جست‌وجوی استاد و پژوهشگر

Cynthia Cruickshankمشاهده پروفایل

استاد

• Building Energy Systems
• High Performance Buildings
• Solar-Assisted Heat Pumps
• +۵ مورد دیگر

Cynthia Cruickshank is a Full Professor in Mechanical and Aerospace Engineering at Carleton University and currently serves as Associate Dean for Equity, Diversity, and Inclusion within the Faculty of Engineering and Design. She holds degrees including a B.Sc. and Ph.D. from Queen's University. Her research focuses on advanced building energy systems, high-performance buildings, and sustainable construction materials. Key areas include solar-assisted heat pumps, thermal energy storage (both sensible and latent), and solar absorption cooling. She leads the Centre for Advanced Building Envelope Research (CABER), dedicated to innovative building envelope technologies. Her recent work examines telework impacts on home energy use, smart thermostat data analysis, and the integration of bio-based phase change materials in construction. Over 150 peer-reviewed articles highlight her contributions to energy efficiency, renewable energy systems, and building retrofit strategies. Prof. Cruickshank's research teams collaborate on projects such as solar-driven adsorption systems, vacuum insulation panel retrofits, and policy implications of remote work. Her labs emphasize experimental validation of novel materials and systems through guarded hot box testing, hygrothermal modeling, and in-situ evaluations.

Bryan S. Grahamمشاهده پروفایل

استاد

• Econometrics
• Network Analysis
• Development Economics
• +۴ مورد دیگر

Bryan S. Graham is a Professor of Economics at the University of California, Berkeley. He specializes in econometrics, focusing on network formation, social interactions, and panel data analysis. His research explores topics such as peer effects, poverty traps, and small sample properties of econometric methods. Graham holds a Ph.D. from Harvard University (2005) and has held visiting positions at Harvard, CEMFI (Spain), and NYU. He is an elected Fellow of the International Association of Applied Econometrics. Education highlights include a Rhodes Scholarship (1997–2000) at Oxford University, a Fulbright Scholarship (1997–1998) at the Australian National University, and a B.A. in Quantitative Economics from Tufts University (1993–1997). His work has been published in top journals like Econometrica and the Review of Economic Studies . Key awards include NSF grants (multiple), the Review of Economics Studies Tour, and the Daniel Ounjian Prize. Graham’s research has practical applications in policy analysis, particularly in education and social spillover effects. He also actively contributes to academic service, including editorial roles at Review of Economics and Statistics and Journal of Econometrics .

Seojeong Leeمشاهده پروفایل

دانشیار

• Econometrics
• Statistical Inference
• Generalized Method of Moments (GMM)
• +۸ مورد دیگر

Associate Professor Seojeong Lee is a faculty member at the University of New South Wales (UNSW) Business School, School of Economics, specializing in advanced econometric theory. She joined UNSW in 2012 after completing her PhD at the University of Wisconsin-Madison and has established herself as a leading researcher in robust inference methods under complex data conditions. Her educational background includes: Ph.D. in Economics, University of Wisconsin-Madison (2008-2012) M.A. in Economics, Seoul National University (2006-2008) B.A. in Economics and Political Science (dual major), Seoul National University, summa cum laude (2000-2006, with military service 2002-2004) Professor Lee's research centers on developing theoretically rigorous methods for econometric inference, with primary focus on generalized method of moments (GMM), instrumental variables (IV), and two-stage least squares (2SLS) under model misspecification. Her work addresses critical challenges including invalid/many/weak instruments, heterogeneous treatment effects, and clustered sampling, contributing foundational advances to statistical inference in economics. Analysis of her recent publications reveals a strong trajectory in refining methods for many-instrument settings and misspecified models, with increasing emphasis on computational implementations (e.g., Stata packages) and applications to causal inference. Her work bridges theoretical econometrics with practical policy-relevant analysis. Her scientific achievements include: Australian Research Council DECRA Fellowship (2017-2019) UNSW Dean's Research Fellowship (2020-2022) Zellner Thesis Award Honorable Mention from American Statistical Association (2014) Multiple competitive UNSW research awards Professor Lee actively supervises PhD candidates Wei Tian and Fangzhou Yu, and has secured over AUD 700,000 in research funding including ARC Discovery Projects. She teaches undergraduate and postgraduate econometrics courses, integrating her research into pedagogy. Her ongoing work continues to push boundaries in robust econometric methodology for modern data challenges.

