Find Academic Supervisors

Ahmed El Alaoui is an Assistant Professor in the Department of Statistics and Data Science at Cornell University, with a secondary affiliation in the Department of Computer Science. He joined Cornell in 2021 after completing a postdoctoral fellowship at Stanford University under Andrea Montanari. His research focuses on high-dimensional statistics, probability theory, algorithms on random structures, and statistical physics, with particular emphasis on spin glasses and algorithmic thresholds. El Alaoui holds a PhD in Electrical Engineering and Computer Sciences from UC Berkeley (2018), advised by Michael I. Jordan, and a Master's from Ecole Normale Supérieure/Ecole des Ponts Paristech. His work bridges theoretical and applied domains, addressing challenges in high-dimensional inference, computational trade-offs, and probabilistic models. He has contributed to foundational results in random matrix theory, detection limits in spiked models, and algorithmic approaches to complex systems. His teaching includes courses on high-dimensional statistics, probability models, and theoretical computer science. He has been recognized for his innovative approaches to sampling and optimization in disordered systems, with publications in top journals like Annals of Probability and venues such as NeurIPS and FOCS. El Alaoui's research explores the interplay between statistical physics principles and algorithm design, aiming to uncover computational barriers in high-dimensional problems. His lab develops methodologies for analyzing complex systems and improving the efficiency of statistical estimation in challenging scenarios.

• High-Dimensional Statistics
• Probability Theory
• Algorithms on Random Structures
• +4 more

Lucas Janson is an Associate Professor of Statistics and Affiliate in Computer Science at Harvard University. He leads the Harvard Statistical Consulting Service, supervising PhD students advising hundreds of researchers annually. His research focuses on high-dimensional inference, statistical machine learning, and applications in genetics, political science, and climatology. He teaches courses such as Statistical Inference I, Reinforcement Learning, and Statistical Machine Learning. His work bridges theoretical advancements with practical applications, including contributions to robotics motion planning and microbiome data analysis. Key research areas include variable importance inference, safe reinforcement learning, compositional data analysis, and robust paleoclimate reconstructions. His methodologies are implemented in software packages like Floodgate, EigenPrism, and Fast Marching Tree (FMT*). He advises a dynamic group of PhD students and has mentored alumni now in academia and industry roles. Notable contributions include the development of model-X knockoffs for controlled variable selection, conditional randomization tests, and optimization algorithms for adaptive control systems. His work emphasizes statistical rigor while addressing real-world challenges in healthcare, environmental science, and robotics.

• High-Dimensional Inference
• Statistical Machine Learning
• Reinforcement Learning
• +4 more

Dr. Dahlia El-Manstrly is an Associate Professor (Senior Lecturer) in Marketing and Director of Research for the Marketing and Creative & Cultural Industries (MCCI) group at the University of Sheffield Management School. She previously served as Co-Director of the Center for Service Excellence at the University of Edinburgh. Her expertise spans services marketing, with a focus on service recovery, customer loyalty, and international marketing. Education: BSc (First Class Honours) MSc (Huddersfield University) MRes PhD (Glasgow University) AHEA (Advanced HE Academy) Research Interests: Service Recovery and Complaint Management Customer Loyalty and Satisfaction International Marketing in Services Transformative Services and Well-being Tourism Services and Online Travel Communities Awards and Recognition: Highly Recommended Paper Award (AMA SERVSIG, 2014) Three Teaching Excellence Awards (University of Edinburgh) Grants and Supervision: Supervises PhD students on topics like sustainability in fashion and elderly adoption of self-service technology. Recipient of grants including the British Academy Quantitative Skills Award and ESRC Seminar Series funding. Labs/Teams: Leads the MCCI research group at the University of Sheffield Management School.

• Services Marketing
• Service Recovery and Complaint Management
• Customer Loyalty and Satisfaction
• +5 more

Peter O'Brien is Professor of Chemistry at the University of York, leading research in organic synthesis and medicinal chemistry. His group develops novel methods for stereospecific Negishi/Suzuki-Miyaura cross-coupling reactions and 3D fragment-based drug discovery. Collaborations with AstraZeneca, Diamond X-Chem, and Redbrick Molecular focus on COVID-19 therapeutics and building-block libraries. O'Brien employs high-throughput robotics for reaction optimization and mechanistic studies. His work bridges fundamental organolithium chemistry with applications in synthesizing bioactive heterocycles (piperidines, pyrrolidines). The York 3D Fragment Library, featuring shape-diverse compounds, identified hits against SARS-CoV-2 proteins. Awards include the RSC Stereochemistry Award (2013) and YUSU Teacher of the Year (2019). Selected honors: EPSRC/IAA grants for 3D building blocks commercialization Industrial Fellowships with AstraZeneca (2019-2022) Vice-Chancellor's Teaching Award (2015)

