Find Academic Supervisors

• Geometric Representation Theory
• Noncommutative Geometry
• Algebraic Geometry
• +3 more

Victor Ginzburg is a Professor in the Department of Mathematics at the University of Chicago. His research focuses on geometric representation theory and noncommutative geometry, with contributions to areas such as Hecke algebras, quantum groups, and mirror symmetry. He currently advises seven graduate students, though their specific projects vary widely. His work intersects with algebraic geometry, string theory, and mathematical physics. Key research themes include the application of algebraic geometry to representation theory, including studies on D-modules, quiver varieties, and symplectic reflection algebras. He has authored influential papers such as Non-commutative Symplectic Geometry (2001) and Symplectic reflection algebras (2002). His interests also extend to Calabi-Yau categories and operads, reflecting a deep engagement with modern geometric and algebraic structures.

Martin Z. BazantView profile

Professor

• Electrochemical Systems
• Transport Phenomena
• Applied Mathematics
• +3 more

Martin Z. Bazant is the E. G. Roos (1944) Professor of Chemical Engineering and Professor of Mathematics at the Massachusetts Institute of Technology (MIT), holding the Digital Learning Officer role in the Department of Chemical Engineering. His research focuses on mathematical modeling of electrochemical systems, transport phenomena, and applied mathematics, with significant contributions to battery technology and electrochemical energy storage. He is affiliated with MIT’s Department of Mathematics and the MIT Energy Initiative (MITEI), leading initiatives like the Center for Battery Sustainability and D3BATT. Education: Ph.D. from Harvard University (1997), M.S. and B.S. from the University of Arizona (1993, 1992). His work bridges theory and application, addressing challenges in lithium-ion batteries, solid-state systems, and electrolyte dynamics. Notable achievements include pioneering studies on coupled ion-electron transfer mechanisms and phase separation in battery materials. He is an elected member of the National Academy of Engineering (2025) and a Fellow of the Electrochemical Society (2023). As an educator, he develops MOOCs on transport phenomena and contributes to digital learning initiatives. His research group explores advanced battery diagnostics, machine learning for materials science, and environmental applications of electrochemical processes. Key collaborations include startups like Lithios, Inc., and leadership roles in professional societies such as the International Electrokinetics Society.

Zhiyong HuangView profile

Associate Professor

• Data Analytics
• Machine Learning
• Computer Vision
• +6 more

Zhiyong Huang is an Associate Professor at the National University of Singapore (NUS) School of Computing. He holds multiple leadership roles, including Deputy Director of the NUS Business Analytics Centre, Director of the Computing Translational Research & Development (C-TReND) Centre, and Assistant Dean (Industry Relations). He is also a Senior Principal Investigator at the NUS Chongqing Research Institute. Education: PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL), MEng and BEng in Computer Engineering from Tsinghua University. Leadership: Senior Member of ACM and IEEE, Pioneer Member of ACM SIGGRAPH, and Chair of the Singapore ACM SIGGRAPH Chapter. Research Interests: His work spans Data Analytics, Machine Learning, Computer Vision, Human-Robot Interaction, and Computer Graphics. Key projects include the NUS Digital Twin initiative and secure data analytics pipelines. Article Trends: Recent publications focus on time series generation, cryptocurrency benchmarks, medical image registration, and phishing detection. These works integrate machine learning, computer vision, and multimodal systems. Scientific Awards: Finalist, World Technology Summit & Awards (Entertainment, 2010) Bronze, National Science and Technology Progress Award (1992) Tsinghua 12.9 Distinguished Young Teacher Award (1989) Grants & Service: Extensive involvement in Singapore's IT Standards Committee, review panels for EDB SIIRD projects, and editorial roles. He has served as PC co-chair, local chair, and reviewer for numerous conferences and journals.

Jiwon YunView profile

Associate Professor

• Speech Prosody
• Syntax-Semantics Interface
• Computational Linguistics
• +3 more

Jiwon Yun is an Associate Professor in the Department of Linguistics at Stony Brook University. She holds a Ph.D. in Linguistics from Cornell University (2013) and a B.S.E. in Computer Science & Engineering from Seoul National University (cum laude with honors). Her research focuses on speech prosody, syntax-semantics interfaces, and computational modeling of sentence processing, with special attention to East Asian languages like Korean, Mandarin, and Japanese. Dr. Yun teaches undergraduate and graduate courses in computational linguistics, semantics, pragmatics, and experimental phonetics. Her work bridges theoretical linguistics and experimental methods, examining how prosody interacts with syntactic and semantic structures. Recent publications investigate prosodic disambiguation of syntactic ambiguities, computational models of relative clause processing, and intonation patterns in Korean and Mandarin. She has developed tools for automated speech corpus analysis and maintains a Hangul-Yale Romanization Converter for linguistic research. Her research has been published in journals like Humanities and Social Sciences Communications , Linguistic Inquiry , and Journal of East Asian Linguistics . Teaching responsibilities include courses such as LIN 335 (Computational Linguistics) and LIN 627 (Computational Semantics).

