Find Academic Supervisors

Marko LindroosView profile

Lecturer

• Environmental and Resource Economics
• Aquatic Ecosystems
• Fisheries Management
• +7 more

Marko Lindroos is a University Lecturer and Docent at the Department of Economics and Management under the Faculty of Agriculture and Forestry at the University of Helsinki. He is affiliated with the Helsinki Institute of Sustainability Science (HELSUS), specializing in the economics of aquatic ecosystems and environmental/resource economics. His research focuses on applying game theory to fisheries management challenges, particularly in multi-species systems, international agreements, and climate change adaptation. Lindroos has supervised doctoral students in interdisciplinary environmental sciences and holds the 2010 'Vuoden kouluttaja: Palmenia' award for teaching excellence. He has managed multiple research projects including 'Marmaed' (2015–2019) and 'Apuraha Linnala' (2023–2026), while also contributing to large initiatives like the InterEarth RESET program (2023–2028). His activities include peer reviews for journals such as Marine Resource Economics , Marine Policy , and ICES Journal of Marine Science , as well as conference participation and public engagement on topics like sustainable fisheries and climate policy. His doctoral supervision includes four documented advisees, though specific student names are not provided in the text. Grants and funding sources include University of Helsinki internal funds, the Academy of Finland, and various Nordic foundations. Lindroos' work emphasizes bioeconomic modeling of fisheries systems, particularly in the Baltic Sea and Nordic regions, addressing issues such as stock productivity, discounting impacts, and ecosystem interactions.

Aernout van EnterView profile

Professor

• Statistical Physics
• Probability Theory
• Mathematical Physics
• +3 more

Prof. Aernout van Enter is a Professor at the Bernoulli Institute within the Faculty of Science and Engineering at the University of Groningen. His research focuses on statistical physics, probability theory, and mathematical physics, with a particular emphasis on Gibbs measures, phase transitions, and renormalization group techniques. He has contributed significantly to understanding long-range interactions, decimation procedures in spin systems, and the dynamics of non-Gibbsian states. His work includes studies on Ising models, rotator models, and lattice-gas systems, addressing topics such as boundary conditions, metastability, and the interplay between discrete and continuous symmetries. Recent publications explore delocalization phenomena in Z-valued fields, Gibbsian properties of projections, and the spectral analysis of Ruelle operators. Van Enter collaborates with international researchers and serves as an editor for the Nederlands Tijdschrift voor Natuurkunde . His research bridges rigorous mathematical analysis with applications in condensed matter physics and stochastic systems. Key contributions include foundational insights into phase transitions, non-equilibrium dynamics, and the robustness of Gibbsian descriptions under perturbations.

• Urban Economics
• Spatial Economics
• Agent-Based Modeling
• +5 more

Dan Olner is a Research Fellow at the Management School, University of Sheffield, affiliated with the PERN Network. His work focuses on spatial economics, urban dynamics, and agent-based modeling. He holds a Research Fellow position and is located at Western Bank Villa, Sheffield. His research interests include urban economics, spatial boundaries' impacts, energy justice, and the socio-economic effects of deindustrialization. He has contributed to studies on social frontiers, immigration impacts, and renewable energy policy implications. Recent publications (2013-2024) explore topics like wind energy's property price effects, spatial economic modeling, and urban transformation in post-industrial cities. His methodologies emphasize agent-based approaches to understand complex socio-economic systems. No scientific awards are listed, but his work has been published in reputable journals and addresses critical issues like regional inequality and environmental policy. He currently has no listed advisees but collaborates through the PERN Network and other academic groups. His research locations include Sheffield and international case studies like Rotterdam and Scotland.

Loe SchlicherView profile

Assistant Professor

• Game Theory
• Stochastic Optimization
• Homeland Security
• +2 more

Dr. Loe Schlicher is an Assistant Professor of Operations Management and Game Theory at Eindhoven University of Technology. His research develops mathematical models for security logistics, counterterrorism resource allocation, and defense operations. Research applies game theory and stochastic optimization to protect critical infrastructure, combat pickpocketing, and optimize police deployment. Collaborations include the Dutch National Police and National Coordinator for Counterterrorism and Security. Recent publications focus on dynamic resource allocation against terrorism, crime prevention strategies, and cooperative logistics. Articles feature applications of Stackelberg games and spatial optimization in security contexts. Awards include the NWO Veni grant, TU/e Best Young Researcher Award (runner-up), and Beta Ph.D. Award. Recognized for innovative applications of operations research in security domains. Leads PhD projects on homeland security and serves as principal investigator for police-funded research. Work package leader in EU Defense Fund projects (ROLIAC, DISCMAM). Member of TU/e Young Academy of Engineering and associate editor of Naval Research Logistics.

