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Guus KroonenView profile

Professor

• Historical linguistics
• Comparative linguistics
• Indo-European linguistics
• +4 more

Guus Kroonen serves as Professor MSO at the Department of Nordic Studies and Linguistics within the Faculty of Humanities at the University of Copenhagen. He leads the Roots of Europe research group and maintains an active international research profile that bridges linguistics, archaeology, and genetics to investigate European language prehistory. His educational background includes a MA in Comparative Indo-European Linguistics (cum laude) from Leiden University (1998-2003), a MA in Nordic Languages and Literature from the University of Amsterdam (1997-2003), PhD studies in Indo-European linguistics at Leiden University Center for Linguistics (2004-2008), and a research stay at the Max Planck Institute for Evolutionary Anthropology in Leipzig (2013-2014). Professor Kroonen specializes in historical and comparative linguistics with particular expertise in Indo-European and Nordic linguistics, archaeolinguistics, and etymology. His research uniquely integrates linguistic reconstruction with archaeological evidence and ancient DNA analysis to investigate language spread and cultural transitions in prehistoric Europe. He has pioneered methodological approaches that challenge traditional narratives about European prehistory by demonstrating how linguistic evidence can be systematically combined with genetic and archaeological data. His recent publication record shows a strong trend toward interdisciplinary research that combines linguistic analysis with genetic data, particularly focusing on the spread of Germanic, Celtic, and other Indo-European language branches across Europe. His work increasingly employs ancient DNA evidence to test linguistic hypotheses about language spread and population movements during the Neolithic and Bronze Age periods. Sapere Aude - Ung Eliteforsker (2012) ERC Starting Grant (2016) Foundation for language and culture award (2024) Annual Book Award (Scholarly) of the Society for American Archaeology (2024) Professor Kroonen has secured substantial research funding through prestigious grants including the ERC Starting Grant project 'The Linguistic Roots of Europe's Agricultural Transition' (2017-2023) and the Riksbank's Jubilee Fund project 'Maritima möteten' (2021-2026). His work has generated significant public interest, with numerous media appearances explaining complex interdisciplinary research to general audiences, particularly regarding the connections between ancient DNA evidence and language spread. He leads the Roots of Europe research group at the University of Copenhagen, which brings together linguists, archaeologists, and geneticists to develop innovative methodologies for studying language prehistory. The group has established groundbreaking approaches that combine traditional linguistic reconstruction with ancient DNA analysis, creating new pathways for understanding human prehistory through multiple lines of evidence.

Daniel DenmanView profile

Assistant Professor

• Neuroscience
• Visual Perception
• Neural Circuits
• +4 more

Daniel Denman serves as Assistant Professor in the Department of Physiology and Biophysics at the University of Colorado School of Medicine, where he directs research on neural population dynamics underlying sensory perception. His work bridges experimental neuroscience and engineering to investigate how distributed brain circuits generate visual experiences across multiple timescales. Dr. Denman's research program focuses on visual perception mechanisms, employing quantitative psychophysics, in vivo electrophysiology, circuit tracing, and computational modeling. His lab particularly examines primary visual cortex microcircuits and their interactions with connected cortical/subcortical areas to determine how neural activity transforms into conscious perception, spanning temporal domains from microseconds to behavioral epochs. Analysis of his 2014-2018 publications reveals consistent investigation of mouse visual system organization, including chromatic pathway mapping in the dorsal lateral geniculate nucleus, cortical feedback effects, and functional architecture in primary visual cortex. The research frequently utilizes high-density neural recording technologies, exemplified by his co-first authorship on Nature-published silicon probe development. No scientific awards were documented in the provided materials. Information regarding student mentorship or research grant funding was not specified in the source texts. The Denman Lab at CU Anschutz develops and applies advanced neuroscience techniques including circuit-guided electrophysiology, optogenetic manipulations, and systems engineering approaches to test causal hypotheses about neural dynamics. Their current work emphasizes understanding which neural activity features actually contribute to perceptual experiences through targeted circuit interventions.

