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Thorsten ChmuraView profile

Professor

Nottingham Trent UniversityUnited Kingdom

Thorsten Chmura is a Professor in the Department of Economics at Nottingham Business School, Nottingham Trent University. His work focuses on experimental and behavioral economics, utilizing laboratory and field experiments to address real-world challenges. He maintains collaborations within NTU’s Applied Economics and Policy Research Group, Public Service Management Research Group, and international partnerships across Europe, China, and the US. Chair of Industrial Economics at University of Nottingham (previous) Director, Centre for Research in the Behavioural Sciences (previous) PhD in Economics and Physics from University of Bonn Research interests span behavioral economics, experimental economics, game theory, and traffic modeling. His work examines decision-making under risk, wage discrimination, and behavioral responses in complex systems. Recent publications explore AVOD streaming economics (2024), social trading herding (2022), and toll road choice dynamics (2014). Key article trends include: Behavioral responses in financial markets Risk attitudes across 30 countries Cultural value impacts on loyalty programs Traffic flow simulations Game theory applications in coordination problems Experimental validation of economic theories

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Emiliya LazarovaView profile

Professor

University of East AngliaUnited Kingdom

Emiliya Lazarova is a Professor of Economics and Head of the School of Economics at the University of East Anglia (UEA). She chairs the Royal Economics Society’s Conference of Heads of Departments of Economics. Her research focuses on coalition formation, matching theory, and applied economics, with recent projects analyzing technological innovation via patent data, biodiversity market measurements, and international environmental agreements. She has held academic roles at the University of Birmingham and Queen’s University Belfast, teaching quantitative courses like Applied Econometrics and topics in applied microeconomics. Her research interests include coalition dynamics, social housing allocation, and the political economy of environmental policies. Current projects with Dr. Yuan Gao include developing an ex-ante novelty index for inventions and studying biodiversity valuation mechanisms. Lazarova has secured grants from the Royal Economic Society and British Academy, focusing on property rights and economic development in emerging economies. Her work bridges theoretical models and empirical applications, addressing issues like firm behavior under political pressure, patent innovation cycles, and disability discrimination impacts. Collaborations span institutions globally, reflecting her interdisciplinary approach to economic challenges. Advisory roles include supervising PhD students on topics such as status-seeking in matching markets and conflict resolution via coalition theory. Her teaching expertise complements her research, emphasizing quantitative methods and policy analysis.

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Hideyuki TakahashiView profile

Researcher

Yale UniversityUnited States

Hideyuki Takahashi is an Associate Research Scientist in the Department of Neuroscience at Yale University School of Medicine. He holds a PhD from Waseda University (2005) and has established himself as a prominent researcher in neurodegenerative diseases, particularly focusing on lysosomal biology and protein aggregation mechanisms. Dr. Takahashi's research primarily investigates the role of progranulin, TMEM106B, and other molecular players in neurodegenerative conditions including Alzheimer's disease, frontotemporal dementia, and tauopathies. His work spans multiple approaches from molecular and cellular neuroscience to animal models of disease. His recent publications demonstrate a strong focus on lysosomal dysfunction in neurodegeneration, with particular attention to how TMEM106B interacts with other proteins to influence disease progression. The research trends show increasing emphasis on therapeutic interventions targeting specific molecular pathways involved in protein aggregation and synaptic loss. ORCID: 0009-0004-4969-977X Dr. Takahashi maintains active collaborations with several leading researchers at Yale, most notably with Stephen Strittmatter (with whom he has 16 common publications), as well as Anita Huttner, Anthony Koleske, and Le Zhang. His research program appears well-integrated within Yale's neuroscience community, contributing significantly to our understanding of neurodegenerative disease mechanisms.