• Organic Synthesis
• Medicinal Chemistry
• Suzuki-Miyaura Coupling
• +2 more

John Monterosso is an Associate Professor of Psychology at the University of Southern California, specializing in addiction, motivation, and decision-making research. His work explores the neurocognitive mechanisms underlying impulse control and reward processing, with particular focus on substance use disorders and behavioral interventions. Monterosso's research integrates behavioral experiments with neuroimaging to examine decision-making processes in addiction contexts. His lab investigates how immediate rewards influence behavior and how cognitive control mechanisms can be harnessed for addiction treatment. Recent work examines the impact of e-cigarette flavors on appeal and sensory perception, obesity medication perceptions, and neural correlates of value representation. With collaborations spanning public health and neuroscience, his publications demonstrate consistent focus on translating basic psychological research into clinical applications. The methodological progression shows increasing sophistication in neuroimaging techniques and large-scale behavioral studies examining substance use patterns across diverse populations.

• Addiction
• Motivation
• Decision-making
• +2 more

Sudha Ram is the Anheuser-Busch Endowed Professor of MIS, Entrepreneurship & Innovation at the Eller College of Management, University of Arizona. She holds joint faculty appointments as Professor of Computer Science and is a member of the BIO5 Institute and the Institute for the Environment. She is also the Director of INSITE: Center for Business Intelligence and Analytics, a leading research center in data-driven decision-making. Her research focuses on Big Data Analytics , Business Intelligence , Large Scale Network Science , and Machine Learning , with applications in healthcare, smart cities, environmental policy, and social media. She has pioneered methods in explainable AI, conceptual modeling, and multimodal data fusion, integrating statistical, ontological, and machine learning approaches. Recent publications demonstrate a strong trend in healthcare analytics (e.g., asthma, diabetes, fracture prediction), explainable AI (ROLEX, argumentation-based models), and urban/smart systems (mobility, wearables, environmental impact). Her work consistently appears in top-tier journals and conferences, reflecting sustained scholarly impact. AIS Fellow (2018) INFORMS ISS Distinguished Fellow IBM Faculty Award Peter Chen Award Best Paper Award, IEEE Smart Cities (2016) Best Paper Award, ACM Digital Health (2016) Woman of Impact Award, University of Arizona (2023) Dr. Ram has secured over $70 million in research funding from agencies like NSF, NASA, CIA, and corporations including IBM, Intel, and SAP. She has mentored numerous students and leads a multidisciplinary research team at INSITE. She has held editorial leadership roles in Information Systems Research , Journal of AIS , and is founding co-editor of the Journal of Business Analytics . She directs the INSITE Center, which fosters collaboration across business, computer science, and health domains, enabling large-scale data synthesis and knowledge discovery. The center supports projects in healthcare innovation, smart cities, and environmental policy analytics.

• Big Data Analytics
• Business Intelligence
• Large Scale Network Science
• +12 more

Dr. Barbara Barbosa Neves is a sociologist of technology and ageing at the University of Sydney’s Sydney Centre for Healthy Societies, holding a prestigious Sydney Horizon Fellowship in AI Social Science. She specializes in loneliness, social isolation, and digital inequalities in later life, with over $6 million in competitive funding from global bodies. Her research bridges sociology and computer science, focusing on inclusive technology design for older adults. Education: PhD in Sociology. Formerly an Associate Director at the Technologies for Aging Gracefully Lab, University of Toronto, Canada. Visiting positions at Oxford, Oslo, Louvain, and Toronto. Research Interests: Sociology of Technology , Aging Anxieties , Healthcare AI , and Ageism . Her work examines how AI, VR, and robotics can benefit older adults while addressing ethical and social challenges. Key themes include combating age-based digital divides and designing technologies that align with care ethics. Grants & Projects: Lead Investigator for the $1M+ evaluation of Australia’s Aged Care Volunteer Visitors Scheme, ARC Discovery Project on loneliness and technology, and MRFF-funded dementia studies. Collaborates with multidisciplinary teams, including computer scientists and policy experts. Awards: 28+ international awards, including Mather Awards (US), George Story Distinguished Lecturer, and Fellowships from the Royal Society of Arts (FRSA) and Higher Education Academy (FHEA). Public Engagement: Over 200 media contributions, including ABC op-eds and SBS documentaries. Her research informs policy and public discourse on aging, technology, and social equity.

