, taught across undergraduate to executive programs, and consulted for global technology firms. His leadership includes roles on 25+ journal editorial boards, organizing conferences, and delivering 40+ keynote speeches worldwide.
Deval Desai serves as Reader in International Economic Law at the University of Edinburgh's Edinburgh Law School, a position he has held since 2020 after serving as Lecturer from 2020-2023. His academic career includes research positions at Harvard Law School and the Geneva Graduate Institute. Dr. Desai also brings extensive practical experience from a decade working with the World Bank on rule of law and governance in sub-Saharan Africa, as well as advising the United Nations on rule of law issues. Dr. Desai's educational background includes an MA in History and French Literature from Oxford University, followed by legal training at City University/BPP Law School (PGDipL and PGDipLP), and advanced law degrees (LLM and SJD) from Harvard Law School. At Harvard, he held prestigious fellowships including the Byse Fellowship, Program on Negotiation Next Generation Fellowship, and Institute for Global Law and Policy Fellowship. MA (Oxon), History and French Literature PGDipL, PGDipLP, City University/BPP Law School LLM, Harvard Law School SJD, Harvard Law School Dr. Desai's research centers on law and development, administrative law and regulation, theories of the state, and patterns of knowledge and authority across the Global North and South. His work examines institutional reform processes, particularly how expertise and knowledge operate within rule of law initiatives. His interdisciplinary approach draws from legal and social theory, development studies, international relations, and performance studies, as evidenced in his monograph Expert Ignorance (Cambridge University Press). His recent work focuses on fiscal sociology, administrative law in the Global South, and the politics of social welfare provision. Dr. Desai's publications span leading journals in law, political science, and development studies, revealing a consistent focus on the intersections between legal institutions, governance, and development. His work demonstrates increasing engagement with comparative methodologies and critical perspectives on knowledge production in global governance. Recent articles show particular attention to fiscal policy, welfare systems, and responses to global crises like the Covid-19 pandemic, with comparative studies between India and European contexts. Dame Muriel Spark Medal (2024, Royal Society of Edinburgh) Chancellor's 'Rising Star' Award (2023, University of Edinburgh) Member of the Young Academy of Scotland Fellow of the Royal Society of Arts Fellow of the Young Academy of Europe Dr. Desai has secured significant research funding from diverse international sources, including a £2.1 million Swiss National Science Foundation Sinergia grant titled 'Reversing the Gaze: Towards Post-Comparative Area Studies' where he serves as PI. He also leads projects funded by the British Academy, University of Edinburgh's Big Ideas Accelerator, Scottish Funding Council, and Foreign, Commonwealth, and Development Office. His commitment to mentoring is evident through his recognition with the Susan Manning Award for Inspiring Mentor and his leadership in establishing programs like the Global Scholars' Academy at the Geneva Graduate Institute and the Global Justice summer school at CEU. As editor-in-chief of the Cambridge University Press book series 'Elements in Legal Theory and the Global South' and serving on multiple editorial boards, Dr. Desai plays a significant role in shaping scholarly discourse. His current research projects examine 'loss' in legal institutions guiding transitional processes, constitutional implications of fiscal arrangements in fragile contexts, and social welfare provision in India and Italy.