• Machine Learning Theory
• Game Theory
• Information Theory
• +5 more

Prof. Wouter M. Koolen serves as Professor of Mathematical Machine Learning in the Statistics group at the University of Twente and as Senior Researcher in the Machine Learning group at Centrum Wiskunde & Informatica (CWI). He maintains active research affiliations with INRIA-CWI associate teams 6PAC (with Inria Lille) and 4TUNE (with Inria Paris and Grenoble), and holds the distinction of ELLIS Scholar. Dr. Koolen earned both his MSc and PhD cum laude from the Institute of Logic, Language and Computation at the University of Amsterdam, completing his doctoral work titled 'Combining Strategies Efficiently: High-quality Decisions from Conflicting Advice' in January 2011. His academic journey includes being designated a Master of Logic. Prof. Koolen's research spans theoretical machine learning with deep connections to game theory, information theory, statistics, and optimization. His current work focuses on pure exploration in multi-armed bandit models, game tree search algorithms, and provably accelerated learning methods in statistical and individual-sequence settings, which he characterizes as 'learning faster from easy data.' His theoretical contributions consistently demonstrate practical relevance in sequential decision making and statistical inference. Analysis of his recent publications reveals three dominant research threads: martingale-based methods for anytime-valid statistical inference using e-values, adaptive optimization algorithms with provable guarantees, and theoretical foundations of multi-armed bandit problems. His work increasingly bridges theoretical computer science with modern statistical methodology, particularly in sequential analysis and adaptive experimentation. His notable achievements include: NWO VENI grant for innovative research QUT Vice-Chancellor's postdoctoral research fellowship Designation as ELLIS Scholar recognizing European research excellence cum laude distinctions for both master's and doctoral degrees Prof. Koolen actively mentors the next generation of researchers, having supervised multiple PhD students to completion including Hongwei Wen, Clément Lezane, and Tyron Lardy with defenses scheduled for 2025. His research program is supported by competitive grants focusing on theoretical machine learning and statistical methodology. He maintains an active presence in the international research community through conference presentations, workshop organization, and collaborations across European institutions. Within the Machine Learning group at CWI and Statistics group at the University of Twente, Prof. Koolen contributes to a dynamic research environment focused on theoretical foundations with practical applications. His work often intersects with colleagues investigating sequential decision processes, game-theoretic approaches to learning, and robust statistical inference methods.

• Ribosome structure
• Protein synthesis
• Translation mechanisms
• +4 more

Dr. Andrei A Korostelev is a Professor at UMass Chan Medical School, with primary appointments in the RNA Therapeutics Institute and the Department of Biochemistry and Molecular Biotechnology at the T.H. Chan School of Medicine. He also holds positions in multiple graduate programs at the Morningside Graduate School of Biomedical Sciences, including Biochemistry and Molecular Biotechnology, Biophysical Chemical and Computational Biology, Interdisciplinary Graduate Program, MD/PhD Program, and RNA Therapeutics and Biology Program. Dr. Korostelev received his BS and MS in Chemistry from Moscow State University, followed by a PhD in Chemistry & Biochemistry from Florida State University. His educational background provided the foundation for his current research in structural biology and molecular mechanisms of protein synthesis. Dr. Korostelev's research focuses on the structure and function of the ribosome, the cellular machine responsible for decoding genetic information and synthesizing proteins. His laboratory employs X-ray crystallography and cryo-electron microscopy to obtain high-resolution snapshots of different functional states of the ribosome during translation. Through biochemical approaches, his team tests hypotheses concerning the mechanisms and dynamics of the ribosome and translation factors. This research not only expands fundamental knowledge of this essential molecular machine but also aids in developing new drugs that target ribosomes, with potential applications in treating bacterial infections and other diseases. Dr. Korostelev's scientific contributions have been recognized with several prestigious awards, including the Soros Academic Fellowship from Moscow State University (1994-1995), the I.V. Berezin Young Scientist Award from Moscow State University (1996-1997), the RNA Society/Scaringe Young Scientist Award (runner-up, 2010), the Earl and Thressa Stadtman Scholar Award from ASBMB (2018), and the Early Career Award from the RNA Society (2018). As an active researcher and mentor, Dr. Korostelev supervises graduate students through rotation projects that apply X-ray crystallography and biochemical methods to understand ribosome mechanisms. His laboratory offers opportunities to investigate translation via mutagenesis/biochemical assays, crystallize and determine structures of translation factors and ribosome complexes, and improve computational methods for macromolecular structure determination. His extensive publication record demonstrates significant contributions to understanding translation termination, ribosome rescue mechanisms, frameshifting, and the structural dynamics of protein synthesis. Dr. Korostelev leads an active research laboratory focused on ribosome structure and function. His team combines structural biology techniques with biochemical approaches to investigate the molecular mechanisms of translation. Through collaborations with other researchers at UMass Chan Medical School and beyond, his laboratory continues to make significant contributions to our understanding of this fundamental biological process and its implications for human health and disease.