Evgenia MotchenkovaView profile

Associate Professor

• Industrial Organization
• Law and Economics
• Competition Policy
• +4 more

Evgenia Motchenkova is an Associate Professor at the Department of Economics, Vrije Universiteit Amsterdam, and a Research Fellow at Tinbergen Institute and Tilburg Law and Economics Center (TILEC). Her work focuses on Industrial Organization, Law and Economics, Competition Policy, and Game Theory. She holds a PhD in 'Optimal Enforcement of Competition Law' from Tilburg University (2005). **Research Interests**: Her research addresses antitrust enforcement, cartel dynamics, merger analysis, innovation portfolios, and market regulation. She explores how legal frameworks influence competition, pricing strategies, and R&D investments in dynamic markets. Recent work examines start-up acquisitions' impact on innovation direction and personalized pricing models. **Teaching**: Courses include Microeconomics, Industrial Organization, and Competition Policy at BSc/MSc levels, as well as advanced modules at Tinbergen Institute and Amsterdam University College. **Awards & Grants**: Recipient of the TILEC Research Grant (2011) for studying search engine economics. Her work contributes to UN SDGs by addressing fair competition and market efficiency. **Collaborations**: Active in European research networks, with collaborations across institutions like Tilburg University, Tinbergen Institute, and international peers. Supervised two PhD theses, with ongoing projects on digital markets and antitrust enforcement.

Lia van WesenbeeckView profile

Associate Professor

• Development Economics
• Water-Energy-Food Nexus Modelling
• Climate Change Adaptation
• +4 more

Lia van Wesenbeeck is an Associate Professor of Development Economics at Vrije Universiteit Amsterdam's School of Business and Economics, and Director of the Amsterdam Centre for World Food Studies. She holds a PhD from Vrije Universiteit Amsterdam (2000) and previously served as senior researcher at SOW-VU. Her expertise spans general equilibrium theory, water-energy-food nexus modelling, and spatial statistical analysis of vulnerable groups. Research focuses on climate change impacts, food security policy, and sustainable urban agriculture, with leadership in the EU-funded Feed4Food project (2024-2026). She has supervised over 35 bachelor/master students and multiple PhD candidates, and advises Dutch ministries on food security. Key roles include Scientific Subcommittee membership at South Africa's Food Security Centre and advisory roles in Ghana-Netherlands WASH programs. Recent research explores adaptation strategies among Ethiopian farmers, diarrheal disease in Pakistan, and collusive bidding in online auctions. Projects emphasize interdisciplinary approaches linking economics, environmental science, and policy design. Labs/Teams: Leads the Amsterdam Centre for World Food Studies coordinating global food security initiatives. Engages in international collaborations across Africa, Caribbean, and China's Beijing-Tianjin-Hebei region.

Brian BushView profile

Researcher

• Nuclear Physics
• Statistical Physics
• System Dynamics Modeling
• +4 more

Brian Bush is a Researcher at the National Renewable Energy Laboratory (NREL) and a Haskell software engineer at Input Output (IOHK). He holds a Ph.D. in theoretical physics from Yale University (1990) and a B.S. in physics from Caltech (1985). His academic roles include Principal Scientist at NREL, Technical Staff Member at Los Alamos National Laboratory (LANL), and visiting scientist at the National Center for Atmospheric Research (NCAR). His research spans nuclear physics, statistical mechanics, quantum computing, and infrastructure systems modeling. Bush’s work focuses on energy systems, including biomass-to-bioenergy supply chains, renewable energy infrastructure, and quantum information science. He developed the BioLUC land-use change model and contributed to projects like TRANSIMS (traffic simulation) and EPISIMS (epidemic modeling). His software expertise includes C++, Haskell, and system dynamics tools like the Biomass Scenario Model (BSM). His research interests include formal methods for domain-specific languages (e.g., Marlowe for smart contracts), data mining, and visualization. Bush has led interdisciplinary teams in critical infrastructure protection, energy policy analysis, and pandemic simulation. His technical contributions include patents, open-source software, and peer-reviewed publications in physics, environmental science, and computational modeling.