Andres LuceroView profile

Associate Professor

• Interaction Design
• Human-Computer Interaction
• Mobile Interfaces
• +1 more

Andres Lucero is Associate Professor of Interaction Design at Aalto University's Department of Art and Media, specializing in human-computer interaction for mobile devices and interactive surfaces. His research integrates human-computer interaction, design methodologies, and playful interfaces. He holds a PhD from Eindhoven University of Technology and has industry experience from Nokia, where he led user-centered design projects as Senior Researcher. Research explores tangible interfaces, social wearables, museum experience design, human-AI collaboration, and cross-cultural co-design approaches. Recent projects investigate conversational agents in design processes, persona generation workflows, and freeform interactive devices. Dr. Lucero received the Honourable Mention Award at MUM 2020 for innovative interaction research. His work advances design methods through first-person perspectives, AI integration, and novel interaction paradigms.

Lance FreemanView profile

Professor

• Urban Planning
• Urban Sociology
• Gentrification
• +5 more

Lance Freeman is the Penn Integrates Knowledge (PIK) Professor of City and Regional Planning and Sociology at the University of Pennsylvania's School of Arts & Sciences. His research focuses on neighborhood dynamics, gentrification, urban poverty, housing policy, and the interplay between the built environment and public health. He holds a Ph.D. in City and Regional Planning from the University of North Carolina at Chapel Hill (1997), an MRP in Regional Planning (1991), and a B.S. in Business Administration from SUNY Buffalo (1987). Prior to academia, he worked at Mathematica Policy Research and as a City Planner at the New York City Housing Authority. Freeman teaches courses on urban planning theory, quantitative methods, and community development at Columbia University and the University of Delaware. His research interests include understanding neighborhood change, leveraging social media and technology for urban analysis, and promoting equitable urban development. Key publications include There Goes the Hood: Views of Gentrification from the Ground Up (2006), A Haven and a Hell: The Ghetto in Black America (2019), and co-authored Planning and Control of Land Development (2020). He has contributed to debates on inclusionary zoning, racial equity planning, and the impacts of urban policies on marginalized communities. Freeman's work intersects urban sociology, policy analysis, and spatial demography. His recent studies explore gentrification migration patterns, the role of social media in neighborhood change, and historical segregation dynamics. He advocates for evidence-based planning to address urban inequality and spatial injustice.

Daniel DuttonView profile

Associate Professor

• Social Epidemiology
• Public Health Policy
• Health Economics
• +3 more

Dr. Daniel Dutton is an Associate Professor in the Department of Community Health and Epidemiology at Dalhousie University's Faculty of Medicine, based at the Dalhousie Medicine New Brunswick campus in Saint John. His research focuses on how social environments influence health outcomes and the role of government policies in mitigating these impacts, particularly in areas like poverty, homelessness, and health economics. He holds adjunct roles at the University of New Brunswick (Sociology) and is the Scientific Director of APPTA, a hub bridging aging research and policy. He teaches courses in epidemiology, population health, and statistics. Education: PhD in Community Health Sciences (University of Calgary) MA in Economics (University of Calgary) BA Honours in Economics (Queen’s University) Research Interests: Dr. Dutton examines population-level health determinants, government policy effectiveness, and socioeconomic disparities. His work employs large datasets and econometric models to analyze topics such as homelessness incidence, healthcare cost savings through preventive measures, and the distributional impacts of public spending. Key Contributions: Scientific Director of the APPTA aging and technology hub. Co-founder of the IMPART research collaborative. Author of influential studies on Housing First programs, opioid prescribing patterns, and the fiscal benefits of guaranteed annual income policies. Advising & Grants: Supervises multiple MSc students and has collaborated on grants analyzing healthcare utilization in New Brunswick and Alberta. His work often intersects with policy-making, emphasizing actionable insights from quantitative research. Labs & Teams: Leads the Dutton Research Group, which uses mascot Odin the Saint Bernard to foster team cohesion. Active in interdisciplinary collaborations across public health, sociology, and economics.

