Dr. Mary E. Power is a Professor of the Graduate School at the University of California, Berkeley. She specializes in river ecology, focusing on algal-based food webs and their interactions with hydroclimatic regimes. Her research integrates field experiments and long-term monitoring in the South Fork Eel River, examining how flow variations and environmental conditions drive ecosystem state transitions. Primary Research Site: Angelo Coast Range Reserve (Mendocino Co., CA) Key Methodologies: In situ incubations, stable isotope probing, nanoSIMS analysis Current Focus: 2024- study of three alternative algal food web states during summer low flows Her work reveals critical thresholds where reduced summer flows and warming pools shift nutritious algal ecosystems toward toxic cyanobacterial dominance, impacting salmon and cross-ecosystem linkages. Selected Research Trends: Hydrological control of food web structure Cyanotoxin dynamics in river networks Climate change impacts on freshwater ecosystems Long-term ecological reconstructions via sediment cores Top-down and bottom-up regulation of river communities Her lab employs cutting-edge techniques to analyze microbiome elemental exchanges and successional patterns in Cladophora glomerata, a dominant green macroalga in the Eel River system.
Milivoj Alanović is a Professor in the Department of Serbian Language and Linguistics at the Faculty of Philosophy, University of Novi Sad. With a Doctorate in Philological Sciences (2010), his career spans syntax, discourse analysis, and contrastive linguistics with a focus on Serbian language structures. Education: Graduated (2000), Master's (2004), Doctorate (2010) from the Faculty of Philosophy, University of Novi Sad Research centers on the interface of lexis and grammar, semantic resources of syntactic units, and connections between language, thought, and context. His work extends to cognitive and constructional grammar, with a strong emphasis on Serbian language analysis. Publications include 8 monographs (e.g., German-Serbian Contrastive Grammar series) and over 90 works, reflecting collaborations across Serbia, Republika Srpska, Austria, Germany, Croatia, Romania, Russia, and Japan. As a mentor, he has guided diploma, master's, and doctoral theses, including supervision of one doctoral thesis. His scholarly output demonstrates sustained contributions to syntax and contrastive grammar research.
Gordon Bigelow is Professor of English at Rhodes College, specializing in nineteenth-century British and Irish literature with a focus on cultural studies. He joined the Department of English in 1998 after completing his Ph.D. at the University of California, Santa Cruz. Education Ph.D., Literature, University of California, Santa Cruz (1998) M.A., English, University of New Hampshire (1991) A.B., Comparative Literature, Brown University (1985) His research explores intersections between literature and economic thought, particularly in Victorian Britain and Ireland. He is currently working on a book analyzing Anthony Trollope’s Irish fiction and its role in the development of the modern novel. Recent publications include chapters on Trollope’s Irish novels, Victorian print culture, and economic themes in Dickens’s Bleak House . He has also contributed comparative analyses of Victorian science, neoliberalism, and transatlantic literary connections. Bigelow co-edited Approaches to Teaching Dickens’s Bleak House , offering pedagogical strategies for navigating the novel’s complex themes and structure.