Ruodu WangView profile

Professor

• Quantitative Risk Management
• Statistics
• Probability
• +8 more

Ruodu Wang is a Professor and Canada Research Chair (Tier 1) in Quantitative Risk Management at the Department of Statistics and Actuarial Science, University of Waterloo. His academic career at Waterloo has progressed from Assistant Professor (2012-2017) to Associate Professor (2017-2022) to his current Professor position (2022-present). He also holds affiliations as an affiliated member of RiskLab at ETH Zurich and serves as Co-Editor of ASTIN Bulletin and European Actuarial Journal, and Associate Editor for several top journals including Operations Research and Finance and Stochastics. Wang's research spans multiple disciplines with a focus on quantitative risk management. His primary interests include risk measures, e-values and statistical inference, optimal transport, dependence modeling, and risk sharing. His work bridges theoretical developments with practical applications in actuarial science, financial engineering, and operations research. A significant portion of his recent work centers on e-values as alternatives to p-values in hypothesis testing, with applications in multiple testing and meta-analysis. His publication record shows remarkable productivity with 21 papers accepted in 2024 across top journals including Management Science, Operations Research, Annals of Statistics, and Biometrika. His research has been supported by prestigious grants including the Canada Research Chairs program (CRC-2022-00141) and NSERC (RGPIN-2024-03728). Wang's contributions to the field have been recognized through his election as a Fellow of the Institute of Mathematical Statistics (2022) and the SOA Actuarial Science Early Career Award (2021). Wang has successfully mentored several PhD students, with two recent advisees (Liyuan Lin in 2025 and Qiuqi Wang in 2024) winning the prestigious Pierre Robillard Award for the best PhD thesis in probability or statistics at Canadian universities. His editorial work spans multiple high-impact journals, reflecting his standing in both statistical and actuarial communities.

Guillermo DurandView profile

Associate Professor

• Multiple Testing
• False Discovery Rate (FDR) Control
• Conformal Prediction
• +5 more

Guillermo Durand is an Associate Professor at Université Paris-Saclay, based at the Laboratoire de Mathématiques d'Orsay. His research focuses on multiple testing methodologies, particularly in controlling false discovery rates (FDR) and their applications to biological data. He also explores conformal prediction and broader areas of mathematical statistics. Education: PhD in Applied Mathematics from Sorbonne University (2015-2018), Master 2 in Mathematics for Life Sciences from Université Paris-Sud, and a diploma from École Polytechnique (X). Professional experience includes a data scientist role at Intelligent Locations (2018-2021) and research internships at Sanofi and the University of Montreal. Key contributions include the R packages sansSouci and DiscreteFDR , which address multiple testing challenges. He frequently presents on topics like FDR control and post hoc inference at academic seminars and conferences. Teaching materials are detailed in his CV (in French), covering mathematical statistics and measure theory. His work bridges theoretical statistics with practical applications in genomics and healthcare logistics.

Chan Hock PengView profile

Professor

• Sequential analysis
• Change-point detection
• Monte Carlo methods
• +2 more

Chan Hock Peng is a Professor at the National University of Singapore (NUS), affiliated with the Institute of Operations Research and Analytics (IORA), part of NUS’s Smart Nation Research Cluster. His academic role focuses on advancing statistical methodologies and their applications in complex systems. His research interests include: Sequential analysis and change-point detection Monte Carlo methods and particle filtering Multi-armed bandit problems and decision optimization Notable contributions span theoretical advancements in sequential detection, bandit algorithms, and computational statistics. His work addresses challenges in detecting changes in multi-stream data, optimizing decision-making under uncertainty, and developing efficient methods for sparse signal analysis. Scientific Awards: No awards explicitly mentioned in the provided information. Advising and Grants: Details on his advising of students or involvement in grants are not available in the current data. Labs/Teams: Affiliated with IORA, contributing to research in operations research and analytics.