• Applied Financial Economics
• Economics of Security
• Financial Risk Management
• +3 more

Konstantinos Drakos is a Professor at the Department of Accounting and Finance, Athens University of Economics and Business (AUEB). Previously, he served as Assistant Professor at AUEB (2009–2012), Assistant Professor at the University of Patras (2003–2008), and Lecturer at the University of Essex (2001–2002). He holds a PhD in Economics from the University of Essex, preceded by an MSc and undergraduate studies in Economics at the University of Athens. His research focuses on Applied Financial Economics and the Economics of Security, with recent work analyzing hedge fund leverage, geopolitical risk impacts, cryptocurrency markets, and green banking. Teaching responsibilities include Macroeconomic Theory, Finance for Banking, and Risk Management at both undergraduate and postgraduate levels. Drakos' publications span over two decades, addressing topics such as terrorism's economic effects, bank lending behavior, and investment under uncertainty. His recent articles (2022–2025) emphasize cryptocurrency dynamics, geopolitical risk interactions, and financial stability in green banking. Notable themes include market volatility, capital allocation under uncertainty, and policy responses to systemic risks. No scientific awards are listed in the provided materials. His research has explored structural shifts in financial risk, macroeconomic sentiment, and cross-market linkages following major global events like 9/11 and the 2008 crisis. Drakos has advised on policy-related topics related to financial markets and regulatory frameworks, though specific grants or lab affiliations are not detailed here.

Yvonne RogersView profile

Professor

• Ubiquitous Computing
• Interaction Design
• Human-Computer Interaction
• +1 more

Yvonne Rogers is a Professor of Interaction Design and Director of the UCL Interaction Centre (UCLIC), with a joint appointment as Deputy Head of the Department of Computer Science at University College London. She joined UCL in 2011 after holding professorships at the Open University (2006-2011) and Indiana University (2003-2006). Her pioneering work spans ubiquitous computing, interaction design, and human-computer interaction, with a current focus on human-centered AI. She co-authored the definitive 'Interaction Design' textbook (6 editions, 300,000+ copies) and serves as CTO of LetThink.com. Research interests center on designing technologies that enhance human cognition and daily activities: Ubiquitous Computing: Augmenting learning/work activities through pervasive technologies Human-AI Interaction: Developing AI systems that enhance human decision-making Health Technologies: Creating VR therapies and ADHD support systems Community Resilience: Designing tools for environmental monitoring and sustainable practices Publication analysis reveals three dominant trends: (1) VR applications for mental health (emotion regulation, ADHD support), (2) AI systems for cognitive augmentation, and (3) community-centered tools for healthcare/environmental challenges. Recent work demonstrates strong emphasis on vulnerable populations including children with ADHD, older adults, and postoperative patients. Major scientific recognition includes: International Member, National Academy of Engineering (2024) ACM SIGCHI Lifetime Research Award (2022) Royal Society Robin Milner Medal (2022) Royal Society Fellowship (2022) Microsoft Outstanding Collaborator Award MRC Suffrage and Science Award (2020) Triple Fellow status (ACM, BCS, CHI Academy) Advises PhD students including Leon Reicherts, Sheena Visram, and Tu Duong. Secured major grants including EPSRC Dream Fellowship on ageing/computing and led the Intel Collaborative Research Institute on Sustainable Connected Cities (2012-2018). Directs UCLIC research center and previously established the Pervasive Interaction Lab at Open University.

Adam BonicaView profile

Associate Professor

• Data Science
• Money in Politics
• Campaigns and Elections
• +5 more

Adam Bonica is an Associate Professor in the Department of Political Science at Stanford University . His research integrates data science and politics , focusing on money in politics , campaigns and elections , judicial politics , and political methodology . Research Interests : Data Science, Political Ideology, Campaign Finance, Judicial Polarization, Quantitative Modeling Contact : Encina Hall West, Room 307, Stanford, CA 94305-6044 | Email : bonica@stanford.edu | Phone : (650) 725-7987 His work has been published in leading journals such as the American Journal of Political Science , Political Analysis , Journal of Economic Perspectives , Journal of Law, Economics, and Organization , and JAMA Internal Medicine . Bonica co-authored The Judicial Tug of War , which explores the politicization of the American judiciary. He has developed comprehensive databases like DIME (Database on Ideology, Money in Politics, and Elections) to advance research on political ideology and campaign finance. Recent publications include analyses of ideological persuasion in U.S. elections, judicial reform dynamics, and supervised machine learning applications in political methodology. His research spans topics such as clerk hiring as ideological indicators , professional networks in fundraising , and polarization trends among physicians and legal professionals .