Dr. Nanpeng Yu is a Full Professor at the University of California, Riverside , serving as Vice Chair and Graduate Advisor in the Department of Electrical and Computer Engineering . He maintains cooperative faculty affiliations with the Department of Computer Science and Department of Statistics , and directs the Energy, Economics, and Environment Research Center at UCR. Education : B.S. in Electrical Engineering from Tsinghua University (2006), M.S. in Electrical Engineering and Economics, and Ph.D. from Iowa State University (2010) Prior Industry Experience : Senior Power System Planner and Project Manager at Southern California Edison (2011-2014) Dr. Yu’s research bridges smart grid technologies , data-driven optimization , and machine learning for energy systems. Key areas include voltage control , renewable energy integration , transportation electrification , and grid resilience . His recent work focuses on physics-informed graph learning for unit commitment problems and adversarial purification in power system classifiers. The AI-Energy Nexus Laboratory under Dr. Yu has produced impactful publications in Applied Energy , IEEE Transactions on Power Systems , and Transportation Research series, covering topics like heavy-duty EV charging infrastructure and dynamic distribution network reconfiguration . Lab members have won the American-Made Digitizing Utilities Grand Prize ($300,000) from the U.S. DOE. Leadership Roles : Chair, IEEE Power and Energy Society Distribution System Operation and Planning Subcommittee Chair, IEEE Power and Energy Society Working Group on Data-Driven Modeling for Power Distribution Networks Associate Editor, IEEE Transactions on Smart Grid and IEEE Power Engineering Letters Scientific Awards : Regents Faculty Fellowship Regents Faculty Development Award Multiple IEEE Best Paper Awards
Kathleen R. McNamara is Professor of Government and Foreign Service at Georgetown University, where she also co-founded the Global Political Economy Project with Professor Abe Newman. Her work centers on the European Union, globalization, and the cultural and political foundations of market authority. Her research interests include the political economy of the European Union, monetary politics, culture and identity in global markets, institutional change, and the democratic legitimacy of supranational governance. She examines how ideas, norms, and collective identities shape economic integration and state formation, especially in Europe. Her recent publications (2020–2024) reveal a strong focus on the EU’s geopolitical turn, industrial policy transformation, the impact of crises like COVID-19 on globalization, and the interplay between democracy and populism. These works reflect a deep engagement with both theoretical and policy-relevant dimensions of contemporary European and global political economy. International Studies Association 2018 Distinguished Scholar in International Political Economy ISA 2020 SWIPE Award for Mentoring Women in International Political Economy German Marshall Fund Fellow Fulbright Fellow Simone Veil Fellow at the European University Institute (2023) McNamara has been a visiting scholar at the Russell Sage Foundation, taught at Princeton University and Sciences Po (Paris), and advised the US National Intelligence Council. She is active in public scholarship, writing for Foreign Affairs , Foreign Policy , and The Washington Post . She is a founding figure in the Global Political Economy Project, which aims to reframe the study of global markets through interdisciplinary and critical lenses.
Wim Gevers is a faculty member at the Université libre de Bruxelles (ULB) and leads the CS4S – Cognitive Control & Sleep laboratory within the CRCN research centre. His work bridges cognitive psychology, neuroscience and sleep research to understand how the brain exerts control over thoughts and actions and how sleep contributes to these processes. Research Interests Cognitive Control & Metacognition: Investigating how subjective experiences such as confidence and the "urge-to-err" guide strategic adjustments in behaviour. Working Memory & Ordinal Cognition: Examining how order information is maintained and manipulated, and how these processes relate to mathematical competence. Sleep, Memory & Decision Making: Exploring how sleep-dependent consolidation influences motor learning and decision strategies. Across his 2022–2025 publications a clear trend emerges: a focus on metacognitive monitoring —how humans evaluate their own cognitive states—and the role of emotional and temporal context in shaping those evaluations. Studies range from reaction-time introspection and confidence judgements in perceptual tasks to the impact of aging and depression on metacognitive accuracy. Doctoral Supervision & Mentoring Whitney Stee (PhD 2024) – Sleep-dependent structural brain reorganization & motor learning Gaia Corlazzoli (PhD 2024) – Subjective experience in decision-making Myrtille Dewulf (PhD 2023) – Ordinal coding mechanisms in working memory Rebeca Sifuentes-Ortega (PhD 2023) – REM sleep and memory reactivation All dissertations were defended at ULB, Faculté des Sciences psychologiques et de l’éducation, with Wim Gevers formally listed as Promotor . Laboratory & Collaborative Networks As head of CS4S, Gevers coordinates a multidisciplinary team that combines behavioural experimentation, EEG/MEG, computational modelling and sleep polysomnography. The lab is embedded in the larger CRCN ecosystem, fostering collaborations with groups such as CO3 (consciousness), LCLD (language & deafness), and UR2NF (neurofunctional imaging).