Professor Francois Ladouceur is a distinguished academic at the University of New South Wales (UNSW), where he serves in the Faculty of Engineering, specifically within the School of Electrical Engineering and Telecommunications. With a career spanning over three decades, Professor Ladouceur has established himself as a leading expert in photonics, optical engineering, and neural interfaces. His educational background includes: Ph.D. in Optical Communication from The Australian National University (1992) Masters in Solid State Physics from École Polytechnique, Montréal, Canada (1987) B. Eng. in Engineering Physics from École Polytechnique, Montréal, Canada (1985) Professor Ladouceur's research spans several cutting-edge areas in photonics and optical engineering. His work focuses on integrated optics, silica and diamond-based photonics, optical sensing networks, and photonics-based brain/machine interfaces. He has made significant contributions to both fundamental waveguide theory and applied integrated optics, introducing innovative approaches to waveguide path design that have improved the size and ease of design of integrated optics devices. His recent work has particularly emphasized the development of liquid crystal-based optical electrodes for neural interfacing and brain/machine interfaces. Analysis of his recent publications reveals a strong trend toward biomedical applications of photonics, particularly in neural interfaces and optrode technology. His research has evolved from fundamental optical engineering to practical applications in healthcare, with a focus on developing novel optical sensing technologies for electrophysiological measurements. The interdisciplinary nature of his work combines optical engineering, materials science, and biomedical engineering to create innovative solutions for neural interfacing. Professor Ladouceur has secured significant research funding through multiple prestigious grants: ARC Discovery (DP200102825): "A Multi-Optrode Array for Closed-Loop Bionics" ($495k) NHMRC Ideas Grant (APP2002282): "Re-engineering the Future of Electrophysiological Measurements" ($732k) ARC Discovery 2016 (DP160104625): "Design of an optrode for next generation brain-machine interfaces" ($457.6k) CRC Project 2016: "High performance optical telemetry system for ocean monitoring" ($1,014,320) US Office of Naval Research: "Multi-Optrode Array for Neural Interfacing" (US$360,000) Professor Ladouceur has extensive experience in translating research into practical applications, having founded Bandwidth Foundry Pty Ltd after raising approximately $20 million from private and public sources. His work bridges the gap between academic research and commercial applications, with a particular focus on developing novel hybrid opto-electronics devices from initial design through to commercial realization. He collaborates extensively with researchers across disciplines, particularly with Professor Nigel Lovell and other colleagues in biomedical engineering. His laboratory focuses on developing optical technologies for neural interfaces, with current projects including multi-optrode arrays for brain-machine interfaces, optical telemetry systems for various sensing applications, and diamond-based photonic structures. The research group maintains strong connections with industry partners and defense organizations, applying photonics solutions to real-world problems in healthcare, mining safety, and ocean monitoring.
Wouter Bos is a Research Director at CNRS working at the Laboratory of Fluid Mechanics and Acoustics (LMFA) at École Centrale de Lyon, France. He leads research within the Turbulence & Instabilities team, focusing on fundamental aspects of fluid dynamics with applications spanning from plasma physics to epidemiology. His academic journey reflects a deep engagement with theoretical and computational fluid mechanics, particularly in turbulence phenomena. Dr. Bos's research interests center on fluid dynamics, with particular emphasis on turbulence in various contexts including two-dimensional flows, magnetohydrodynamics, plasma physics, and statistical mechanics of fluids. His work explores fundamental questions about energy transfer, coherent structures, and statistical properties of turbulent flows. He has made significant contributions to understanding turbulence without vortex stretching, two-dimensional turbulence, and the application of fluid dynamics principles to epidemiological modeling. Analysis of his recent publications reveals a strong focus on theoretical and computational approaches to turbulence. His work spans from fundamental questions about equilibrium states in two-dimensional turbulence to practical applications in plasma confinement and epidemic modeling. The publications demonstrate consistent innovation in turbulence theory, with particular attention to statistical mechanics approaches, spectral analysis, and the development of reduced-order models for complex fluid phenomena. His research shows growing interdisciplinary connections, especially between fluid dynamics and epidemiology as evidenced by his work on modeling the spread of infectious diseases. Dr. Bos actively supervises doctoral students and postdoctoral researchers, with recent students including Tong Wu, Ryo Araki, Smiron Varghese, Wesley Agoua, and Bruce (Xi Yuan) Yin. He participates in collaborative research projects such as the ANR CM2E project (2021-2025) on Characteristic Mapping Method for the Euler Equations, working with researchers from Aix-Marseille University and McGill University. His laboratory work involves both theoretical analysis and computational simulations, with applications ranging from fundamental fluid mechanics to practical problems in energy research (particularly related to ITER and fusion plasma physics) and public health. The interdisciplinary nature of his research demonstrates the broad applicability of fluid dynamics principles across seemingly disparate scientific domains.