Ed Pickeringمشاهده پروفایل

مدرس ارشد

• Metallurgy
• Materials Science
• Nuclear Engineering
• +۹ مورد دیگر

Ed Pickering is a Senior Lecturer in Metallurgy and Materials Engineering at the University of Manchester. He has held roles since 2015, advancing to Reader in 2023. His affiliations include the Henry Royce Institute (Research Area Lead for Advanced Metals Processing), the Advanced Metallics System CDT and Fusion CDT Management Boards, and industrial technical advisory panels. Ed’s work bridges academic and industrial collaboration with Rolls-Royce, UKAEA, Airbus, EDF, and Sheffield Forgemasters. Ed completed his undergraduate studies (2011) and PhD (2014) in Materials Science at the University of Cambridge, followed by a Research Associate role in Cambridge’s Rolls-Royce UTC. His academic trajectory includes: Senior Lecturer (2019–present) Reader (2023–present) Ed’s research focuses on phase transformations, microstructural characterization, and alloy development for nuclear (fission/fusion) and aerospace applications. Key themes include optimizing processing routes to enhance material properties while minimizing waste and environmental impact. His studies frequently address steel, high-entropy alloys, and novel refractory alloys, emphasizing their service performance under extreme conditions. His scientific contributions span structural integrity assessment of welded joints, machine learning applications in metallurgy, and material flow uncertainties in forging. He has also advanced heat treatment optimization for reactor steels and explored cobalt-free hardfacing alloys. Frank Fitzgerald Medal (2017) Grunfeld Memorial Medal (2021) In advising and grants, Ed leads the Materials Performance Centre (MPC) and co-leads the NEWAM project on wire-additive manufacturing. He supervises research across these initiatives and collaborates with over 30 PGR students in interdisciplinary teams. His work also involves managing technical facilities like the Advanced Metal Processing platform. Ed’s laboratory affiliations include the MPC and WAAM-based Engineering and Process Metallurgy groups, where he explores sustainable materials solutions for energy and aerospace industries.

• Child Development
• Self-Regulation
• Diversity Science
• +۶ مورد دیگر

Ying Zhang serves as an Assistant Professor in the Department of Psychology within Clarkson University's Lewis School of Health & Life Sciences, where her research examines developmental trajectories of cognitive, social, and emotional functioning from early childhood through emerging adulthood. Her work emphasizes contextual influences including cultural dynamics, socioeconomic conditions, and family relationships on self-regulation development. Her educational background includes: Ph.D. in Psychology from Syracuse University (2021) M.Ed. in Education from Jilin University (2012) B.Eng. in Engineering from University of Jinan (2008) Grounded in Diversity Science , Dr. Zhang investigates ecological influences on child self-regulation, particularly examining how intimate partner violence exposure, parental mental health, and socioeconomic disparities create pathways for risk and resilience. Her methodological approach integrates advanced statistical modeling with longitudinal designs, latent profile analyses, and machine learning techniques to analyze large secondary datasets, generating insights applicable to real-world interventions for vulnerable populations. Analysis of her 15 most recent publications (2023-2025) reveals three dominant research streams: (1) intricate mechanisms linking intimate partner violence to child self-regulation through parenting stress pathways, (2) socioeconomic and cultural influences on developmental outcomes using machine learning methodologies, and (3) diversity promotion in higher education contexts. Her work increasingly incorporates technology applications, including AI-based violence detection systems. Dr. Zhang actively involves undergraduate researchers in her projects, as evidenced by numerous student co-authorships, and teaches courses including Introduction to Psychology, Cultural Psychology, Diversity Science, and Prenatal/Child Development. Her office is located in Clarkson's Science Center (Box 5825) with open hours Mondays and Fridays 1-3:30pm.