Burak Ozdoganlar is a Ver Planck Endowed Chair Professor of Mechanical Engineering at Carnegie Mellon University (CMU) and Associate Director of the Engineering Research Accelerator. He holds courtesy faculty positions in Biomedical Engineering and Materials Science and Engineering. Ozdoganlar earned his Ph.D. in Mechanical Engineering from the University of Michigan (1999), M.S. degrees from Ohio State University (1993, 1995), and a B.S. in Aeronautical Engineering from Istanbul Technical University (1991). Ph.D., Mechanical Engineering, University of Michigan (1999) MS, Mechanical Engineering, Ohio State University (1995) MS, Aeronautical and Astronautical Engineering, Ohio State University (1993) BS, Aeronautical Engineering, Istanbul Technical University (1991) Ozdoganlar’s research focuses on multi-scale manufacturing processes (macro/micro/nano), precision engineering , structural dynamics , and modal testing , with applications in biomedical device fabrication , microneedle arrays , soft electronics , and 3D ice printing for vascular networks. His work bridges computational modeling with experimental validation. Recent scientific awards include the 2023 AIMBE College of Fellows induction, ASME Fellow (2019), and NSF CAREER Award (2006). He served as interim CTO of the Advanced Robotics for Manufacturing (ARM) Institute and chaired the ASME-MED Manufacturing Equipment Technical Committee. Ozdoganlar leads projects in scalable manufacturing for implantable medical devices , bioelectric medicine , and wearable robotics . His lab develops 3D ice-printed vascular templates for tissue engineering and liquid metal circuits for soft electronics, funded by institutions like the Manufacturing Futures Institute and ARPA-H.
Prof. Dr. Mirko Kremer is a Professor of Supply Chain Management at the Frankfurt School of Finance & Management since July 2014. Prior to this, he was an Assistant Professor at Pennsylvania State University (2008-2014) and held visiting roles at London Business School, Kellogg School of Management, and INSEAD. He earned a Ph.D. in Business Administration from the University of Mannheim (2008), with prior studies in Business Administration at Mannheim (1999-2003) and Economics at Ruhr-Universität Bochum (1997-1999). Research Focus: Micro-behavioral foundations of supply chains, inventory management, sales forecasting, and service systems. Editorial Roles: Department Editor for Production and Operations Management , Associate Editor for Operations Research . Teaching: Courses in Operations Management, Supply Chain Strategy, and quantitative decision modeling at Frankfurt School, INSEAD, London Business School, and Kellogg School of Management. Research Trends: His work bridges behavioral economics with supply chain operations, emphasizing how human decision-making (e.g., managerial biases, consumer behavior) impacts inventory systems, pricing strategies, and forecasting accuracy. Recent articles focus on diagnostic errors under congestion, strategic sourcing biases, and dynamic pricing experiments.
Phuong H. Nguyen is an Associate Professor at the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). He leads the digital Power & Energy Systems (digi-PES) lab, focusing on smart energy systems, distributed control, and IoT integration for future energy grids. His research addresses energy transition challenges, including microgrid optimization, flexibility markets, and data-driven grid management. Nguyen holds a PhD from TU/e (2010) and has held visiting researcher positions at Clemson University. His work contributes to UN SDG goals related to affordable and clean energy. Education: Bachelor's in Electrical Engineering, Hanoi University of Science and Technology (2002) Master's in Electrical Engineering, Asian Institute of Technology (2004) PhD in Electrical Engineering, TU/e (2010) Key Research Areas: Smart Grids and Cyber-Physical Systems Distributed Energy Resource Management Local Energy Markets and Flexibility Provision IoT and Big Data in Energy Systems Awards & Recognition: Best Paper Award SEST 2020 Projects & Grants: REACT-D: Reactive Power Management (Project Manager) Al-driven Applications to Smarten Power System Operation (Project Lead) UNIversity Campus as a Self-Regulated Network (Co-Manager) Labs & Teams: The digi-PES lab develops cyber-physical tools for energy transition, including microgrid simulations, flexibility markets, and grid resilience strategies.