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Yuki MiuraView profile

Assistant Professor

New York UniversityUnited States

Dr. Yuki Miura serves as Assistant Professor at New York University's Tandon School of Engineering in the Department of Mechanical and Aerospace Engineering and Center for Urban Science and Progress (CUSP), with additional affiliations at NYU Stern's Volatility and Risk Institute and the New York City Panel on Climate Change (NPCC5). Her academic credentials include a Ph.D. (2022), M.Phil. (2021), and M.S. (2017) in Civil Engineering and Engineering Mechanics from Columbia University, complemented by a B.Eng. in System Design Engineering from Keio University (2015). Dr. Miura's research integrates engineering, climate science, finance, and social sciences to develop actionable resilience solutions. Her work focuses on climate risk quantification , urban adaptation strategies , and socioeconomic impact modeling through advanced data analytics. She pioneers methodologies that couple physical climate modeling with socioeconomic vulnerability assessments to deliver implementable risk mitigation frameworks for public and private institutions. Her publication portfolio demonstrates consistent advancement in climate risk analytics, with recent work addressing urban flooding dynamics, precipitation extremes, and infrastructure protection. These studies reveal a distinct trajectory toward integrated risk modeling that bridges climate physics with financial and social dimensions, increasingly leveraging AI-driven approaches for compound hazard assessment. Recognition for her contributions includes the Mindlin Scholar award from Columbia University (2022), with research featured in The New York Times , The New Yorker , and The Nikkei . As director of the Climate, Energy, and Risk Analytics Lab (CERA), Dr. Miura mentors graduate students in developing data-driven solutions for climate resilience. Her industry experience at Morgan Stanley (2021-2024) in climate risk management directly informs her applied research approach, fostering strong connections between academic innovation and real-world implementation. CERA operates as an interdisciplinary hub developing AI-driven methodologies for urban flood modeling, compound climate risk assessment, and socioeconomic impact analysis. The lab maintains active collaborations with the National Center for Atmospheric Research and New York City/State governments to translate research into actionable climate adaptation policies.

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Jai MassariView profile

Lecturer

University of California, BerkeleyUnited States

Jai Massari serves as a Lecturer at the University of California, Berkeley School of Law and holds a Fellowship at the Berkeley Center for Law and Business, while concurrently acting as cofounder and Chief Legal Officer of Lightspark. Her academic appointment complements extensive industry experience: after 11 years at Davis Polk & Wardwell LLP—including five as partner leading the firm's fintech and cryptocurrency practice—she specializes in financial regulatory frameworks spanning digital assets, banking, derivatives, and payment systems. Educational credentials include a JD from Duke University School of Law and a BA in Chemistry from Cornell University. Research interests center on Banking and Financial Regulation with particular emphasis on cryptocurrency applications and evolving regulatory challenges in digital finance, drawing directly from her frontline legal practice. Her industry leadership informs practical curriculum development in financial law despite limited traditional academic publication output. Professional narrative highlights a seamless integration of private-sector legal expertise into academic instruction, with no documented student advisement or formal research grants but significant real-world impact through corporate governance and regulatory compliance initiatives at Lightspark.

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Forest M. WhiteView profile

Professor

Massachusetts Institute of TechnologyUnited States

Professor Forest M. White is a faculty member at MIT's Department of Biological Engineering , where he holds the Ned C. and Janet Bemis Rice Professorship . He is affiliated with the Koch Institute for Integrative Cancer Research and the MIT Center for Precision Cancer Medicine . His research focuses on systems biology and computational modeling of signaling networks in cancer, particularly at the tumor-immune interface . Education: B.S. in Chemistry (Framingham State College, 1993), Ph.D. in Analytical Chemistry (Florida State University, 1997) Professional Journey: Postdoc at University of Virginia, Research Scientist at MDS Proteomics, Assistant Professor at MIT (2003), Mitsui Career Development Professor (2005-2008) White employs high-resolution mass spectrometry to analyze protein phosphorylation and antigen presentation in cancer models, complementing genomic/transcriptomic approaches. His lab has identified chronic stress response enzymes linking high-fat diets to metabolic dysfunction and discovered resistance mechanisms in cancer therapies through phosphoproteomics . Scientific Awards: Mitsui Career Development Professorship (2005-2008) Ruth and Joel Spira Award for Excellence in Teaching (2010) Fellowship from the Ludwig Center at MIT The White Lab actively recruits trainees (undergraduates, graduates, postdocs) through programs like MSRP , CSB , and HST . His work is supported by grants from Break Through Cancer and Ludwig Center , with collaborations spanning Cima Lab , Swanson Biotechnology Center , and MIT Koch Institute .