Jack Baker is the William Alden Campbell and Martha Campbell Professor of Engineering and Associate Dean for Faculty Affairs in the Stanford Doerr School of Sustainability at Stanford University. He is a Professor of Civil & Environmental Engineering with expertise in probabilistic and statistical tools for quantifying and managing disaster risk and resilience. His work has significantly influenced building codes, performance-based engineering guidelines, and catastrophe risk models. Dr. Baker's educational background includes: Ph.D. in Civil & Environmental Engineering from Stanford University (2005) M.A. in Statistics from Stanford University (2004) M.S. in Civil & Environmental Engineering from Stanford University (2002) B.A. in Mathematics/Physics from Whitman College (2000) His research focuses on disaster risk and resilience, particularly in earthquake engineering and seismic hazard analysis. Baker uses probabilistic and statistical approaches to analyze risk in spatially distributed systems, characterize earthquake ground motions, and simulate post-disaster recovery processes. His work bridges theoretical frameworks with practical applications in building codes and risk management strategies. He has made significant contributions to understanding the relationship between ground motion characteristics and structural response, while also expanding into climate-related hazards like atmospheric rivers and their compound effects. His recent publications demonstrate a growing focus on interdisciplinary research that connects engineering with socioeconomic factors in disaster contexts. There's a clear trend toward integrating machine learning techniques with traditional engineering approaches, particularly in modeling household displacement, economic recovery, and flood damage prediction. His work increasingly addresses the human dimension of disasters, examining how physical damage translates to social impacts and recovery timelines. Dr. Baker has received numerous prestigious awards recognizing his contributions to the field: William B. Joyner Lecture Award from the Seismological Society of America and Earthquake Engineering Research Institute (2023) PROSE Awards finalist for Seismic Hazard and Risk Analysis textbook (2022) Thorpe Medal from the European Council on Computing in Construction (2022) Walter L. Huber Civil Engineering Research Prize from the American Society of Civil Engineers (2018) CAREER Award from the National Science Foundation (2010) As an educator and mentor, Baker advises numerous doctoral and master's students while serving as Associate Dean for Faculty Affairs. His research group has secured significant funding for projects related to seismic risk, disaster recovery modeling, and infrastructure resilience. He has directed major initiatives like the Stanford Urban Resilience Initiative and co-founded the Haselton Baker Risk Group, demonstrating strong leadership in translating research into practical applications. Dr. Baker leads the Baker Research Group, which focuses on probabilistic approaches to disaster risk assessment and management. The group maintains active collaborations with government agencies, industry partners, and international research institutions to advance the state of knowledge in earthquake engineering and broader disaster resilience fields. Their work often involves developing innovative computational tools and frameworks that are made publicly available through GitHub repositories.
Dr. Marc Schmitt serves as a Research Associate in the Department of Computer Science at the University of Oxford while concurrently leading as Managing Director of the DEIM Research Institute in Germany. His interdisciplinary work bridges academic research and industry applications across artificial intelligence, cybersecurity, and financial systems. Academic Background: PhD in Computer and Information Sciences (AI in Finance), University of Strathclyde MSc in Quantitative Finance, University of Strathclyde MSc in Software Engineering, University of Oxford BA in Business Administration, Technische Hochschule Nürnberg Georg Simon Ohm Dr. Schmitt's research focuses on AI-driven decision-making at the intersection of finance, business analytics, and cybersecurity. His work examines how intelligent systems integrate into organizational structures while addressing systemic risks in digital ecosystems. Recent investigations include generative AI threats in social engineering, no-code AutoML applications, and policy frameworks for AI-enhanced security systems. His publications demonstrate consistent methodological innovation across theoretical and applied domains. Analysis of his publication trajectory reveals growing emphasis on generative AI security implications (2024-2025), with foundational work in business analytics applications (2023). The research shows strong interdisciplinary connections between computer science, financial economics, and human-centered design principles, reflecting his unique background spanning technical and business domains. Prior to academia, Dr. Schmitt held strategic positions including Senior IT Partner for Equity Finance at Siemens Financial Services and management consulting roles at d-fine and Deloitte, where he advised Fortune 500 companies on digital transformation and risk management. His industry experience directly informs his research approach, emphasizing practical implementation challenges alongside theoretical innovation.