• Sociology of Technology
• Ageing Studies
• Digital Inequalities
• +3 more

Ada M. Fenick, MD, is a Professor of Pediatrics (General Pediatrics) at Yale School of Medicine. She holds multiple leadership roles including Associate Director for Pediatrics in the Biopsychosocial Approach to Health clerkship, Medical Director of School-Based Health Centers, and Medical Director of the Medical-Legal Partnership Project. Her clinical practice focuses on economically disadvantaged pediatric populations, emphasizing developmental aspects of child health and addressing toxic stress impacts. Education: BS in Biomedical Sciences (University of Michigan, 1990), MD (University of Michigan, 1993), Pediatric Residency (Weill-Cornell/NY Medical Center, 1996) Research: Centers on pediatric primary care innovations such as group well-child care models, medical-legal partnerships, and obesity prevention. Key themes include health equity, social determinants of health, and curriculum development. Her recent work emphasizes leveraging medical student experiences to improve curricula addressing social drivers of health. Over 20 peer-reviewed publications since 2020 focus on topics like electronic phenotyping algorithms for obesity screening and frameworks for group pediatric care implementation. Awards: Includes Howard A Pearson MD Teaching Award (2013) and multiple institutional recognitions for clinical excellence and innovation. She leads initiatives like the Yale Primary Care Pediatrics Curriculum and collaborates with community organizations to enhance access to early intervention services for vulnerable children. Her work integrates clinical care, education, and policy advocacy to promote holistic child health outcomes.

• Pediatric Primary Care
• Obesity
• Breastfeeding
• +4 more

Prof. Tine De Moor is a leading scholar at Rotterdam School of Management, Erasmus University Rotterdam , holding the Chair of Social Enterprise and Institutions for Collective Action . With a PhD in History from Ghent University (2003), she specializes in long-term institutional analysis of collective action across historical and modern contexts. Department of Business-Society Management ERIM Research Member Former Utrecht University Professor (2012-2020) Research Focus: Her work examines institutions for collective action from medieval commons to modern cooperatives, with key contributions to understanding energy cooperatives, citizen collectives, and social enterprises. She leads innovative citizen science projects and investigates labor market participation patterns over the past millennium. Publication Trends: Recent articles focus on platform cooperatives in the gig economy , energy prosumerism motivations , and institutional grammar applications . She explores paradoxes in cooperative governance and develops computational models for historical institutional analysis. Awards & Grants: Recipient of prestigious honors including ERC Starting Grant NWO-VIDI Grant International Association for Study of the Commons Leadership Advising & Collaboration: She has co-authored with scholars like Daan van Weeren and David Bunders, with significant citations in environmental and social science domains. Her work informs policy on collective resource management and sustainable transitions. Labs & Teams: Founding editor of the International Journal of the Commons , she leads the CollectieveKracht knowledge platform and collaborates with Triodos Bank stakeholders. Her research integrates GIS, archival analysis, and agent-based modeling.

• Collective Action
• Social Enterprises
• Historical Institutions
• +5 more

Akshay R. Rao is a Professor and General Mills Chair in Marketing at the University of Minnesota's Carlson School of Management . He holds a PhD in Marketing from Virginia Tech and has served as founding Director of the Institute for Research in Marketing (2005-2010) and Chairman of the Marketing & Logistics Management Department (2003-2006). Rao has also held visiting positions at MIT and Hong Kong University of Science & Technology. Bachelor of Arts in Economics (Honors), Madras University (1978) Master of Business Administration in Marketing, XLRI - Xavier School of Management (1980) Doctor of Philosophy in Marketing, Virginia Polytechnic Institute and State University (1986) Rao's research spans consumer behavior, pricing strategy, brand management , and political marketplace segmentation , with recent work examining vaccine hesitancy , political ideology effects on consumer behavior , and fake news dynamics . His work appears in top journals including Journal of Consumer Research , Journal of Marketing , and Harvard Business Review , covering topics from neuromarketing to information economics . Scientific recognition includes: Robert Ferber Award (1987) Harold Maynard Award (2000) Distinguished Alumnus, XLRI (2011) He has testified before the Federal Trade Commission and served on editorial boards of Journal of Consumer Research and Journal of Marketing . Beyond academia, Rao consults for global firms like 3M and Medtronic, and has conducted the Minnesota Orchestra twice in 2024-2025.