Ruobin GongView profile

Associate Professor

• Bayesian Methods
• Imprecise Probability
• Differential Privacy
• +3 more

Ruobin Gong is an Associate Professor of Statistics at Rutgers University, with a status-only appointment at the University of Toronto's Department of Statistical Sciences. She holds a PhD from Harvard University and focuses on foundational statistical theory and privacy-aware methodologies. Her research integrates Bayesian and imprecise probability frameworks with differential privacy challenges, emphasizing ethical data science practices. Gong's work includes developing the dapper R package for private posterior estimation and organizing events like the Annual Symposium on Applications of Contextual Integrity and NBER workshops on privacy in applied research. Her research interests span theoretical foundations of uncertainty reasoning (including Bayesian methodology, random sets, and Dempster-Shafer theory) and practical applications in privacy-preserving statistical inference. She serves as an associate editor for Harvard Data Science Review, JASA/TAS Reviews, and Statistics and Public Policy, while also contributing a monthly column, 'Sound the Gong,' to the IMS Bulletin. Gong's recent work addresses challenges in privacy-aware computation, invariant-constrained data sanitization, and the philosophical implications of credence dynamics. Her contributions include pioneering subspace differential privacy frameworks and formal privacy analyses of historical data swapping methods. Gong actively engages in interdisciplinary collaborations, bridging statistical theory with real-world policy applications through workshops and publications on topics like algorithmic fairness and disclosure avoidance systems.

• Psychometrics
• Cognitive Psychology
• Developmental Disorders
• +5 more

Sara Giovagnoli is an Associate Professor at the University of Bologna's Department of Psychology 'Renzo Canestrari', specializing in psychometrics and cognitive psychology. Her research focuses on developmental disorders, sleep science, and educational technology. Key areas include emotion regulation in learning disabilities, motor sleep inertia mechanisms, and cognitive assessment tools like Bayesian networks for intelligence testing. Her work integrates behavioral neuroscience with digital innovation, exemplified by projects such as the PsycAssist AI system for neuropsychological assessment and the Eye-Riders game for neurodiverse children. She explores the intersection of chronobiology and mental health, analyzing circadian rhythms in adolescents and neurodegenerative patients through actigraphy. Recent studies address repetitive negative thinking in university students and the role of social support in adolescent internet use. Methodologically, she advances statistical frameworks like Bayesian informative hypotheses and comparative dimensionality reduction techniques. Her contributions span clinical applications (e.g., Multiple Sclerosis motor activity analysis) to educational interventions targeting early literacy and executive function enhancement through adaptive technologies. Collaborations emphasize cross-disciplinary approaches, linking neurophysiological metrics to psychosocial outcomes in diverse populations including teachers, parents of preterm infants, and young carers. Her research bridges theoretical cognitive science with practical tool development for clinical and educational settings.

Zhigen ZhaoView profile

Associate Professor

• Bayesian/empirical Bayesian statistics
• High-dimensional data analysis
• Multiple comparison
• +5 more

Zhigen Zhao is an Associate Professor and Beury Research Fellow at the Fox School of Business and Management, Temple University, within the Department of Statistics, Operations, and Data Science. He holds a Ph.D. from Cornell University (2009) and specializes in Bayesian/empirical Bayesian statistics, high-dimensional data analysis, and bioinformatics. His research is supported by the National Science Foundation. Dr. Zhao’s research focuses on developing statistical methodologies for high-dimensional problems, including selective inference, multiple comparisons, and sufficient dimension reduction. His work bridges theoretical advancements with practical applications in healthcare, genomics, and predictive analytics. Key contributions include Bayesian hierarchical models for electronic health records and novel techniques for controlling false discovery rates in genomic studies. He teaches courses such as Intermediate Statistics, Regression and Predictive Analytics, and Statistical Methods for Business Research at both undergraduate and graduate levels. His recent publications appear in top-tier journals like the Journal of the American Statistical Association and Journal of the Royal Statistical Society, Series B. Dr. Zhao’s grants include NSF funding for high-dimensional statistical research. He advises on methodological challenges in data science and collaborates on projects involving healthcare analytics, genomics, and machine learning applications.