Prof. Dr. Elisabeth Timm holds the Chair of Cultural Anthropology at the Institute for Cultural Anthropology and European Ethnology , University of Münster. With a career spanning decades, her work bridges academic research with public engagement through projects like "Erzählen Deine Gene Dir Deine Geschichte?!" , which won the 2024 Citizen-Science-Preis der Universitätsstiftung Münster. She critiques political movements opposing gender and race theory while maintaining scientific rigor. Research Focus: Her scholarship examines genealogy as knowledge practice, single-family homes as social ontologies, and the intersections of culture, science, and politics. She leads interdisciplinary projects connecting archives, museums, and citizen science initiatives. Scientific Awards: Citizen-Science-Preis (2024) Dr. Fritz Landenberger-Preis (2009) Research Fellowship in Vienna (2009) Public Engagement: Regularly participates in exhibitions like "Familienmacher" (Österreichisches Museum für Volkskunde) and debates on topics such as genetic data ethics and urban development.
Michael Molloy is a Professor in the Department of Computer Science at the University of Toronto, with a cross-appointment to the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough (UTSC). He teaches courses in Discrete Mathematics and the Probabilistic Method, including CSC/MAT A67 and CSC2427/MAT1500 . Research Focus: Graph Theory, Probabilistic Methods, Random Graphs, Constraint Satisfaction Problems, and Markov Chain analysis. His work includes foundational contributions to graph coloring, such as adaptable/conflict coloring and correspondence coloring, and exploring phase transitions in random graphs. He has supervised numerous graduate students, including Lora Hrisch, Jurgen Aliaj, and Hamed Hatami, advancing combinatorial and algorithmic research. Recent publications analyze random graph processes, the freezing threshold for k-colorings, and the resolution complexity of constraint satisfaction problems. These studies intersect theoretical computer science, combinatorics, and probabilistic modeling, often revealing deep structural insights through rigorous mathematical proofs.
Professor Nikolaos Koutsouleris serves as a Research Group Leader for the Max Planck Fellow Group for Precision Psychiatry at the Max Planck Institute of Psychiatry and holds a position as Senior Physician in the Department of Psychiatry and Psychotherapy at Ludwig Maximilian University (LMU) Munich. His work bridges clinical practice with advanced computational approaches to transform psychiatric diagnostics and treatment. Dr. Koutsouleris specializes in predictive psychiatry, focusing on extracting meaningful patterns from neurobiological, neurocognitive, and clinical data to improve early recognition of functional psychoses. His research employs structural MRI, neuropsychological testing, and clinical evaluations within cross-sectional and longitudinal studies, utilizing advanced machine learning methods to identify and validate biomarkers for single-subject prediction of psychosis. As head of the Early Psychosis Studies and the Workgroup for Neurodiagnostic Applications, he drives initiatives to implement predictive models across healthcare settings for personalized management of high-risk individuals. His publication record reveals a consistent focus on machine learning applications in psychiatry, with recent work addressing critical issues like the generalizability of clinical prediction models, brain aging patterns in large populations, and multimodal approaches to psychosis prediction. His research spans from fundamental methodological challenges to clinical applications, demonstrating how AI and machine learning are transforming psychiatric practice toward precision medicine. Dr. Koutsouleris actively trains pre- and post-doctoral investigators in advanced data analysis techniques, emphasizing comprehensive analysis of complex, high-dimensional datasets using multivariate methods. His leadership in the PRONIA Consortium and other collaborative efforts highlights his commitment to advancing the field through international cooperation and rigorous scientific inquiry.