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Tiina RitvalaView profile

Associate Professor

Aalto UniversityFinland

Tiina Ritvala is an Associate Professor and Assistant Dean (Teaching and Education) at the Department of Management Studies, Aalto University. Her research focuses on cross-sector collaboration between multinational corporations (MNCs), cities, and nonprofits in contexts like sustainable cities, energy transition, and cultural fields. She holds a D.Sc. (Econ.) from the Helsinki School of Economics (2008) and has been a Visiting Scholar at SCANCOR/Weatherhead (Harvard), Queen's University (Canada), and WU Vienna. Her work bridges organizational theory, international business, and social purpose. **Research Interests**: Cross-sector partnerships, multinational corporations, institutional change, sustainable cities, cultural and creative fields, energy transition. These areas are explored through case studies on global-local dynamics, MNE-NGO interactions, and sustainability initiatives. Recent work emphasizes spatial analysis in international business and geopolitical influences on corporate strategies. **Awards**: Received the Best Paper Award at EIBA 2017 for research on MNEs and sustainable development, the 1997 McKinsey Award for academic excellence, and a distinguished paper honor in the EDAMBA Thesis Competition (2009). **Professional Background**: Prior to academia, she worked in business consulting for a decade and engaged in volunteer work. Her teaching and administrative roles complement her research, focusing on international business education and institutional innovations. **Key Contributions**: Leads the Sustainability in Business research group, exploring topics like energy utilities' transition to renewables, MNC spatial strategies, and transnational commons governance. Her work often highlights the interplay between global institutions and localized action in addressing societal challenges.

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Ashish ThatteView profile

Associate Professor

Gonzaga UniversityUnited States

Ashish Thatte serves as Associate Professor of Operations Management at Gonzaga University, teaching undergraduate courses including Operations Management (OPER 340), Lean Thinking (OPER 347), and Supply Chain Management (OPER 489), alongside graduate courses such as Global Operations (MBUS 640), Lean Thinking (MBUS 648), and Supply Chain Management (MBUS 699). His industry background encompasses manufacturing management and supply chain/logistics roles in multinational corporations. His academic credentials feature a Ph.D. and M.S. from the University of Toledo, complemented by an M.B.A. and B.E. from the University of Pune (India), plus APICS CPIM certification: CPIM, APICS Ph.D., University of Toledo M.S., University of Toledo M.B.A., University of Pune (India) B.E., University of Pune (India) Dr. Thatte's research centers on supply chain responsiveness, competitive advantage, and information systems in operations, with significant extensions into consumer behavior (particularly Gen Z purchasing in beauty care) and healthcare operations (emergency department efficiency and medical procedure cost analysis). His work bridges theoretical frameworks with practical applications across manufacturing, retail, and healthcare sectors. Analysis of his 15 most recent publications reveals three dominant research trajectories: (1) Supply chain responsiveness mechanisms and their competitive impact through supplier networks and modular manufacturing; (2) Cross-cultural consumer behavior examining regional variations in brand perception; (3) Healthcare operations optimization in emergency departments and procedural cost-effectiveness. His interdisciplinary approach connects operations theory with real-world business challenges across automotive, sports analytics, and global consumer markets. No scientific awards were documented in the available information. While the provided materials confirm his teaching responsibilities and publication record, specific details regarding student advisement, research grants, or laboratory affiliations remain undisclosed in the source materials.

