جست‌وجوی استاد و پژوهشگر

Anna Seigalمشاهده پروفایل

استادیار

• Applied Algebraic Geometry
• Algebraic Statistics
• Tensors and Multilinear Algebra
• +۵ مورد دیگر

Anna Seigal is an Assistant Professor of Applied Mathematics at Harvard University's School of Engineering and Applied Sciences (SEAS), with an affiliation in the Department of Statistics. Her research focuses on applied algebraic geometry, tensors, multilinear algebra, and algebraic statistics, particularly in the context of data science. She explores algebraic approaches to data analysis, including matrix/tensor factorizations, parameter estimation, causal inference, and optimization, with applications to physical and biological systems. Her work is supported by the Sloan Foundation and Harvard's Dean’s Competitive Fund. Research Interests: Algebraic statistics, tensors and multilinear algebra, applied algebraic geometry, and the mathematics of data science. She investigates group symmetries in models, dimensionality reduction techniques, and machine learning algorithms. Current projects include causal disentanglement via cumulants and invariant theory applications to maximum likelihood estimation. Her academic contributions span theoretical advancements and interdisciplinary applications, such as genomic template analysis and COVID-19 molecular phenotyping. She collaborates with postdocs and students on research projects and teaches courses like Applied Math 210. Awards and Funding: Supported by the Alfred P. Sloan Foundation and Harvard's internal grants. No explicit named awards listed, but her research is institutionally recognized. Labs/Teams: Leads a research group focused on applied algebra and geometry in data science. Collaborates across departments in SEAS and the Statistics Department.

• Psychometrics
• Educational Measurement
• Statistical Modeling
• +۳ مورد دیگر

Prof. Dr. Steffi Pohl is a Professor of Methods and Evaluation/Quality Assurance at the Department of Methods and Evaluation/Quality Assurance, Faculty of Education and Psychology, Freie Universität Berlin. She holds editorial roles in prominent journals like Psychometrika and Journal of Educational and Behavioral Statistics . Her research focuses on psychometrics, log data analysis, missing data mechanisms, and causal inference in educational assessments. Steffi Pohl's academic journey includes a Diplom in Psychology from Freie Universität Berlin (1998–2004) and a Ph.D. in Psychometrics (2005–2010) from Friedrich-Schiller-Universität Jena. She has held various research positions, including at the National Educational Panel Study (NEPS) and the University of Hertfordshire, UK. Her work emphasizes methodological advancements in testing, missing data, and measurement invariance across populations. Her research interests span psychometric modeling, log data analysis, and addressing challenges in large-scale educational assessments. Key contributions include innovations in response time analysis, disentangling engaged/disengaged test behaviors, and improving cross-cultural comparisons in educational rankings. She has been recognized with the 2020 Early Career Award from the Psychometric Society and the 2011 Gustav A. Lienert Dissertation Prize. In addition to research, Pohl teaches courses on empirical social research methods and multivariate analysis techniques. She actively contributes to university governance as a member of the Academic Senate at Freie Universität Berlin and serves as a trusted advisor for the German National Academic Foundation.

Michael Ungeheuerمشاهده پروفایل

دانشیار

• Behavioral Finance
• Investor Behavior
• Portfolio Choice
• +۳ مورد دیگر

Michael Ungeheuer is an Associate Professor of Finance (tenured) at Aalto University's Department of Finance and a Research Council of Finland Research Fellow (2022–2027). His research focuses on behavioral finance, investor decision-making under risk, and the impact of learning environments on investment choices. He holds a Ph.D. in Finance from the University of Mannheim and has held visiting scholar positions at institutions including the University of Chicago Booth School of Business and the University of Zurich. **Education**: Ph.D. in Finance (summa cum laude), University of Mannheim (2017) M.Sc. in Finance, Illinois Institute of Technology (2011), funded by a Fulbright Scholarship Diplom Business Economics (equivalent to M.Sc.), University of Mannheim (2010) **Research Interests**: Behavioral Finance (investor behavior, household finance, portfolio choice), Judgment and Decision Making (risk perception, learning environments). His empirical work combines archival data and randomized experiments. **Awards and Grants**: Extensive funding from institutions like the Academy of Finland, Nasdaq Nordic Foundation, and OP Financial Group. Notable awards include the Karins-Islinger Dissertation Award (2017) and DAAD research grants. **Teaching**: Leads courses in Corporate Finance, Experimental Design in Economics, and PhD-level seminars. Advised over 63 Bachelor’s, 16 Master’s, and 1 PhD thesis. Engages in executive education through Aalto Executive Education. **Professional Activities**: Co-chair of Helsinki Finance Summit, reviewer for top journals (Journal of Finance, Management Science), and academic service roles in global finance associations.