Larry D. Wigger serves as Teaching Professor of Supply Chain Management and Faculty Director of Assessment and Accreditation at the Henry W. Bloch School of Management, University of Missouri-Kansas City. With over twenty years of industry experience spanning strategic leadership, operations, and global project management, he integrates practical expertise into academic instruction. His educational background includes: MA in Economics from University of Missouri-Kansas City MS in Supply Chain Management and general MBA from Elmhurst University BA in Business Administration from William Jewell College He is currently completing his PhD dissertation in Economics at UMKC with a co-discipline in Public Affairs and Administration. Wigger's research bridges supply chain visibility through blockchain technology, public policy responses to automation-induced unemployment, and modern monetary theory constraints. His work examines systemic economic structures while addressing practical industry challenges in labor markets and capital allocation. Recent publications demonstrate consistent thematic focus on securing supply chains via traceability systems, analyzing labor-housing dynamics in critical materials networks, and developing holistic economic frameworks for supply chain analysis. His scholarship uniquely connects theoretical economics with tangible supply chain disruptions and policy interventions. Though no formal advisees are documented, Wigger's industry leadership included equity positions in construction startups serving petroleum, retail, and hospitality sectors, plus three years managing post-earthquake reconstruction in Port-au-Prince. His accreditation role indicates significant administrative responsibilities within the business school.
Ryan B. Jensen is an Associate Professor of Therapeutic Radiology and Pathology at Yale School of Medicine. His research is primarily focused on DNA repair mechanisms, with a special emphasis on the BRCA2 protein and homologous recombination pathways. He directs the Jensen Lab, which is affiliated with multiple Yale research centers including the Yale Cancer Center, Women's Health Research at Yale, and the Yale Combined Program in the Biological and Biomedical Sciences. Yale School of Medicine - Therapeutic Radiology Department (Primary Appointment) Yale School of Medicine - Pathology Department (Secondary Appointment) DNA Damage and Genome Integrity Research Group Molecular Medicine, Pharmacology, and Physiology Program WHRY Pilot Project Program Investigators Yale Ventures Dr. Jensen's research centers on understanding the molecular mechanisms of DNA double-strand break repair, particularly the role of BRCA2 in homologous recombination. His lab employs a multi-disciplinary approach combining biochemistry, genetics, cell biology, structural biology, and proteomics to investigate how BRCA2 and other proteins involved in homologous recombination signal and catalyze DNA repair reactions. A major focus is on understanding the functional consequences of BRCA2 interactions with proteins like PALB2, BRCA1, FANCD2, EMSY, DMC1, and DSS1, and how disruptions in these pathways lead to cancer development. Analysis of Dr. Jensen's recent publications (2019-2025) reveals a consistent research trajectory focused on BRCA2 function, DNA repair mechanisms, and cancer biology. His work spans fundamental biochemical characterization of DNA repair proteins, development of novel methodologies for studying replication dynamics, and translational research connecting DNA repair defects to cancer therapeutics. A notable trend is the increasing focus on clinical applications, particularly regarding BRCA2 variants of uncertain significance and their implications for personalized cancer treatment. Dr. Jensen has collaborated extensively with researchers across Yale, with frequent co-authors including Peter M. Glazer, Ranjit S. Bindra, Adam Krysztofiak, Faye Rogers, Fengshan Liang, and Joann Sweasy. His work has appeared in high-impact journals including Nature, Molecular Cell, and ELife. As a mentor, Dr. Jensen oversees graduate and undergraduate students in his lab, including Jennifer Garbarino and Joshua Matthew. His research has been supported by various funding mechanisms that enable the multi-disciplinary approach to studying DNA repair mechanisms and their implications for cancer biology and treatment. Dr. Jensen leads the Jensen Lab, which maintains a strong focus on understanding the molecular basis of DNA repair and its connection to cancer development. The lab has developed specialized techniques for purifying and characterizing large DNA repair proteins like BRCA2, which has enabled groundbreaking biochemical studies of these critical cancer-related proteins.