Guenter J. Hitschمشاهده پروفایل

استاد

• Quantitative Marketing
• Industrial Organization
• Consumer Choice Modeling
• +۷ مورد دیگر

Günter J. Hitsch is the Kilts Family Professor of Marketing at the University of Chicago Booth School of Business, where he has been a faculty member since 2001. His academic leadership extends to editorial roles as Co-Editor of the Journal of Quantitative Marketing and Economics and Associate Editor at Marketing Science and Management Science. Hitsch's educational journey includes an undergraduate degree from the University of Vienna (1995), followed by master's degrees in economics (1997, 1998), and a PhD in economics from Yale University (2001). This strong foundation in economics informs his approach to marketing research. His research program focuses on quantitative marketing and industrial organization, with particular emphasis on dynamic models of firm and consumer decision-making. Key areas include advertising effectiveness, pricing strategies, sequential learning and experimentation, and intertemporal consumer choice. Hitsch is pioneering in applying causal inference and machine learning to solve practical marketing problems such as optimal customer targeting. His work on dating and marriage markets demonstrates innovative application of economic theory to social phenomena. Hitsch's publication trajectory shows evolution from foundational work on consumer choice and switching costs to more recent applications of machine learning in marketing contexts. His research spans theoretical development and practical application, examining everything from private label demand during economic recessions to television advertising effectiveness across hundreds of brands. Co-Editor, Journal of Quantitative Marketing and Economics Associate Editor, Marketing Science Associate Editor, Management Science Hitsch's editorial leadership has significantly shaped the direction of quantitative marketing research. His commitment to methodological rigor and generalizable results ensures his work provides reliable inputs for both marketing practitioners and academic researchers. As an educator, Hitsch teaches advanced courses in quantitative marketing and business analytics, with scheduled courses for 2024-2026. He emphasizes that 'good marketing isn't fluffy,' challenging students to develop analytical approaches to marketing problems. His research philosophy prioritizes providing generalizable results that apply beyond specific case studies, serving as inputs for both practitioner decision-making and academic advancement.

Christina Raaschمشاهده پروفایل

استاد

• Digital Transformation
• Open Innovation
• User Innovation
• +۷ مورد دیگر

Prof. Dr. Christina Raasch is Professor of Digital Economy at Kühne Logistics University (KLU) and holds a joint appointment with the Kiel Institute for the World Economy (IfW) . Since 2017 she has led research and teaching on how digitalization reshapes innovation processes, enterprise crowdfunding, and customer-driven disruptive innovation. Education Habilitation (Dr. habil.) in Business Administration, Hamburg University of Technology (TUHH), 2012 PhD in Management, University of Erlangen-Nuremberg, 2006 MSc (lic. oec.) in Economics & Management, University of St. Gallen (HSG), 2002 Visiting Researcher, MIT Sloan School of Management, 2010-2012 Research Interests Prof. Raasch’s work centers on digital transformation of innovation . She investigates how firms leverage digital technologies—ranging from AI to crowdfunding platforms—to enhance idea generation, evaluation, and implementation. Core themes include: Open & User Innovation: understanding when and how users become valuable innovators inside and outside firms. Disruptive Innovation Dynamics: analyzing whether disruptive ideas stem from users or producers under varying environmental conditions. Enterprise Crowdfunding: designing decentralized decision-making systems that mitigate hierarchy-induced biases. Publication Trends Her 70+ publications reveal a systematic exploration of demand-side innovation . Early work modeled welfare impacts of user innovation; recent studies use large-scale field data from Siemens and other multinationals to uncover cognitive and social biases in idea evaluation. A consistent thread is bridging micro-level behavioral insights with macro-level policy and strategy implications. Scientific Awards & Honors Fellow of the Open and User Innovation (OUI) Society Host of the 2023 OUI Conference at KLU Research Funding & Industry Collaboration Current grants exceed €2 million and include: FabCity-Citizen Extension (2025-2026) – decentralized urban innovation funded by the German Federal Ministry of Education and Research. EvaluationShirking (2024-2026) – idea evaluation biases in collaboration with a global industrial manufacturer. Idea Evaluation in Democratized Innovation (2019-2023) – DFG-funded project on enterprise crowdfunding design. Labs, Teams & Knowledge Transfer Prof. Raasch leads the Open & User Innovation Research Group at KLU, supervising doctoral researchers and managing industry partnerships with firms in automotive, high-tech, and logistics sectors. She regularly contributes to policy panels and media outlets such as Harvard Business Manager and Springer Professional .