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Alina LandowskaView profile

Assistant Professor

SWPS University of Social Sciences and HumanitiesPoland

Alina Landowska serves as Assistant Professor in the Department of Cultural Studies at the Faculty of Humanities, SWPS University of Social Sciences and Humanities in Warsaw. Her academic profile integrates cultural studies, computational linguistics, and ethics, with significant contributions to understanding moral foundations in digital discourse and technological futures. Her educational background includes degrees in Management and Economics from Gdańsk University of Technology and European Integration from the Pontifical University of John Paul II in Krakow, complemented by international scholarship experiences: SDG Academy (United Nations) Tantur Ecumenical Institute, Jerusalem (University of Notre Dame) Baltic University Program, Uppsala Swedish Institute of Environmental Research, Kalmar Royal Danish Student Fund, Copenhagen Landowska's research investigates cultural evolution through computational discourse analysis, focusing on morality-technology intersections. She pioneers text-mining methodologies to examine moral foundations in social media, anticipatory rhetoric in digital communication, and value-based management frameworks. Her work bridges humanities with data science, analyzing polarization mechanisms and proleptic cues in online environments while exploring cooperation ethics in business contexts. Recent publications demonstrate methodological innovation in mapping technological futures through sentiment/emotion analysis and moral-value detection systems. Her article corpus reveals consistent thematic threads: digital rhetoric analysis (particularly prolepsis functions), moral psychology applications in AI/social media, and cultural evolution studies linking cooperation theory with business ethics. This interdisciplinary approach positions her at the nexus of computational social science and humanistic inquiry. No scientific awards or prizes are documented in her current professional profile. As an educator, Landowska mentors students in discourse analysis methodologies and socio-economic media studies while serving as executive coach with EMCC Poland. Her research leadership extends to co-founding the Institute for Development think tank and representing Employers of Poland at the OECD's Business and Industry Advisory Committee (2016-2018). She previously held vice-presidential roles in the Polish Association of Businesswomen. Landowska maintains active research affiliations with the Humanistic Management Center (University of Lucerne), International Council for Small Business (George Washington University), and ArgDiaP association. Her 2022-2024 tenure with New Ethos Lab advanced dialogue studies in persuasion frameworks, complementing her current work on digital rhetoric's ethical dimensions.

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Zechuan LinView profile

Lecturer

Yale UniversityUnited States

Zechuan Lin is a Lecturer at the Department of Neurology , Yale School of Medicine, and a member of the Adams Center for Parkinson's Disease Research . He previously held a postdoctoral research fellowship at Harvard Medical School/Brigham and Women's Hospital in 2023 and earned his PhD from Peking University, College of Life Sciences in 2019. His research bridges computational biology , genomics , and plant genetics , focusing on genetic improvement in crops like rice and maize. Key methodologies include heterosis analysis , transcriptomic profiling , and QTL mapping to dissect agronomic traits and environmental adaptation. Lin's publications highlight advancements in hybrid rice breeding , genome-wide selection , and computational tools for allelic imbalance and daylength-sensing models. His work integrates bioinformatics and genetic networks to address both fundamental and applied biological questions. He is affiliated with Scherzer's Lab , which employs interdisciplinary approaches to neurogenomics and personalized medicine for neurological disorders like Parkinson's disease. His contributions to big data analysis and cross-species genetic studies reflect a unique intersection of plant and neurogenomics.

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Colin AtkinsonView profile

Professor

University of MannheimGermany

Colin Atkinson is a Professor in the School of Business Informatics and Mathematics at the University of Mannheim, where he has led the Software Engineering Group since April 2003. He additionally serves as head of the Examination Board for the Bachelor Business Informatics course, with administrative support from secretary Simone Kehrberg. His educational background includes a Ph.D. and M.Sc. in Computer Science from Imperial College, London (awarded in 1990 and 1985 respectively), and a B.Sc. in Mathematical Physics from the University of Nottingham (1983). Prior academic appointments include professorships at the University of Kaiserslautern and the affiliated Fraunhofer Institute for Experimental Software Engineering, followed by an Assistant Professorship in Software Engineering at the University of Houston – Clear Lake from 1991 to 1997. Professor Atkinson's research concentrates on Model-Driven Development with specialized focus on deep modeling and view-based modeling techniques, complemented by significant contributions to Dynamic Software Analysis and Software Search methodologies within the broader domain of Software Engineering. His work bridges theoretical frameworks with practical applications in software system construction and analysis.