• Immunology
• Translational Immunology
• Computational Immunology
• +4 more

Professor Mark Coles serves as Professor of Immunology and Lead for Industrial Strategy and Entrepreneurship at the Kennedy Institute of Rheumatology, University of Oxford, holding concurrent roles as Kennedy Trust Senior Research Fellow, Official Fellow at Reuben College, and Affiliate Faculty at the Wolfson Centre of Mathematical Biology. His interdisciplinary work bridges immunology, computational modeling, and translational research to accelerate therapies for immune-mediated inflammatory diseases. His academic journey began with a BSc in Microbiology from Cornell University (1992), followed by a PhD in Molecular and Cell Biology at UC Berkeley under David Raulet, and postdoctoral training with Dimitris Kioussis at the National Institute of Medical Research. At the University of York (2006-2017), he pioneered stromal immunology research and co-founded the York Computational Immunology Laboratory. Coles' research centers on stromal and systems immunology, with core expertise in stromal cell biology, inflammatory disease mechanisms, and mathematical modeling of immune responses. He champions 3Rs-based approaches (Replacement, Reduction, Refinement) to reduce animal testing through in silico models, integrating spatial single-cell biology with multi-scale computational frameworks to dissect immune function in human tissues. His 2025 publications reveal a cohesive research trajectory applying interdisciplinary methods across diverse disease contexts—from cardiac fibrosis and vaccine responses to arthritis pathogenesis and CAR-T cell therapy—unified by focus on stromal-immune crosstalk and quantitative modeling to identify therapeutic targets. Key honors include: Fellow of the Royal Society of Biology Kennedy Trust Senior Research Fellow As former Director of Graduate Studies (2017-2024) at the Kennedy Institute, Coles mentored numerous graduate students while co-leading major initiatives including the Arthritis Therapy Acceleration Program and Human Cell Atlas medicalization. His entrepreneurial impact spans three co-founded ventures: Simomics Ltd (in silico disease modeling), Lightox Ltd (phototherapy for oral cancer), and Mestag Therapeutics (fibroblast-targeted therapies for cancer/inflammation). He directs the Laboratory of Stromal and Systems Immunology and Oxford Mathematical Immunology Group, fostering collaborations with Christopher Buckley, Calliope Dendrou, and Eamonn Gaffney to develop Quantitative Systems Pharmacology models that translate mechanistic insights into patient therapies.

Richard E. TurnerView profile

Professor

• Probabilistic Machine Learning
• Environmental Prediction
• Spatio-temporal Modelling
• +4 more

Richard E. Turner is a Professor of Machine Learning at the University of Cambridge's Department of Engineering and Research Lead for AI for Weather Prediction at the Alan Turing Institute. He serves as Cambridge Lead for the EPSRC Probabilistic AI Hub and previously held roles including Visiting Researcher at Microsoft Research, Co-Director of the AI4ER CDT, and Course Director for the Machine Learning and Machine Intelligence MPhil program. Current research focuses on probabilistic machine learning fundamentals, environmental prediction (weather/climate), and spatio-temporal modeling combining deep learning with Bayesian methods Supervised 26 PhD students (13 graduated) and 7 research assistants/associates Secured over £30M in research funding from EPSRC, Microsoft, Toyota, Google, DeepMind, Amazon, and Improbable Featured in BBC Radio 5 Live's The Naked Scientist, BBC World Service's Click, and Wired Magazine His recent publications demonstrate expertise in diffusion models for PDE simulations, Gaussian Processes for environmental applications, and Bayesian methods for spatio-temporal forecasting. Key trends include climate modeling using ML, neural PDE solvers, and scalable probabilistic inference. Awards : Cambridge Students' Union Teaching Award for Lecturing; supervised Qualcomm Innovation Fellowship winner Collaborations : Microsoft Research (AI4Science), Alan Turing Institute, EPSRC Probabilistic AI Hub Turner leads the Turner Group within Cambridge's Machine Learning Group, focusing on uncertainty-aware ML for scientific applications. Current research assistants work on topics like meta-learning, Bayesian inference, and climate science applications.