Scott Carsonمشاهده پروفایل

دانشیار

• Ancient and Medieval Philosophy
• Philosophy of Biology
• Analytic Philosophical Theology
• +۹ مورد دیگر

Scott Carson is an Associate Professor in the Department of Philosophy at Ohio University's College of Arts and Sciences, where he also serves as Chair. He is a participating faculty member in the Ohio Center for Ecology and Evolutionary Studies (OCEES) and a faculty associate in The George Washington Forum on American Ideas, Politics, and Institutions, reflecting his interdisciplinary engagement across philosophy, biology, and the humanities. Education: Ph.D., Philosophy, Duke University (1996) Ph.D., Classical Philology, University of North Carolina at Chapel Hill (1986) M.A., Roman History, University of North Carolina at Chapel Hill (1981) B.A., Kent State University (1978) His research centers on Ancient and Medieval Philosophy, Philosophy of Biology, and Analytic Philosophical Theology. He investigates Aristotle’s logic and epistemology, the structure of evolutionary theory, mechanistic explanation in science, and the role of indeterminacy in scientific theories. His work bridges classical philosophy with contemporary scientific thought, particularly in evolutionary biology and biomedical sciences. He is currently working on two book manuscripts: Aristotle’s Scientific Realism and Explaining Nature and the Nature of Explanation: A History of Philosophical and Scientific Naturalism . His recent publications reflect a deep engagement with both historical and analytical philosophy, spanning topics from Aristotelian semantics to the metaphysical foundations of evolutionary theory. These works show a consistent focus on logical rigor, scientific methodology, and the philosophical implications of biological theories. His interdisciplinary approach integrates philology, logic, and philosophy of science. Scott Carson has no listed scientific awards in the provided text. He advises students in philosophy, particularly in ancient and medieval thought and philosophy of science, though specific advisees are not named. His teaching includes courses such as Ancient Greek Philosophy, Medieval and Renaissance Philosophy, Plato, and Philosophy of Biology. He is involved in research grants and collaborative projects through OCEES and the George Washington Forum, supporting interdisciplinary scholarship. He has contributed to digital humanities through early computational tools for Greek language and classical texts. He is affiliated with the Ohio Center for Ecology and Evolutionary Studies (OCEES), which supports research integrating ecological and evolutionary perspectives across disciplines. His work in the George Washington Forum extends his inquiry into the philosophical and political foundations of American institutions, linking historical and contemporary thought.

Nancy Cartwrightمشاهده پروفایل

استاد

• Philosophy of Science
• Philosophy of Physics
• Philosophy of Economics
• +۹ مورد دیگر