Andrey SarantsevView profile

Associate Professor

• Probability Theory
• Mathematical Statistics
• Financial Mathematics
• +6 more

Dr. Andrey Sarantsev is an Associate Professor of Mathematics and Statistics at the University of Nevada, Reno (UNR), tenured since July 2024. Previously, he was an Assistant Professor at UNR (2018–2024) and a Visiting Assistant Professor at UC Santa Barbara (2015–2018). He holds a Ph.D. in Mathematics from the University of Washington (2015) and a Specialist degree from Lomonosov Moscow State University (2010). His research focuses on Probability Theory, Financial Mathematics, Stochastic Processes, and Actuarial Science. Key areas include systemic risk modeling, stochastic portfolio theory, and time series analysis in finance and ecology. He has advised multiple graduate and undergraduate students, including PhD candidates Abraham Atsiwo and Jihyun Park. Dr. Sarantsev teaches advanced courses in probability, stochastic processes, and Bayesian statistics. He has authored over 40 peer-reviewed articles and contributes to open-access educational initiatives, such as accessible LaTeX mathematics for visually impaired students. His work integrates interdisciplinary applications, including collaborations with astrophysicists and environmental scientists. Notable awards include the McKibben & Merner Fellowship (2010) and repeated Academic Excellence Fellowships during his undergraduate studies. He actively participates in academic service, including roles in graduate committees and Nevada's American Statistical Association chapter.

• Quantum Materials
• Condensed Matter Physics
• Superconductivity
• +4 more

Erica Carlson is a Professor of Physics at Purdue University, specializing in condensed matter physics with a focus on quantum materials and electronic phase transitions. Her research explores emergent electronic behaviors in strongly correlated systems, leveraging advanced microscopy and machine learning techniques. Key areas include fractal pattern formation in quantum materials, magnetically-driven phase transitions, and nanoscale defect dynamics in vanadium dioxide. Her work bridges fundamental physics with educational outreach, including developing NGSS-aligned quantum-infused curricula for K-12 students. She investigates spatial complexity in superconductors and nickelates, uncovering universal scaling laws and disorder-induced critical phenomena. Recent studies apply deep learning to decode disorder-driven electronic patterns in cuprates and topological materials. Collaborations span nanoelectronics, magnetism, and quantum pedagogy, with a particular emphasis on understanding hysteresis mechanisms and memory effects in functional oxides. Her experimental toolkit includes correlative microscopy, quantum Monte Carlo simulations, and advanced noise spectroscopy to probe emergent phases at atomic scales.

• Public Finance
• Urban Economics
• Housing Policy
• +7 more

Christoph Rutschmann is a Researcher affiliated with the Professur für Mukosale Immunologie at ETH Zürich. His work bridges the fields of public finance, urban economics, and housing policy, focusing on topics like homeowners associations (HOAs), land-use regulation, and the interplay between private and public governance systems. He explores how local-level policy decisions impact urban cohesion, tax systems, and market dynamics. His research interests include applied microeconomics, voting behavior in localized contexts, and the economic implications of environmental shocks such as induced earthquakes. He has published extensively on HOAs' role in shaping community development, mitigating negative externalities, and their effects on housing affordability and local governance structures. Rutschmann's work has appeared in leading journals such as Journal of Regional Science , Regional Science and Urban Economics , and Journal of Housing Economics . His studies often combine empirical analysis with policy relevance, addressing questions of fiscal equity, regulatory efficiency, and spatial economic outcomes. No scientific awards or grants are explicitly mentioned in the provided texts. He collaborates frequently with researchers like Rachel Meltzer and Tim Salmon, focusing on projects related to urban development and public policy. Rutschmann's affiliation with ETH Zürich's biology department (via email domain) contrasts with his economics focus, suggesting interdisciplinary engagement or institutional structure nuances. His research lab or team details are not explicitly described in the source material.

Han HongView profile

Professor

• Econometrics
• Health Econometrics
• Statistical Modeling
• +2 more

Han Hong is a Professor of Economics at Stanford University's Department of Economics. He holds a Ph.D. in Economics (1998), M.S. in Computer Science (1998), and M.S. in Statistics (1997) from Stanford University, and a B.A. in International Trade from Zhongshan University (1993). His research focuses on econometric methodology, health econometrics, statistical modeling, and computational economics. He has developed innovative approaches for panel data analysis, structural estimation, and decision-making algorithms. Professor Hong has received numerous honors including the Willard G. Manning Memorial Award (2017), Arrow Award Honorable Mention (2015), and multiple NSF grants. He serves as Co-Editor of the Journal of Econometrics and is a Fellow of the Econometric Society. He teaches courses in Advanced Econometrics, Data Science, and Econometric Methods, and mentors students through honors thesis research and directed reading programs.