• Consumer Behavior
• Pricing Strategy
• Brand Management
• +8 more

Krishna Gummadi is a Scientific Director and Professor at the Max Planck Institute for Software Systems (MPI-SWS) in Germany, where he leads the Networked Systems Research Group. He also holds a professorship at the University of Saarland, demonstrating his dual commitment to research and academic instruction in computer science. His educational background includes: Ph.D. in Computer Science and Engineering from the University of Washington (2005) B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Madras (2000) Gummadi's research spans networked and distributed computer systems with a current focus on social computing systems. His work addresses critical challenges in algorithmic fairness, privacy in social media, trustworthiness of online identities, and information dissemination in social networks. He approaches these problems through interdisciplinary methods combining user-centric studies, data-centric analysis, and systems-centric design to create practical solutions that enhance fairness, transparency, and user control in online platforms. His methodology integrates large-scale observational studies, computational modeling, and system implementation to tackle complex human-computer interaction challenges at societal scale. His recent publications reveal a strong emphasis on fairness in algorithmic decision making, with significant contributions to quantifying and addressing discrimination in machine learning systems. His work bridges computer science, social science, and ethics, creating frameworks for fair classification, understanding media bias, and developing privacy-preserving techniques that maintain functionality while protecting user data. The research demonstrates a progression from technical system design to addressing societal implications of computing systems. Among his notable scientific achievements: ERC Advanced Grant in 2017 for 'Foundations for Fair Social Computing' Test of Time Awards at ACM SIGCOMM and AAAI ICWSM Casper Bowden Privacy Enhancing Technologies (PET) and CNIL-INRIA Privacy Runners-Up Awards IW3C2 WWW Best Paper Honorable Mention Multiple Best Paper awards across prestigious conferences Gummadi has advised numerous PhD students and postdoctoral researchers who have gone on to prominent positions in academia and industry. His ERC Advanced Grant has supported extensive research into fair social computing, while his leadership in major conferences (including serving as General Chair for ICWSM 2016 and Program Chair for WWW 2015) has shaped research directions in the field. His teaching portfolio includes courses on Distributed Systems, Human-Centered Machine Learning, and Social Media Analysis. He leads the Networked Systems Research Group at MPI-SWS, which has developed several publicly available systems including tools for fair classification, privacy risk assessment, trust evaluation in social media, and information diet management. The group's work bridges theoretical advances with practical implementations that address real-world challenges in social computing, with numerous software releases and datasets made available to the research community.

• Networked Systems
• Distributed Systems
• Social Computing
• +5 more

Shantanu Dutt is a full Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Chicago , located in Chicago, IL. His office is in 930 SEO at 851 S. Morgan St, and he can be reached at dutt@uic.edu . Education Ph.D. in Computer Science and Engineering, University of Michigan, Ann Arbor (1990) M.Tech. in Computer Engineering, Indian Institute of Technology Kharagpur (1984) B.E. in Electronics and Communication Engineering, Maharaja Sayajirao University of Baroda (1983) Research Interests Professor Dutt’s research agenda centers on VLSI Computer-Aided Design (CAD) , with particular emphasis on physical design and incremental synthesis targeting both ASICs and FPGAs. He explores discrete optimization techniques to solve placement, routing, and partitioning problems. Another major thrust is FPGA built-in self-test (BIST) and trusted design , ensuring provable diagnosability and security against hardware Trojans. He also investigates fault-tolerant computing at both chip and system levels, and develops parallel and distributed computing algorithms for scalable performance. Scientific Awards 1996 Best Paper Award , ACM/IEEE Design Automation Conference, for “A probability-based approach to VLSI circuit partitioning” 1995 Most Influential Paper Award , Fault-Tolerant Computing Symposium, for “Design and reconfiguration strategies for near-optimal k-fault-tolerant tree architectures” Research Impact and Funding Professor Dutt has published extensively in top-tier journals (IEEE TVLSI, ACM TRETS, IEEE TCAD) and premier conferences (ICCAD, DAC, DATE, FTCS). His work has shaped incremental placement, timing-driven routing, FPGA security, and fault-tolerant multiprocessor architectures. While specific grant numbers are not listed, the breadth and longevity of his publication record indicate sustained funding from NSF, industry, and other agencies. Laboratory and Collaborations Although no formal laboratory name is provided, Professor Dutt’s research is conducted within the ECE department’s VLSI CAD and Fault-Tolerance groups, collaborating with graduate students and colleagues across the US and internationally.