Nancy Cartwright is Professor of Philosophy at Durham University and Distinguished Professor at the University of California, San Diego (UCSD). She has held academic positions at Stanford University and the London School of Economics, and is a Fellow of the British Academy (FBA) and the Academy of Social Sciences (FAcSS). Her work bridges the philosophy of natural sciences and the social sciences, with a current focus on evidence, objectivity, and policy. Her educational background, while not detailed in the text, can be inferred from her affiliations with top-tier research institutions and her extensive scholarly output. She has been a leading voice in rethinking the role of evidence in science and policy. Cartwright's research interests include the philosophy of science, causality, evidence-based policy, scientific methodology, objectivity, and the limitations of randomized controlled trials. She critically examines how scientific knowledge is generated and applied, particularly in complex social and medical contexts. Her work emphasizes the importance of context, pluralism, and middle-range theory in making reliable predictions. The analysis of her recent publications reveals a consistent focus on the philosophical foundations of evidence and policy. Her work challenges the over-reliance on methodological rigor alone, advocating instead for a more nuanced, context-sensitive, and diverse evidential base. Themes such as reliability over truth, the value of inexactness, and the need for intellectual humility recur across her writings, reflecting a pragmatic and realist approach to science. Fellow of the British Academy (FBA) Fellow of the Academy of Social Sciences (FAcSS) While no direct information about her advising or grants is provided, her leadership in major research projects such as K4U and her frequent keynote roles suggest active mentorship and significant grant funding. She collaborates with interdisciplinary teams across institutions including Durham, UCSD, LSE, and international partners. Her involvement in centers like the Institute of Advanced Study (Durham) and CEiRSI indicates strong institutional support and collaborative networks focused on evidence, causality, and policy impact. She is associated with research groups such as the Knowledge for Use (K4U) project and participates in workshops and seminars centered on structure, ecological thinking, and policy design. Her work with the Center for Empirical Philosophy and Behavioral Insights (CEPBI) and involvement in events like the Carl G. Hempel Lecture series underscore her continued leadership in the philosophical community.

Luis Ortizمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Computational Game Theory
• +۱۲ مورد دیگر

Luis Ortiz is an Associate Professor at the University of Michigan - Dearborn in the Department of Computer and Information Science , College of Engineering and Computer Science. He previously held faculty positions at Stony Brook University (2008-2015), University of Puerto Rico, Mayaguez (2007-2008), and postdoctoral roles at MIT (2004-2006) and University of Pennsylvania (2001-2004). His research spans Artificial Intelligence , Machine Learning , Game Theory , and Graphical Models , with applications to networks, security, finance, and health. Education: Ph.D., Computer Science, Brown University (2002) B.S., Computer Science, University of Minnesota, Twin Cities His recent publications focus on graphical games, causal inference, and probabilistic modeling, with contributions to Nash equilibrium computation, strategic network analysis, and multi-agent systems. He has received multiple NSF awards , including a CAREER grant. Scientific Awards: 2019 NSF Research Award 2011 NSF CAREER Award 2008 NSF Faculty Diversity Award Ortiz has advised projects in computational game theory , machine learning , and network security . His research grants include NSF funding and industry support from Huawei/FutureWei Technologies. He has led projects on interdependent defense games, wireless localization, and causal strategic inference in networked systems. Labs & Teams: Collaborates with the Stony Brook Game Theory Summer Festival , University of Pennsylvania's Computer and Information Science Department , and industry partners in cellular networking and security.

• Philosophy of Mind
• Philosophy of Science
• Mental Causation
• +۵ مورد دیگر

David Pineda Oliva is an Associate Professor in the Department of Philosophy at the University of Girona. His academic work is centered on the philosophy of mind, particularly the mind-body problem, mental causation, emotions, and desires. He is affiliated with the Research Group in Philosophy and contributes to both national and international philosophical discourse. His research interests include: Philosophy of Mind, especially the causal efficacy of mental states The nature and structure of emotions and their interplay with desires Foundations of mental representation and consciousness Logical and philosophical underpinnings of cognitive science David has published extensively in leading philosophy journals such as Philosophy and Phenomenological Research , European Journal of Philosophy , Theoria , Dialectica , and International Studies in the Philosophy of Science . He is the author of two influential books: La mente humana and Sobre las emociones , both published by Ediciones Cátedra. His publications reflect a sustained engagement with core issues in metaphysics and epistemology of mind, focusing on how mental phenomena can be causally effective in a physical world and how emotions contribute to rational cognition. His scientific contributions are recognized through his ORCID identifier (0000-0002-2505-7551), and he actively participates in research projects and academic conferences. While no specific awards are listed, his publication record in high-impact journals indicates scholarly recognition. He advises students in philosophy and contributes to the academic community through his role in the Research Group in Philosophy. There is no mention of external grants, but his sustained research output suggests ongoing institutional or project-based support. He is based in office 4.16 at the Sant Domènec I building in Girona.