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Mehmet KoyutürkView profile

Professor

Case Western Reserve UniversityUnited States

Mehmet Koyutürk serves as the Andrew R. Jennings Professor in the Department of Computer and Data Sciences at Case Western Reserve University's Case School of Engineering, with additional affiliation as a Member of the Cancer Genomics and Epigenomics Program at the Case Comprehensive Cancer Center. His computational research bridges algorithm development with biological applications, focusing on network-structured data analysis to address complex biomedical challenges. Dr. Koyutürk earned his Ph.D. in Computer Science from Purdue University following B.S. and M.S. degrees in Electrical Engineering and Computer Engineering from Bilkent University. His primary research domains include high-throughput biological data analysis, systems/network biology methodologies, data mining algorithms, and scientific computing optimization, with particular emphasis on phosphorylation networks, genomic interactions, and multi-omics integration. Recent publication trends reveal expanding applications of his network science expertise into Alzheimer's disease phosphoproteomics, bipolar disorder biomarker discovery, and intimate partner violence analysis, while maintaining core contributions to graph neural networks and biological link prediction. His group actively develops open-source analytical tools like RokaiXplorer for phospho-proteomic data accessibility. Scientific Recognition Andrew R. Jennings Professorship Dr. Koyutürk leads multiple NIH-funded initiatives including R01-LM012980 for phosphoproteomics analysis, U01-CA198941 (BD2K program) for big network integration, and R01-LM011247 for GWAS enhancement, complemented by NSF CAREER Award CCF-0953195. He serves on the steering committee for CWRU's Systems Biology and Bioinformatics graduate programs and as Associate Editor for IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), with extensive collaboration through Mark Chance's Center for Proteomics and Bioinformatics. His laboratory specializes in developing scalable algorithms for biological network analysis, currently advancing projects on kinase-substrate association prediction, co-phosphorylation network characterization in cancer, and network-based approaches to intimate partner violence data mining, with strong emphasis on translating computational methods into biomedical insights through open-source software dissemination.

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Jean Van Den ElsenView profile

Professor

University of BathUnited Kingdom

Prof Jean Van Den Elsen is a Professor of Biochemistry at the University of Bath , affiliated with the Department of Life Sciences and several research centers including the Centre for Sustainable Chemical Technologies (CSCT) , Centre for Therapeutic Innovation , and Milner Centre for Evolution . They are actively accepting doctoral students and leading multidisciplinary projects at the intersection of structural biology and immunology. Education: Not explicitly mentioned Appointments: University of Bath (current), with collaborations across Chemistry, Biology & Biochemistry departments Research Focus: The laboratory investigates protein structural biology in two major areas: Complement System Interactions: Studying how pathogenic microbes like Staphylococcus aureus evade host immunity through complement system manipulation , with structural analysis of proteins such as C3d and C5 complexes. This work directly informs vaccine design and autoimmune disease treatment . Glycation Mechanisms: Developing diagnostic tools for detecting non-enzymatic sugar modifications linked to diabetes , Alzheimer's , and aging, with commercial partnerships like Abcam . Article Trends: Recent publications demonstrate: Structural analysis of complement evasion proteins (2022-2025) Engineering knob domains as miniature antibodies (2023) Evolutionary studies on cooperative behavior (2021-2025) Advancements in peptide synthesis platforms (2022-2023) Applications of AI protein folding (2020) Scientific Contributions: ORCID: 0000-0002-0367-1956 BBSRC Funding recipient (2023) 100+ citations across 76 research outputs Student Mentorship: Directly supervising 4 current PhD students and 1 postdoc, with a track record of mentoring 11 previous students including Daphne Jackson Fellows and MSCA researchers. Collaborations: Maintains active partnerships with Dr. Tony James (Chemistry), Dr. Rob Williams (Biochemistry), and industry partners UCB Celltech and Porton Biopharma Ltd. Their work contributes to UN Sustainable Development Goals 3 (Good Health), 12 (Responsible Consumption), and 13 (Climate Action).