Liew Kim Meowمشاهده پروفایل

استاد

• Composite Materials
• Multiscale Modeling
• Structural Optimization
• +۵ مورد دیگر

Prof. Liew Kim Meow is a Chair Professor of Civil Engineering at City University of Hong Kong (CityU) since 2005. He previously served as Head of the Department of Architecture and Civil Engineering (2011–2017) and held tenured professorial positions at Nanyang Technological University (NTU), Singapore. He earned BS from Michigan Tech (1985), MEng (1988), and PhD (1991) from the National University of Singapore. His research focuses on composite materials, multiscale modeling, structural optimization, and computational mechanics. Notable contributions include pioneering work on carbon nanotube-reinforced composites and advanced numerical methods. He has published over 800 papers with 38,000+ citations (H-index 97). Education: BS, Michigan Technological University (1985) MEng, National University of Singapore (1988) PhD, National University of Singapore (1991) His awards include Clarivate Analytics' Highly Cited Researcher (2018–2019), Xiangjiang Scholar (2017), and multiple fellowships from professional institutions. He serves as Editor-in-Chief of International Review of Civil Engineering and holds editorial roles in over a dozen journals. He founded key research centers like the Nanyang Center for Supercomputing and Visualization (NTU) and led initiatives in computational mechanics. His work influences global research in composite materials and structural analysis.

• Photovoltaics
• Solar Energy Systems
• Silicon Solar Cells
• +۵ مورد دیگر

Jef Poortmans is a Visiting Professor at KU Leuven, Belgium, specializing in photovoltaic technologies and solar energy systems. His research spans multiple applications including conventional solar installations, agrivoltaics, vehicle-integrated photovoltaics, and tandem solar cell configurations. Affiliated with the Electa department at KU Leuven, he maintains an active research profile with numerous publications extending into 2025. His research interests focus on advancing photovoltaic technology across multiple dimensions. Poortmans investigates thermal modeling to improve energy yield predictions, develops lightweight PV modules for vehicle integration, explores agrivoltaic systems that combine agriculture with solar energy production, and works on next-generation perovskite and tandem solar cell technologies. His work often addresses practical implementation challenges including reliability under various environmental conditions, mechanical integration requirements, and performance optimization for specific applications. Analysis of his recent publications reveals a strong emphasis on practical implementation challenges of photovoltaic systems. His work spans fundamental materials science (particularly for perovskite and thin-film technologies), system integration challenges (especially for vehicle applications), and innovative approaches to land use optimization through agrivoltaics. A recurring theme is addressing reliability and performance issues under real-world operating conditions rather than ideal laboratory settings. Poortmans frequently collaborates with researchers across multiple institutions, indicating strong industry and academic connections within the photovoltaics community. His work appears in high-impact journals including Solar Energy Materials and Solar Cells, Scientific Reports, and Advanced Functional Materials, demonstrating recognition within the field. While specific grant information isn't detailed in the provided materials, his extensive publication record across diverse photovoltaic applications suggests successful funding acquisition for multiple research projects. His involvement in PhD theses supervision indicates active mentorship of next-generation researchers in the photovoltaics field. His research group appears to focus on bridging fundamental photovoltaic science with practical engineering applications, particularly addressing the reliability and integration challenges that prevent wider adoption of solar technologies in non-traditional applications like vehicles and agricultural settings.

• Econometrics
• Nonparametric Methods
• Financial Economics
• +۳ مورد دیگر

Joachim Freyberger is a Professor at the University of Bonn , affiliated with the Department of Economics. He is associated with the Institute for Financial Economics & Statistics and the Hausdorff Center for Mathematics, focusing on econometrics and nonparametric methods. Institute for Financial Economics & Statistics Hausdorff Center for Mathematics His research spans econometrics, nonparametric identification, instrumental variables, and financial economics. Key areas include shape restrictions in estimation, interactive fixed effects in panel data, and structural analysis of consumer markets and asset pricing. Recent publications show a focus on nonparametric econometric theory, interactive fixed effects models, and applications to financial panels. Papers address challenges in identification, confidence band construction, and digital market analysis. He teaches advanced courses including Econometrics I and II , Topics in Econometrics and Statistics , and Research Module in Econometrics at Bonn, as well as introductory and graduate econometrics at UW-Madison.