Kevin Pisciotta is an Assistant Professor of Finance at the University of Kansas School of Business, specializing in empirical corporate finance, initial public offerings (IPOs), and information intermediaries. His work bridges corporate finance theory with real-world market dynamics, focusing on IPO processes, analyst behavior, and economic impacts of social issues like opioid abuse and sports betting. Education: Ph.D. in Business Administration, Pennsylvania State University M.S. in Finance, University of Delaware B.S. in Finance, University of Delaware Research Interests: His research explores how IPO bookbuilding mechanisms influence market outcomes, the role of sell-side analysts in information dissemination, and the macroeconomic consequences of phenomena like opioid abuse and sports gambling. He also investigates labor economics through the lens of corporate innovation and workforce productivity. Publications Trends: Recent work examines the interplay between sports betting and household financial stability (2024), IPO marketing strategies post-JOBS Act reforms (2018), and the spillover effects of opioid abuse on regional innovation ecosystems (2023). His studies frequently employ large-scale datasets to analyze market microstructure and policy impacts. Grants/Advising: No specific grants or advisee names are listed in available materials. Teaching experience includes undergraduate courses in investments, international finance, and corporate financial management. Labs/Teams: No dedicated lab affiliation is mentioned, though collaborations with institutions like Pennsylvania State University and the University of Delaware are implied through his educational background and co-authorships.
Evangelos Katsanos is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), where he contributes to research and education in structural engineering and safety. He is affiliated with the Structures and Safety research group and actively supervises PhD students. His work spans advanced computational methods for structural monitoring and risk assessment. Research Interests: His expertise lies in structural dynamics, modal analysis, state estimation, and structural health monitoring of civil and offshore infrastructure. He applies physics-informed models and data-driven techniques to assess structural response under extreme loading conditions such as earthquakes, storms, and wave impacts. His research integrates finite element modeling with Kalman filtering methods for enhanced system identification and damage detection. The recent publications highlight a strong trend toward physics-informed and data-driven structural health assessment, particularly for offshore and wind energy infrastructure. Topics include joint input-state estimation, slamming loads on offshore jackets, and damage identification using Kalman filters. These works emphasize robust modeling under uncertainty and real-world applicability in extreme environments. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Evangelos Katsanos is the main supervisor of PhD student Al-Hagri, A., and co-supervisor or collaborator on several research projects. He is Principal Investigator (PI) or co-PI on multiple funded research initiatives, including projects on physics-informed structural health assessment of offshore infrastructures, residual bearing capacity of damaged concrete beams, and quality assurance for construction 3D printers. These projects reflect his leadership in interdisciplinary and applied research with societal impact. Labs and Teams: He is part of the research environment at DTU Construct, specifically within the Structures and Safety group, which focuses on resilience, risk assessment, and advanced monitoring of civil and mechanical systems. His collaborations extend to national and international partners in offshore and wind energy engineering.
Yuhua Wang serves as the Ford Foundation Professor of Modern China Studies within Harvard University's Faculty of Arts and Sciences, Department of Government. His scholarly work establishes him as a leading authority on Chinese political development, state capacity, and historical institutional analysis across imperial and contemporary contexts. His academic foundation includes: B.A. from Peking University Ph.D. from the University of Michigan Professor Wang's research program integrates comparative politics with Chinese studies through core interests in bureaucracy , institutions , judiciary and public law , political economy & development , political geography , and state-society relations . He employs a methodological triad of historical , qualitative , and quantitative approaches to analyze China's political evolution. His work uniquely bridges macro-historical patterns with contemporary governance challenges, particularly examining how historical legacies shape modern state capacity and institutional resilience in authoritarian contexts. Analysis of his publication trajectory reveals consistent focus on state development mechanisms, with increasing sophistication in comparative historical methodology. Recent work demonstrates expanded geographic scope beyond China while maintaining analytical depth in imperial political economy. His research shows growing integration of cross-national datasets with deep historical case studies, reflecting broader trends in political science toward mixed-method designs for complex institutional analysis. His distinguished recognition includes: 2023 Lubbert Best Book Award in Comparative Politics from the American Political Science Association for The Rise and Fall of Imperial China Harvard College Professor appointment (2025) Professor Wang maintains active research leadership through extensive publication in premier journals including American Political Science Review and Comparative Political Studies , with significant contributions to theoretical frameworks like State-in-Society 2.0. His work generates substantial policy-relevant insights on corruption, judicial review, and urban governance in China. As a core faculty member in Harvard's Government Department, he contributes to the university's intellectual ecosystem through cross-disciplinary collaboration and participation in research initiatives focused on Asian political development, though specific lab affiliations are not documented in available sources.