David S. Choiمشاهده پروفایل

دانشیار

• Statistics
• Machine Learning
• Network Analysis
• +۵ مورد دیگر

David S. Choi is an Associate Professor at Heinz College, Carnegie Mellon University, which houses the Schools of Public Policy and Information Systems. He maintains a courtesy appointment in the Department of Statistics at the same institution. His academic credentials include a Ph.D. in Electrical Engineering from Stanford University under Benjamin Van Roy. Professional experience encompasses roles as a technical staff member at MIT Lincoln Laboratory, postdoctoral research at Harvard University's School of Engineering, and a visiting postdoc at UC Berkeley's Department of Statistics. Choi's research centers on statistical and machine learning methodologies for network-structured data. His work pioneers community detection techniques, latent variable network modeling, unsupervised learning frameworks, and causal inference methods that account for interference in social networks. These innovations address fundamental challenges in analyzing interconnected systems across public policy, healthcare, and social sciences. Publication analysis reveals consistent contributions to causal inference in networked experiments, particularly in characterizing interference and spillover effects. His scholarship spans network clustering algorithms, biological network modeling, and policy evaluation methodologies, with impactful work published in Journal of the American Statistical Association, PNAS, and Annals of Statistics. No scientific awards were documented in the source material. The available information does not reference doctoral students supervised or research grants managed by Professor Choi. Specific research laboratories or collaborative teams were not mentioned in the provided documentation.

Abhisekh Ghosh Moulickمشاهده پروفایل

استادیار

• Entrepreneurship
• Strategy
• Entrepreneurial Strategy
• +۳ مورد دیگر

Abhisekh Ghosh Moulick is an active Assistant Professor in the Lawrence N. Field Department of Entrepreneurship and Innovation at the Zicklin School of Business, City University of New York (CUNY), with contact email Abhisekh.GhoshMoulick@baruch.cuny.edu and phone (646) 312-3635. His academic qualifications are: PhD from Texas A&M University BSc from University of London Research expertise centers on entrepreneurship and strategic management, with specialized focus on: Entrepreneurial Strategy Social Innovation and Entrepreneurship Nonmarket Strategy Strategic Human Capital United Way systems analysis Cross-cultural entrepreneurial experiences His work addresses institutional gaps in emerging economies and compensation dynamics in mission-driven organizations. Publication trends (2014-2023) reveal concentrated scholarship in causal complexity within entrepreneurship research, fiscal management in public schools, and United Way grant allocation systems. Key patterns include quantitative analysis of entrepreneurial phenomena, strategic compensation in nonprofits, and the impact of weak institutions on entrepreneurial catalysis. No scientific awards or honors were documented in the provided text. Student advising and grant activities are unreported; the text contains no references to doctoral students, master's candidates, or funded research projects. Institutional affiliations and research teams remain unspecified beyond his departmental appointment.

Yvonne Crippsمشاهده پروفایل

استاد

• Intellectual Property Law
• Biotechnology Law
• Privacy Law
• +۳ مورد دیگر

Yvonne Cripps is the inaugural Harry T. Ice Chair of Law at Indiana University Maurer School of Law, a position she has held since 2000. An internationally recognized scholar, she specializes in intellectual property law, biotechnology, and privacy law. She holds visiting professorships at Cornell Law School, University of Texas at Austin, and institutions in Paris. Professor Cripps earned her LL.B. and LL.M. from Victoria University of Wellington and a Ph.D. from the University of Cambridge. Her research explores intersections of law with emerging technologies, focusing on: Legal frameworks for genetic engineering and biotechnological innovation Intellectual property rights in life sciences Ethical implications of biomedical advances Privacy protections in information disclosure contexts Her publications demonstrate sustained focus on biotechnology law evolution, patent reform, and constitutional implications of scientific advancement, with recent work examining bioethical dilemmas in genetic research. Honors include: First holder of endowed Harry T. Ice Chair Membership in the Honorable Society of the Inner Temple American Law Institute membership Advisory roles for UK House of Lords and New Zealand government Professor Cripps consults for governments and corporations on intellectual property matters and has contributed to legal reforms in Sri Lanka. No information about research labs or student supervision is provided.