• VLSI CAD
• Discrete Optimization
• FPGA Testing and Trusted Design
• +2 more

Heitor Pellegrina is an Assistant Professor of Economics at the University of Notre Dame, specializing in trade and development economics with a particular focus on agriculture and environmental resources. He is affiliated with the Building Inclusive Growth (BIG) Lab and became a Kellogg faculty fellow in 2023. Prior to joining Notre Dame, Pellegrina spent six years as an assistant professor at New York University Abu Dhabi, where he coordinated DevLab seminars from 2021-2023 and co-organized the conference "The End of Globalization" in 2022. His research spans multiple countries including Brazil, India, Colombia, and parts of Africa, examining the intersection of trade policies, economic development, and environmental sustainability. Pellegrina holds a PhD in economics from Brown University (2017) and both bachelor's and master's degrees in economics from the University of São Paulo, Brazil (2009 and 2011 respectively). His research program addresses critical questions at the intersection of international trade, agricultural productivity, and environmental sustainability. Recent work examines how weather shocks affect farm size distribution, the relationship between economic development and greenhouse gas emissions from agriculture, and the global impacts of trade policies on deforestation patterns. His publications appear in top journals including the Journal of Political Economy, Journal of Development Economics, and Journal of International Economics. PhD, Brown University, 2017 M.Sc., University of São Paulo, Brazil, 2011 B.Sc., University of São Paulo, Brazil, 2009 Pellegrina teaches undergraduate courses in Economic Growth and graduate courses in Quantitative International Trade and Development Economics. His research methodology combines empirical analysis of large datasets with theoretical modeling to address questions of economic development and trade policy. He has organized academic events including the Development Economics Working Group at Notre Dame and previously coordinated DevLab seminars at NYU Abu Dhabi.

• Trade Economics
• Development Economics
• Agricultural Economics
• +3 more

Sanford E. DeVoe is a Professor of Management and Organizations at UCLA Anderson School of Management. He currently serves as Senior Associate Dean of MBA Programs and teaches leadership foundations to Full-Time, Fully Employed, and Executive MBA students. Ph.D. in Organizational Behavior, Stanford University (2007) B.A. in Psychology with High Honors, Swarthmore College (2000) DeVoe's research explores the psychological impacts of monetizing time, including trade-offs between time and money, workplace stress, and societal well-being. His work uses experimental and survey methods to analyze how organizations can improve quality of life through behavioral interventions. His recent scholarly trends examine temporal psychology in organizational contexts, financial impatience, and stressor mitigation in service industries. Articles span behavioral economics, consumer culture analysis, and time-use optimization. Excellence in Teaching award (6 times) Dean’s Award for Excellence in Research (2011, Rotman School of Management) Featured in top media outlets like New York Times , Economist , and Wall Street Journal DeVoe has served as Senior Editor at Organization Science and sits on editorial boards of leading management journals. He actively bridges academic research with public discourse through media engagements and advisory roles.

• Behavioral Decision Making
• Human Resource Management
• Organizational Behavior
• +4 more

Prof. Dr. Mirko Meboldt serves as a Full Professor at ETH Zurich's Department of Mechanical and Process Engineering, where he holds dual leadership roles as Head of Lecturers' Conference and Deputy Head of the Institute of Machine Tools and Manufacturing. His office is located at Leonhardstrasse 21 in Zürich, Switzerland. Professor Meboldt's research spans multiple engineering domains with particular emphasis on: User-oriented product innovations New production technologies Mechanical engineering applications Biomedical device development CAD/PDM systems standardization Engineering education methodologies His recent publication portfolio reveals a distinctive interdisciplinary approach that bridges traditional mechanical engineering with cutting-edge medical applications. Key research trends include human-robot collaboration systems, intelligent medical devices for neurosurgery, augmented reality training platforms for medical procedures, advanced manufacturing processes, and AI-assisted healthcare communication analysis. This diverse research portfolio demonstrates his commitment to solving complex real-world engineering challenges through cross-disciplinary innovation. Professor Meboldt places significant emphasis on the educational impact of his work, explicitly stating that he 'regards the impact on the education of young engineers and its relevance for industry as a key motivation and benchmark for his research.' His industrial background at Hilti AG informs his practical approach to academic research, ensuring strong industry relevance across all his projects.

• Product Development
• Engineering Design
• Mechanical Engineering
• +4 more