Thomas Chrowder ChamberlinView profile

Professor

• Geology
• Glaciology
• Planetary Science
• +3 more

Thomas Chrowder Chamberlin (1843–1928) was an American geologist and educator. He served as a professor of geology at the University of Wisconsin (1873–1887) and later organized the geology department at the University of Chicago (1892–1918). He was president of the University of Wisconsin (1887–1892) and the Chicago Academy of Sciences (1898–1914). His research spanned glaciology, planetary formation, and scientific methodology. He authored foundational works on glacial stages, the planetesimal hypothesis with Forest Ray Moulton, and pioneered the 'method of multiple working hypotheses.' Education: B.A. in Classical Studies from Beloit College (1866) Graduate studies in geology at the University of Michigan (1868–1869) Research Interests: Chamberlin advanced understanding of Pleistocene glaciation, atmospheric carbon dioxide's role in climate, and the origins of the solar system. His methodologies emphasized rigorous hypothesis testing, influencing modern scientific practice. His work on glacial mapping in Wisconsin remains influential in geological surveying. Awards: Hayden Memorial Geological Award (1920) Penrose Gold Medal (1924) Penrose Medal (1927) Legacy: He founded the Journal of Geology (1893) and shaped academic geology through his interdisciplinary approach. His papers are archived at the University of Chicago and Beloit College. Buildings and geological landmarks bear his name, including Mount Chamberlin in California.

Lukáš BielikView profile

Associate Professor

• Philosophy of Science
• Logic
• Confirmation Theory
• +5 more

Assoc. Prof. Lukáš Bielik, PhD. is an Associate Professor and Head of the Department of Logic and Methodology of Sciences at the Faculty of Arts, Comenius University in Bratislava. His academic career spans over 15 years, including prior roles as Assistant Professor (2009-2020) and researcher at the Institute of Philosophy of the Slovak Academy of Sciences (2012-2017). Education: Master's in Philosophy-History (2006), Doctoral in Systematic Philosophy (2009), and Associate Professor title (2020) all from Comenius University. Research Interests focus on philosophy of science , methodology , argumentation theory , and semantic models . He has led the VEGA project "Idealization and Abstraction in Normative and Empirical Sciences" (2023-2025) and co-investigated APVV's "Semantics of Conditionals" (2022-2026). His work bridges formal logic with epistemological questions in scientific reasoning. Publications include over 51 works, with 28 indexed in WoS/Scopus. Recent contributions analyze defeasible reasoning, semantic conditionals, and abduction's role in scientific discovery. Awards & Grants: VEGA Grant (2023-2025), project leader APVV Grant (2022-2026), co-investigator Multiple prior VEGA/APVV grants (2007-2022) Academic Service includes being an Executive Editor of Organon F (2012-2017), reviewer for journals like Erkenntnis and Organon F , and grant evaluator for VEGA and KEGA. He also organized the East European Network for Philosophy of Science (2015-2020).