Òscar Jordàمشاهده پروفایل

استاد

• Econometrics
• Macroeconomics
• Monetary Economics
• +۲ مورد دیگر

Òscar Jordà serves as Professor of Economics at the University of California, Davis and Senior Policy Advisor at the Federal Reserve Bank of San Francisco. His academic career bridges rigorous econometric methodology with practical monetary policy applications, maintaining active roles in both academic and central banking institutions. Dr. Jordà's research spans five major areas: econometric methodology (particularly local projections), macroeconomics, monetary economics, economic history, and international economics. His methodological innovations in local projections have transformed how economists estimate dynamic causal effects, providing alternatives to traditional VAR approaches with greater robustness to model misspecification. His historical work with Moritz Schularick and Alan Taylor on centuries of financial data has revealed critical patterns in credit cycles, financial crises, and their macroeconomic consequences. His recent publications demonstrate significant evolution in research focus from traditional monetary policy analysis toward contemporary challenges including pandemic economic impacts, climate economics, and labor market stress measurement. The methodological thread connecting these diverse topics remains his expertise in dynamic causal inference and time series analysis. Dr. Jordà maintains extensive editorial responsibilities across leading economics journals including as Co-editor of the International Journal of Central Banking, Guest Editor for the European Economic Review, and Associate Editor for both the Journal of Applied Econometrics and the Journal of International Economics. He previously served on editorial boards for the Journal of Business and Economic Statistics and the Journal of the Spanish Economic Association. As Founding Chair of the Spanish Business Cycle Dating Committee, he has contributed to establishing systematic historical chronologies of economic activity. His work with Schularick and Taylor has produced influential datasets covering bank credit, financial crises, and asset returns across 17 advanced economies since 1870, enabling unprecedented historical analysis of financial stability.

Joseph Talghaderمشاهده پروفایل

استاد

• Optics
• Microelectromechanical Systems
• Nanoelectromechanical Systems
• +۷ مورد دیگر

Joseph Talghader is the Cymer Professor in the Department of Electrical and Computer Engineering at the University of Minnesota, where he has been a faculty member since 1997, progressing from Assistant to Full Professor. He leads the Optical Micro+Nanosystems Group and holds appointments in the College of Engineering. Dr. Talghader's educational background includes a B.S. in Electrical Engineering from Rice University, followed by an M.S. (1993) and Ph.D. (1995) from UC Berkeley, where he was awarded an NSF Graduate Fellowship. Prior to joining academia, he worked at Texas Instruments and Waferscale Integration in process development and memory design. His research spans optics and micro/nano-mechanical systems with particular focus on infrared detectors, optical coatings, heat transfer mechanisms, and microsensors. His group has developed groundbreaking technologies including the highest sensitivity uncooled thermal detectors and the first tunable multispectral thermal detectors. Recent work has expanded into applications for glacial ice analysis and high-power laser systems. His research integrates theoretical modeling with advanced fabrication techniques, particularly atomic layer deposition. Analysis of his 15 most recent publications reveals a consistent focus on infrared technologies, optical coatings, and thermal phenomena. His work demonstrates strong interdisciplinary connections between electrical engineering, materials science, and optical physics, with increasing emphasis on practical applications in environmental sensing and high-power laser systems. Among his notable recognitions are three 3M Faculty Awards and being a Finalist for the Minnesota Cup for entrepreneurs. He has served on various program committees including the Army Research Office Electronics Division strategic planning panel and has chaired multiple IEEE conferences. Dr. Talghader actively mentors students and postdocs, with numerous publications listing junior researchers as lead authors. His group has secured significant research funding, though specific grant details aren't provided in the source material. He currently serves as an Editor for the NPG journal Light: Science and Applications, demonstrating his standing in the optics research community. The Optical Micro+Nanosystems Group maintains strong industry and interdisciplinary collaborations, with research spanning from fundamental materials properties to practical device implementation. Current projects focus on improving infrared detection technologies, developing advanced optical coatings for high-power applications, and exploring novel sensing mechanisms for extreme environments.

Suzanne Fitzpatrickمشاهده پروفایل

استاد

• Homelessness Policy
• Housing Exclusion
• Social Justice
• +۲ مورد دیگر

Suzanne Fitzpatrick is Professor of Housing and Social Policy at Heriot-Watt University, where she directs the Institute for Social Policy, Housing and Equalities Research. She serves as Poverty Commissioner for Scotland and advises governments on homelessness policy. Her research analyzes housing exclusion, homelessness systems, and welfare policy impacts. Major projects include the UK Homelessness Monitor series and studies on destitution and racial inequalities in housing access. Leadership roles: Editorial direction of the International Journal of Homelessness Chair of Welsh government's homelessness review panel Development of evidence frameworks for social service implementation