• Econometrics
• Actuarial Sciences
• Inflation Uncertainty
• +۵ مورد دیگر

Mehmet Kenan TERZİOĞLU is a Professor at Trakya University, Faculty of Economics and Administrative Sciences, Department of Econometrics as of 2024. His academic journey includes undergraduate studies in Statistics at Hacettepe University (thesis on Renewal Process in Stochastic Processes), Master's studies in Actuarial Sciences at Hacettepe University (thesis on Valuation Approaches in Life Insurance), and doctoral studies in Econometrics at Gazi University (thesis on The Effects of Inflation Uncertainty on Economic Performance and Policy Variables). Dr. TERZİOGLU's primary research interests span several key areas of economics and quantitative methods: Econometrics methodologies and applications Actuarial science and insurance valuation Inflation uncertainty and economic policy Financial risk management and value at risk Migration economics and tourism impacts Oil price shocks and exchange rate dynamics His research output demonstrates a strong focus on applying advanced statistical and econometric techniques to economic and financial problems, with particular emphasis on Turkish economic conditions. His work often employs sophisticated modeling approaches including Markov-switching models, stochastic volatility models, and error correction frameworks. Dr. TERZİOGLU has contributed significantly to academic literature through numerous journal publications, conference presentations, and book chapters. His work appears in reputable journals including the European Actuarial Journal and various economics publications. He has also contributed to academic publishing through editorial work, having edited books on econometrics methods and current topics in econometrics.

Mohammad Mahdi Khaliliمشاهده پروفایل

استادیار

• Machine Learning
• Theoretical Machine Learning
• Applied Machine Learning
• +۶ مورد دیگر

Mohammad Mahdi Khalili is an Assistant Professor in the Department of Computer Science and Engineering at The Ohio State University's College of Engineering. He also serves as a part-time Research Scientist at Yahoo! Research, focusing on theoretical and applied machine learning with emphasis on robustness, interpretability, and model compression for large-scale systems including LLMs. Dr. Khalili earned his Ph.D. in Electrical Engineering and Computer Science and MSc in Applied Mathematics from the University of Michigan, Ann Arbor. Prior to OSU, he was a research scientist at Yahoo Research and a postdoctoral researcher at UC Berkeley. His research spans mechanistic interpretability of foundation models , privacy-aware model compression , and fairness in sequential decision-making . Current projects include counterfactual reasoning for fair ML, physiological signal analysis for worker health monitoring, and corruption analysis in model mechanisms. His work bridges theoretical guarantees with practical healthcare and security applications. Recent publications reveal strong focus on model compression techniques (block-wise sparsity, quantization) and interpretability methods for LLMs, with growing emphasis on physiological signal processing applications. The 2024-2025 papers show increasing integration of healthcare domains like ECG analysis and construction worker monitoring. Dr. Khalili currently advises four PhD students: Zhiqun Zuo: Counterfactual Reasoning Zhongteng Cai: Privacy-Aware Model Compression (UAI travel grant recipient) Ding Zhu: Trustworthy Model Compression & Time Series Analysis Vishnu Chhabra: Mechanistic Interpretability His research is supported by two NSF grants (health monitoring systems and dynamic environment robustness), a Translational Data Analytics Institute grant for medical AI, and a College of Engineering grant for large-scale systems. The lab recently acquired a dedicated GPU server for intensive computations. He actively contributes to the ML community through invited talks (Midwest Machine Learning Symposium) and publications in top venues including NeurIPS, ICML, and UAI.