David M BussView profile

Professor

• Evolutionary Psychology
• Human Mating Strategies
• Sexual Conflict
• +4 more

David M. Buss is a Professor in the Department of Psychology at the University of Texas at Austin, within the College of Liberal Arts. He holds a Ph.D. from the University of California, Berkeley (1981). Buss’s research focuses on evolutionary psychology, particularly human mating strategies, sexual conflict, and the evolutionary roots of jealousy, homicide, and status-seeking behaviors. His work integrates cross-cultural studies and experimental methodologies to explore how evolutionary principles shape human behavior. Education : Ph.D. in Psychology, University of California, Berkeley, 1981 Prior roles include Assistant Professorships at Harvard University (1981–1985) and the University of Michigan (1985–1996). Research Interests : Evolutionary foundations of mating strategies, including sexual conflict and jealousy. Sexual violence, homicide, and anti-homicide defenses. Evolution of status, reputation, and social prestige. Psychological mechanisms behind incel behavior and societal perceptions of involuntary celibacy. Development of psychometric tools like the Rape Excusing Attitudes and Language Scale. Recent Articles Trends : Focus on testing evolutionary hypotheses, exploring incel psychology, and validating cross-cultural patterns in mating preferences and emotional responses. His work often emphasizes the universality of evolved mechanisms while acknowledging cultural variation. Awards : 2016: Mentor Award for Lifetime Achievement from the Association for Psychological Science. Recipient of multiple accolades for his books, including the 7th edition of Evolutionary Psychology: The New Science of the Mind (2024). Awards for his students, including the APA Division 51 Student of the Year (William Costello) and Janet T. Spence Teaching Award (Rebecka Hahnel-Peeters). Advising & Labs : Directs the Buss Lab at UT Austin, mentoring over 50 students. Key projects include studies on incel behavior, mate preference integration, and the evolution of sexual morality. Collaborations span global networks, with co-authors from over 25 countries. Labs/Teams : The Buss Lab is a hub for evolutionary psychology research, addressing topics like sexual conflict, status signaling, and the intersection of evolutionary principles with modern societal challenges.

Scott JulianView profile

Professor

• Strategic Management
• Organizational Behavior
• Diversity in Organizations
• +3 more

Scott Julian is a full-time Professor of Management at Wayne State University's Mike Ilitch School of Business, actively teaching Strategic Management and Social Perspectives on the Business Enterprise courses through 2025. His academic career spans three decades with significant contributions to strategic management and organizational behavior literature, publishing in premier journals like Strategic Management Journal and Harvard Business Review. Education: Ph.D. in Business Administration (Management) from Louisiana State University (1994) B.S.B.A. from University of Central Florida (1986) Professor Julian investigates workplace interpersonal dynamics with specific focus on aggression and bullying, international conflict resolution, and diversity management. His methodological expertise in statistics and program evaluation supports research on strategic issue diagnosis, corporate social responsibility, and Sub-Saharan Africa contexts. He examines how uncertainty, threat, and opportunity shape organizational responses while analyzing diversity's paradoxical short/long-term effects in top workplaces. Analysis of his recent publications reveals enduring emphasis on strategic management frameworks, particularly strategic issue diagnosis processes and diversity-performance relationships. His work increasingly incorporates Sub-Saharan African contexts to test institutional difference hypotheses regarding CSR and firm performance, while maintaining strong connections to organizational behavior fundamentals like workplace relations and conflict resolution. Advising: Professor Julian has mentored multiple doctoral students including Karaca, Greiner, Yestrepsky, Jia, and Gao who co-authored publications with him in Strategic Management Journal and presented at Academy of Management conferences. His advising focuses on developing research capabilities in strategic management and organizational behavior through collaborative publication projects.

Sahn-Wook HuhView profile

Associate Professor

• Asset Pricing
• Market Microstructure
• Empirical Corporate Finance
• +4 more

Sahn-Wook Huh is an Associate Professor of Finance at the School of Management, University at Buffalo (SUNY). He holds a PhD from UCLA Anderson School of Management, an MBA from the University of Chicago, and a BA from Seoul National University. His research focuses on asset pricing, market microstructure, empirical corporate finance, behavioral finance, and foreign exchange economics. He has published in top journals like the Review of Financial Studies and Management Science. Dr. Huh’s work explores informed trading dynamics, liquidity spillovers, and ESG reputational risks. His 2024 article on ESG and debt risk premia uses US corporate bond data, while his 2023 study examines brand innovation impacts on trading activities. Earlier research includes analyzing patent announcements’ effects on informed trading (2022) and liquidity metrics like the Amihud illiquidity premium (2013). He has received prestigious grants, including the Early Researcher Award ($190k) and SSHRC grants, and held the Fulbright Canada Distinguished Research Chair (2021-22). Awards include the Milton Plesur Excellence in Teaching Award and multiple best paper prizes at FMA conferences. His professional roles include serving as KAFA President (2018-19) and committee memberships in major finance associations. Before academia, he worked in investment banking and the Korean Ministry of Finance. His research has been featured in the Harvard Law School Forum on Corporate Governance and has influenced policy and academic discourse globally.