Stephen Rowe serves as an Associate Professor in the Accounting Department at the Walton College of Business, University of Arkansas. With extensive industry experience including nine years at KPMG culminating as Audit Manager, he maintains an active CPA license in Washington State while teaching intermediate accounting at graduate and undergraduate levels. His scholarly work focuses on auditing and financial reporting, published in premier journals including The Accounting Review and Review of Accounting Studies . Rowe holds a PhD from the University of Illinois at Urbana-Champaign, a Master's degree from Loyola University Chicago, and a Bachelor's degree from Covenant College. His educational journey bridges rigorous academic training with practical industry experience, informing his teaching approach that emphasizes conceptual understanding through real-world case studies. Research interests span auditing quality, financial reporting practices, and capital market interactions. Recent investigations examine index fund ownership effects, auditor switching dynamics, and media influence on audit markets. His methodological toolkit combines traditional econometric analysis with machine learning techniques, particularly evident in predictive models for auditor behavior. Rowe's work consistently addresses regulatory concerns while exploring market-driven phenomena in accounting ecosystems. Analysis of his publication trajectory reveals increasing focus on market-based audit quality indicators, with growing emphasis on passive investing impacts and regulatory compliance mechanisms. The 2021-2025 period shows heightened attention to technological disruption (machine learning applications) and non-traditional monitoring forces (media scrutiny, index fund activism) within audit markets. Professional recognition includes multiple teaching awards and extensive litigation support consulting engagements. Rowe leverages his expertise as a founding member and CFO of White River Capital Advisors LLC (2020-present), providing expert witness services that connect academic research with real-world accounting disputes. His industry background enables practical translation of complex accounting concepts for diverse audiences. Rowe maintains active engagement with professional practice through ongoing litigation consulting since 2016 and continuous CPA licensure. His balanced commitment to academic rigor and professional relevance exemplifies the practitioner-scholar model, with research directly addressing contemporary challenges in financial reporting and auditing ecosystems.
Jorge Raul Cordovez Manriquez serves as an External Lecturer and Teaching Assistant at the Department of Mathematical Sciences 'GL Lagrange' (DISMA) at Polytechnic University of Turin. He holds invited membership in both the College of Biomedical Engineering and College of Chemical and Materials Engineering. His primary teaching responsibilities span multiple engineering programs including Aerospace Engineering, Computer Science Engineering, and Management Engineering, as well as Architecture programs. His research focuses on advanced topics in algebraic geometry, particularly Schubert calculus, Fano varieties, and complete intersections. His work explores combinatorial structures in algebraic varieties, geometric configurations of lines and conics, and binomial formulas in intersection theory. The mathematical techniques developed in his publications have applications in enumerative geometry and theoretical physics. Over the past decade, Cordovez Manriquez has maintained consistent publication activity in specialized mathematics journals, with his most recent work (2009) extending binomial formulas to Schubert calculus contexts. His research demonstrates deep connections between combinatorial algebra and geometric structures in projective spaces. As an educator, he has taught foundational mathematics courses including Mathematical Analysis I, Linear Algebra and Geometry, and Mathematical Principles across multiple academic years (2019/20-2025/26). His teaching portfolio shows particular emphasis on engineering mathematics for Aerospace Engineering programs, where he has served as both Course Lecturer and Course Collaborator for core mathematical subjects.
Dr. Patrick Park is an Assistant Professor at the Software and Societal Systems Department within Carnegie Mellon University's School of Computer Science. His work bridges computational and social sciences to analyze network dynamics, digital communication, and open source systems. Current position: Assistant Professor Institution: Carnegie Mellon University Department: Software and Societal Systems Park's research focuses on social network analysis, behavioral modeling, and computational sociology. Key contributions include studies on network diversity, geospatial visualization techniques, and digital communication patterns across civilizations. His recent publications (2023-2024) highlight expertise in network visualization, social contagion, and open source innovation. Earlier work spans topics like organizational classification, user behavior paradoxes, and cross-cultural communication networks.