Amir Ali AhmadiView profile

Professor

• Optimization Theory
• Control Theory
• Dynamical Systems
• +7 more

Amir Ali Ahmadi is a Professor at Princeton University's Department of Operations Research and Financial Engineering (ORFE), with affiliations across multiple disciplines including PACM, Computer Science, Mechanical & Aerospace Engineering, Electrical Engineering, and the Center for Statistics and Machine Learning. He serves as Director of Princeton's Optimization and Quantitative Decision Science Certificate Program and has taken temporary roles at Citadel GQS (2021-2022) and Google Brain (2020-2021). His research bridges optimization theory , dynamical systems , and control theory , focusing on scalable algorithms for complex problems in robotics, autonomous systems, and machine learning. He has pioneered DSOS/SDSOS relaxations as alternatives to traditional sum-of-squares methods, enabling faster solutions through linear/second-order cone programming. Recent publications explore: Higher-order Newton methods for socially responsible investment Data-efficient learning of dynamical systems Computational complexity of local minima Robust-to-dynamics optimization frameworks Award highlights include: 2024 Egon Balas Prize in Optimization 2024 Princeton Engineering Council Teaching Award 2023 Distinguished Teaching Award (Princeton SEAS) 2019 NSF CAREER Award 2017 DARPA Young Faculty Award 2017 Sloan Fellowship in Computer Science He advises prominent researchers like Georgina Hall (Tucker Prize finalist) and Bachir El Khadir (Goldstine Fellow), and leads the Princeton Optimization Seminar and MURI project on Control-Oriented Learning on the Fly.

WooChul JungView profile

Associate Professor

• Materials Science
• Solid Oxide Fuel Cells
• Electrochemistry
• +3 more

WooChul Jung is an Associate Professor at the Department of Materials Science and Engineering, Seoul National University (SNU), previously holding the same role at the Korea Advanced Institute of Science and Technology (KAIST) from 2018 to 2024. His research focuses on energy conversion and storage materials, particularly solid oxide fuel cells, electrolyzers, and catalytic systems involving ionic solids and gas interfaces. Ph.D. in Materials Science & Engineering from MIT (2010) B.S. in Materials Science & Engineering from SNU (2004) Research Interests: Investigating reactions at ionic solid-gas interfaces to enhance catalytic kinetics for fuel cells, electrolyzers, and sensors. Key areas include surface science, electrochemistry, and nano-fabrication. Scientific Contributions: His recent work emphasizes fluorine doping for stable bismuth oxide electrolytes, Ca substitution in LaCoO3 for oxygen evolution, and exsolution strategies for durable nanocatalysts. Publications highlight multidisciplinary approaches combining experimental and computational methods.

Vadim CherezovView profile

Professor

• Membrane Protein Structure and Function
• G Protein-Coupled Receptors (GPCRs)
• Lipid-Protein Interactions
• +3 more

Vadim Cherezov, the Ester Dornsife Chair in Biological Sciences and Professor at the University of Southern California (USC), leads groundbreaking research in membrane protein structure and function. Affiliated with the Bridge Institute, Department of Chemistry, and Michelson Center for Convergent Bioscience, his work focuses on GPCRs, ion channels, and transporters—critical targets for drug discovery. His team leverages advanced techniques like Lipidic Cubic Phase (LCP) and Serial Femtosecond Crystallography (SFX) at XFEL facilities to solve high-resolution structures under physiological conditions. Institutional Affiliations: Bridge Institute, USC Michelson Center, Department of Chemistry, Department of Pharmacology and Pharmaceutical Sciences. Key Collaborations: Katritch Lab, Kuhn Lab, NIH, European XFEL. His research explores the role of lipids in modulating GPCR function, addressing diseases like Alzheimer’s, diabetes, and cancer. By solving the structure of the A 2A adenosine receptor via sulfur SAD phasing at XFEL, Cherezov’s lab demonstrated de novo phasing without heavy atoms. This breakthrough enables structural studies of previously intractable membrane proteins. Scientific Awards & Grants: NIH R01 GM108635, U54 GM094618, U54 GM094599, R01 GM095583 Science Signaling Breakthroughs of the Year (2014) Cherezov mentors a dynamic team, including postdocs (e.g., Dong-Gyun Kim), graduate students (e.g., Behnaz Davoudinasab), and alumni (e.g., Benjamin Stauch at Eli Lilly, Nairie Michaelian at Genentech). His lab’s publications span Nature , Science , and Cell , with recent work on Science Advances (2025) addressing ABEL-FRET for GPCR dynamics.