Matt ThomsonView profile

Professor

• Biological Engineering
• Cellular and Developmental Biology
• Molecular Biology
• +8 more

Matt Thomson is a Professor of Computational Biology and Investigator at the Heritage Medical Research Institute (HMRI) at the California Institute of Technology (Caltech). He holds a B.A. from Harvard University (2001) and a Ph.D. from Caltech (2011). His academic progression includes roles as Visiting Associate (2016), Assistant Professor (2017-24), and his current full Professor position since 2024. His research focuses on applying quantitative methods to engineer cellular differentiation and control biological systems. Key areas include synthetic biology, single-cell genomics, and active matter systems. Techniques employed include mathematical modeling, machine learning, and single-cell RNA sequencing. Notable achievements include developing optical differentiation systems, computational tools for cell trajectory analysis, and stochastic models of cellular self-organization. Thomson's work bridges biology and engineering, with applications in regenerative medicine, cancer immunotherapy, and foundational research in developmental biology. His lab, the Thomson Lab, collaborates with the SPEC initiative to advance programmable biological systems. He also explores AI-driven approaches for protein engineering and large language model optimization in biological contexts. No scientific awards are explicitly listed in the provided materials. His research is supported by grants and institutional resources at Caltech and HMRI. He advises students and researchers in his lab but no specific names are provided in the text.

Pierluigi D’AcuntoView profile

Assistant Professor

• Computational Design
• Structural Engineering
• Architecture
• +3 more

Pierluigi D’Acunto is an Assistant Professor of Structural Design at the Technical University of Munich (TUM) , holding the Rudolf Mößbauer Tenure Track Professorship. He leads the Structural Design research group, focusing on the intersection of architecture and structural engineering through computational methods. His work emphasizes geometry-based structural design, equilibrium modeling, and fabrication-aware strategies leveraging machine learning and digital manufacturing. Before joining TUM in 2021, he completed a PhD (2018) and postdoctoral research at ETH Zurich, where he also taught. His career includes professional experience in architecture and engineering firms in Italy and Switzerland, alongside international competition awards. His research has been recognized with prestigious accolades, including the ETH Medal (2019) and the IASS Tokyo Award (2016). Key areas of exploration include structural form-finding via AI, computational graphic statics, and sustainable design integration. He has published extensively in journals like Journal of Facade Design and Engineering and International Journal of Solids and Structures , emphasizing innovative structural solutions and human-machine collaboration. Education: Master of Architecture (Distinction, Architectural Association London, 2012), PhD (ETH Zurich, 2018) Awards: ETH Medal, IASS Tokyo Award, Rotary Foundation Scholarship Research Themes: Machine Learning in Design, Structural Form-Finding, Digital Fabrication, Computational Geometry

Ross DavidsonView profile

Lecturer

• Simulation and mathematical models
• Epidemiology (livestock/wildlife/plant disease)
• Bayesian statistical inference
• +4 more

Ross Davidson is a Lecturer at Scotland's Rural College (SRUC), affiliated with the Animal and Veterinary Sciences School and Disease Systems department. He holds a PhD in Theoretical Physics from the University of Manchester (2003), focusing on stochastic systems and non-equilibrium statistical physics. His research bridges mathematical modeling with applied epidemiology, specializing in livestock and wildlife disease dynamics. Davidson collaborates widely across institutions including the University of York, Heriot-Watt University, and the Roslin Institute. He teaches multiple courses in veterinary epidemiology, statistics, and disease modeling at SRUC and the University of Edinburgh. His supervision record includes 10 PhD students focusing on topics like stochastic disease control, biosecurity modeling, and climate change impacts on parasites. Davidson's research interests center on epidemiological modeling, Bayesian inference applications, and livestock health management. He leads projects funded by Scottish Government and EU frameworks, such as socio-epidemiological approaches to livestock biosecurity and productive land management strategies. Key areas of investigation include anthelmintic efficacy, livestock trading networks, and environmental pathogen persistence. He has authored over 20 peer-reviewed articles since 2006, with recent work addressing mechanistic livestock disease models and the efficacy of European heather extracts against gastrointestinal nematodes. His contributions span from theoretical stochastic systems to applied agricultural epidemiology, emphasizing interdisciplinary approaches to disease control.

Michael PavlinView profile

Associate Professor

• Business Analytics
• Pricing and Contract Theory
• Structural Econometrics
• +2 more

Michael Pavlin is an Associate Professor of Operations and Decisions Sciences and William Birchall Chair in Management Analytics at Wilfrid Laurier University's Lazaridis School of Business and Economics. His research focuses on business analytics applications in pricing strategies, energy markets, and healthcare services. He holds expertise in structural econometrics and operational decision-making. Pavlin's publications analyze market structures, service optimization, and resource allocation. His recent work includes studies on healthcare service coordination, electricity market arbitrage, and telemedicine solutions for geriatric pharmacology. He maintains active research collaborations in operations management and quantitative analysis.