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Cleotilde GonzalezView profile

Research Professor

Carnegie Mellon UniversityQatar

Cleotilde (Coty) Gonzalez is a Research Professor of Decision Sciences at Carnegie Mellon University, with primary affiliation in the Department of Social and Decision Sciences (SDS). She serves as the Founding Director of the Dynamic Decision Making Laboratory (DDMLab) and Research Co-Director of the NSF National Institute for AI for Societal Decision Making (AI-SDM). Her extensive academic affiliations include the Security and Privacy Institute (CyLab), the Societal Computing program in the Software and Societal Systems Department (S3D), the Human-Computer Interaction Institute (HCII) in the School of Computer Science, and the Center for Behavioral Decision Research (CBDR) and Center for Neural Basis of Cognition (CNBC). Dr. Gonzalez holds a Ph.D. in Management Information Systems and has developed Instance-Based Learning Theory (IBLT), a significant contribution to cognitive science that explains how people make decisions based on past experiences. Her research spans experimental studies and computational modeling of cognitive processes in dynamic decision environments, with applications in cybersecurity, human-machine teaming, and societal decision making. Her recent publications reveal a strong focus on human-AI collaboration, collective intelligence, cybersecurity, and cognitive modeling. The research trends show increasing integration of AI systems with human decision processes, particularly examining how humans and AI can complement each other in complex decision environments. Her work increasingly addresses cybersecurity challenges through behavioral science perspectives, exploring how cognitive models can improve defense mechanisms against social engineering attacks. Lifetime Fellow of the Cognitive Science Society Lifetime Fellow of the Human Factors and Ergonomics Society Member of the Governing Board of the Cognitive Science Society Member at Large of the Policy Council of the System Dynamics Society Committee member of the National Academies Division Committee for the Behavioral and Social Sciences and Education Dr. Gonzalez has mentored over 50 post-doctoral fellows and doctoral students, with many going on to successful careers in academia, government, and industry. Her research has been supported by major collaborative efforts including Collaborative Research Alliances (CRA) and Multi-University Research Initiative grants from the Army Research Laboratories (ARL) and Army Research Office (ARO), as well as projects with the Defense Advanced Research Projects Agency (DARPA). She directs the Dynamic Decision Making Laboratory, which conducts research involving laboratory experiments and cognitive computational models to derive theoretical conclusions about dynamic decision making and develop applications for societal problems.

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Thomas WildView profile

Professor

Technical University of MunichGermany

Dr.-Ing. Thomas Wild serves as an Academic Director at the Technical University of Munich (TUM), working within the TUM School of Computation, Information and Technology at the Chair of Integrated Systems. He maintains an active research and teaching role at the institution, with his office located in Building N1 (Theresienstr. 90), Room N2136 in Munich, Germany. Dr. Wild's research focuses on advanced computing architectures, with particular emphasis on manycore system on chip (SoC) architectures, network processor (NPU) architectures, on-chip communication architectures including networks on chip (NoC), and system level design methodologies. His work bridges theoretical research with practical implementation, often exploring design space exploration techniques to optimize system performance. The evolution of his research over two decades demonstrates a consistent focus on improving communication architectures and system-level design for embedded and high-performance computing platforms. His recent publications (2023-2025) reveal a growing integration of machine learning techniques with traditional hardware design, particularly in optimizing power-performance tradeoffs in embedded systems. There's a clear trend toward hardware-software co-design approaches, with significant work on SmartNICs, Linux system optimization, and network processing acceleration. His research shows strong interdisciplinary connections between computer architecture, networking, and machine learning. EUROPRACTICE representative for TUM city campus, facilitating access to commercial EDA tools for academic purposes Active collaborator with Professor Andreas Herkersdorf and other researchers at TUM Focus on practical implementations with FPGA-based prototyping and real system modifications Dr. Wild teaches several hardware design courses including VHDL Lab, SystemC Lab, and HW/SW Codesign, contributing to the education of next-generation computer engineers. His teaching directly complements his research in system design and hardware acceleration, providing students with hands-on experience in cutting-edge technologies.

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