Lucia Macchiaمشاهده پروفایل

مدرس

• Behavioural Science
• Subjective Wellbeing
• Physical Pain
• +۸ مورد دیگر

Dr. Lucia Macchia is a Lecturer in the School of Health and Medical Sciences at City, University of London, with affiliations as a Visiting Fellow at the London School of Economics (Department of Psychological and Behavioural Science) and a Research Affiliate at the Wellbeing Research Centre, University of Oxford. She holds a PhD in Psychology and an MSc in Behavioural Economics from City, University of London, and a BA in Business Administration from Argentina. Lecturer, School of Health and Medical Sciences, City, University of London Visiting Fellow, Department of Psychological and Behavioural Science, London School of Economics Research Affiliate, Wellbeing Research Centre, University of Oxford Her research focuses on the intersection of behavioural science, psychology, and economics to understand human wellbeing, particularly the role of physical pain, income inequality, and prosocial behaviour. She integrates quantitative methods to explore how socioeconomic and psychosocial factors shape mental and physical health across cultures and populations. Dr. Macchia's recent publications reveal trends in global pain, emotional distress, and the impact of relative income on wellbeing. Her work demonstrates that pain is not only a physical sensation but also a social and psychological phenomenon, influenced by income rank, employment conditions, and social comparison. She advocates for incorporating pain into national wellbeing assessments. Her scientific contributions have been featured in high-impact journals including Nature , PNAS , Science Advances , Nature Human Behaviour , and Scientific Reports . Her research has also received widespread media attention in outlets such as The New York Times , Forbes , The BBC , and Harvard Business Review . Featured in The New York Times , Forbes , The Telegraph , BBC , The Times Author in Harvard Business Review , Scientific American , Nature Human Behaviour Contributor to global studies on flourishing and pain Dr. Macchia is committed to public engagement and science communication. She delivers talks, workshops, and podcasts on behavioural science and wellbeing, and has collaborated with governments and organizations to apply research in real-world settings. She has also taught courses in Latin America and leads training on behavioural insights for wellbeing.

Bryan S. Grahamمشاهده پروفایل

استاد

• Econometrics
• Social Networks
• Inequality Measurement
• +۴ مورد دیگر

Bryan S. Graham is a Professor in the Department of Economics at the University of California, Berkeley, where he has held faculty positions since 2005, progressing from Assistant Professor to his current full Professor rank in 2017. His research focuses on the econometrics of social interactions and networks, with particular expertise in measuring the effects of stratification on inequality. He is an active member of the Inequality: Measurement, Interpretation, and Policy (MIP) Network and contributes significantly to the field of network econometrics. Professor Graham's educational background reflects exceptional academic achievement: B.A. in Quantitative Economics from Tufts University (1997), Summa Cum Laude, Phi Beta Kappa M.Phil. in Economics from Oxford University (2000) as a Rhodes Scholar Ph.D. in Economics from Harvard University (2005) His research program bridges theoretical econometric advances with practical applications to economic policy questions. Graham has pioneered methods for analyzing network data, identifying social interactions, and measuring segregation effects. His work appears in top journals including Econometrica, Review of Economic Studies, and Journal of Econometrics. He has authored the influential Handbook of Social Economics chapter on network econometrics and co-edited the comprehensive volume 'The Econometric Analysis of Network Data' (2020). Professor Graham's publications reveal a consistent focus on developing methodological tools for analyzing social networks and peer effects, with increasing sophistication in handling complex network structures and addressing identification challenges. His recent work has expanded into practical applications in education policy and spatial inequality while maintaining theoretical rigor in econometric methodology. His scientific contributions have been recognized through prestigious awards including election as Fellow of the International Association of Applied Econometrics (2023) and multiple competitive National Science Foundation grants totaling over $1 million. Early career recognition included the Rhodes Scholarship, Fulbright Scholarship, and National Science Foundation Graduate Fellowship. As an educator, Graham teaches undergraduate and graduate econometrics courses at UC Berkeley and has developed specialized short courses internationally on econometric methods for social spillovers and network data. He has served on numerous editorial boards including as Co-Editor of the Review of Economics and Statistics (2014-2019) and has organized major conferences including the Berkeley-Stanford Econometrics Jamborees. Beyond academia, he maintains active research affiliations with the National Bureau of Economic Research, Center for Evaluation and Development at the University of Mannheim, and the Human Capital and Economic Opportunity Working Group at INET.