Victor Chernozhukovمشاهده پروفایل

استاد

• High-Dimensional Statistics
• Econometrics
• Quantile Regression
• +۳ مورد دیگر

Victor Chernozhukov is a Professor at the Department of Economics and Center for Statistics at the Massachusetts Institute of Technology (MIT) . He also holds international fellowships at the University College London's CEMMAP and is a Professor by Courtesy at the New Economic School in Russia. His research spans econometrics, high-dimensional statistics, quantile regression, and causal inference. Education: Ph.D. in Economics from Stanford University (2000), M.S. in Statistics from University of Illinois at Urbana-Champaign (1997) His work focuses on developing statistical methods for high-dimensional data, including central limit theorems , post-selection inference , and quantile regression . He has contributed to partial identification , Bayesian inference , and extreme value analysis , with applications to economic policy evaluation. Recent publications emphasize high-dimensional causal inference , adaptive confidence bands , and set estimation . His research has been supported by the National Science Foundation and recognized with the Alfred P. Sloan Research Fellowship . Scientific Awards: Alfred P. Sloan Research Fellowship (2005-2007) Castle-Krob Career Development Chair (2004-2007) Grants include long-term support from the National Science Foundation since 2001 and software development collaborations for Stata and MATLAB implementations.

Nicolas Doyonمشاهده پروفایل

استاد

• Computational Neuroscience
• Mathematical Modeling
• Poisson Nernst Planck Equations
• +۵ مورد دیگر

Nicolas Doyon is a Professor at the Department of Mathematics and Statistics , Université Laval, Canada. His research bridges mathematical modeling and neuroscience , focusing on ion transport, neural networks, and neurodegenerative diseases. He collaborates with experimentalists and companies like Doric Lenses . Education: B.Sc., Université Laval M.Sc., University of Montreal Ph.D., Theoretical Mathematics Postdoctoral Fellowship, Quebec City Institute of Mental Health Research Interests: Dr. Doyon investigates chloride homeostasis via the KCC2 cotransporter , its role in synaptic inhibition, and implications for diseases like epilepsy and autism. He develops finite element models for Poisson-Nernst-Planck equations to study electrodiffusion in complex neural geometries. Scientific Awards: Star Teacher (2016, Faculty of Science and Engineering) NSERC Individual Grant (35K$/year, 2014-2019) FQRNT Establishment Grant (20K$/year, 2013-2015) Students: Supervises Ph.D. and Master's students including Tahmineh Azizi (dynamical systems), Frank Boahen (dendritic spines), and Vincent Ouellet (analytic number theory).

Sarah D. Asebedoمشاهده پروفایل

دانشیار

• Financial Planning
• Positive Psychology
• Financial Self-Efficacy
• +۳ مورد دیگر

Sarah D. Asebedo, Ph.D., CFP® is an Associate Professor and School Director of the School of Financial Planning at Texas Tech University. She bridges academic research and professional practice through evidence-based methods to advance financial planning and enhance client-advisor relationships. Her educational background includes: Ph.D. in Personal Financial Planning from Kansas State University Dr. Asebedo's research integrates psychological frameworks with financial decision-making. Core focus areas include: Application of positive psychology interventions in financial contexts Financial self-efficacy across life stages Psychosocial determinants of financial behavior Client-advisor interaction dynamics She employs advanced quantitative methodologies including structural equation modeling and mediation analysis to investigate these phenomena. Her publication trajectory (2014-2022) reveals consistent exploration of psychological mechanisms in financial processes, with increasing emphasis on crisis response (e.g., COVID-19 economic impacts) and theoretical integration. Work appears in leading journals including Journal of Financial Planning and Journal of Positive Psychology, demonstrating interdisciplinary reach across finance, psychology, and gerontology. Research recognition includes: Three FPA/JFP Best Research Awards (2014, 2017, 2018) Montgomery-Warschauer Award (2016) AARP Public Policy Institute Award (2017) Investment News Top 40 Under 40 (2017) Hermann Outstanding Dissertation Award (2017) As School Director, Dr. Asebedo mentors emerging financial planners and shapes curriculum development. Her leadership extends to professional organizations including the Financial Therapy Association where she served as past-president. Current research initiatives focus on translating psychological insights into practical financial planning frameworks.