جست‌وجوی استاد و پژوهشگر

Christina Kinaneمشاهده پروفایل

استادیار

• American Politics
• Quantitative Methods
• Policymaking
• +۳ مورد دیگر

Christina M. Kinane is an Assistant Professor of Political Science at Yale University and a Research Fellow at the Institution of Social and Policy Studies (ISPS). She specializes in American political institutions, focusing on the interplay between legislatures, executives, and bureaucracy in policymaking. Her research examines how presidents strategically use vacancies and acting appointees to advance policy priorities. She earned her Ph.D. from the University of Michigan (2019), an M.P.A. from the London School of Economics (2010), and a B.A. from UCLA (2007). Her work has been published in top journals like the American Political Science Review , and her book Unconfirmed Power explores unilateral governance through acting appointees. Her research interests include quantitative methods, bureaucratic control, and presidential politics. She teaches courses on American politics, executive branch dynamics, and research writing. Awards include the E. E. Schattschneider Award (2021) and George C. Edwards III Award (2020) for her dissertation. Her current projects address independent agency oversight, confirmation bargaining, and federal election commission dynamics. Professor Kinane’s articles analyze ACA healthcare coverage, partisan state policies, and the strategic use of U.S. attorney appointments. She has contributed to policy discussions in Marketplace and The Washington Post , emphasizing the implications of administrative governance. Her teaching includes courses like The Chief and the Bureaucrats and Policymaking under Separation of Powers . She mentors students through Yale’s Millstone Fellowship in Public Service and previously taught at the University of Michigan.

• Asset Pricing
• Financial Markets
• Fund Management
• +۳ مورد دیگر

Dr. Dirk Nitzsche is an Associate Professor in Finance at Bayes Business School, part of City, University of London. He serves as Course Director for the Quants Masters Programmes and Associate Dean for International Relations. His academic career spans over 25 years, including roles at Imperial College London and Newcastle University. He holds a BA and PhD from the University of Newcastle. Dr. Nitzsche's research focuses on asset pricing, mutual fund performance, and financial markets, with a particular emphasis on European markets. He has authored/co-authored five textbooks, including Derivatives: Theory and Practice and Quantitative Financial Economics . His work examines performance persistence of mutual funds, particularly in the UK and Germany, using advanced statistical methods like bootstrapping and False Discovery Rate analysis. His recent studies highlight persistent skill-driven performance in small portfolios of top-performing UK mutual funds. He has also explored market timing, fund manager skill vs. luck, and carbon portfolio management. His research has attracted media attention and influenced policy discussions on fund transparency and competition. Dr. Nitzsche has supervised students like Pari Thirnchai and contributed to editorial roles at the European Journal of Finance . His work bridges academic rigor and practitioner relevance, addressing both theoretical and applied challenges in finance.

Rasmus Waagepetersenمشاهده پروفایل

استاد

• Spatial Statistics
• Quantitative Genetics
• Markov Chain Monte Carlo Methods
• +۳ مورد دیگر

Rasmus Waagepetersen is a Professor in the Department of Mathematical Sciences at Aalborg University, affiliated with The Faculty of Engineering and Science. His research focuses on spatial statistics, quantitative genetics, and statistical methodology for spatial point processes. He leads and participates in interdisciplinary projects such as urbanLab (spatial data analysis for urban planning) and studies on microbiome interactions in agricultural systems. Key research areas include spatial point processes, Markov chain Monte Carlo methods, and statistical inference for complex ecological and biomedical data. His work frequently involves collaborations with environmental and biological scientists, as seen in projects analyzing root microbiota assemblies in legumes and climate data for building simulations. Waagepetersen has contributed to methodological advancements in spatial statistics, including goodness-of-fit tests, likelihood-based inference for log Gaussian Cox processes, and quasi-likelihood approaches for case-control point pattern data. His research has been supported by grants from institutions like the Villum Foundation. Key Projects: urbanLab, Klimadata til fugtsimuleringer, Nod factor signaling in plant microbiota. Grants: Multiple projects funded by the Villum Foundation and Danish research councils. His recent publications address topics such as space-time point processes, microbiome data analysis, and statistical modeling in education. Waagepetersen maintains an active research group and collaborates internationally on both theoretical and applied statistical problems.

• Educational Equity
• Critical Quantitative Research Methods
• Mixed Methods Research
• +۳ مورد دیگر

Dr. Shanyce L. Campbell is an Associate Professor in the Department of Educational Foundations, Organizations, and Policy at the University of Pittsburgh's School of Education. Her work focuses on equitable educational opportunities for students of color, critical quantitative methods, and transformative education policy. She holds a Ph.D. in Public Policy from the University of North Carolina at Chapel Hill and completed postdoctoral work at the University of Michigan. Dr. Campbell is a co-founder of the Quant4What Collective, advocating for anti-racist quantitative research. Her research has been recognized with awards such as the NAEd/Spencer Postdoctoral Fellowship and the Palmer O. Johnson Memorial Award. Education: Bachelor of Science (summa cum laude) in Accounting from North Carolina A&T State University (2004); Ph.D. in Public Policy from UNC Chapel Hill (2014); postdoctoral fellowship at University of Michigan (2014-2017). Research Interests: Policies influencing access to learning for marginalized students, critical quantitative methods as a liberatory tool, teacher evaluation systems, and equity in education. Grants: Co-Principal Investigator on projects totaling over $2.5 million, including Spencer Foundation grants and Heinz Endowments funding. Recent initiatives include justice-centered interventions for Black youth in Pittsburgh and studies on racial dispositions in schools. Awards: Palmer O. Johnson Memorial Award (2019), NAEd/Spencer Fellowship (2019-2020), and recognition as the first Black doctoral graduate in UNC's Public Policy department (2014). Labs/Teams: Co-Director of the Justice Scholars Institute and member of the Quant4What Collective. Active in professional service, including AERA's Critical Educators for Social Justice SIG and editorial roles for journals focused on equity and critical quantitative approaches.

• Computational Finance
• Time Series Econometrics
• Dynamic Programming
• +۳ مورد دیگر

Dr. François-Michel Boire is an Assistant Professor in the Department of Mathematics and Statistics at the University of Ottawa. His research focuses on computational finance, time series econometrics, and optimal stochastic control. He teaches courses such as MAT 4372 (Financial Mathematics), MAT 4376 (Mathematical Foundations of Risk Management), and MAT 3779 (Introduction to Time Series Analysis). His work emphasizes algorithmic improvements for financial modeling, particularly in Monte Carlo methods and option pricing. Notable contributions include bias correction techniques for the Least-Squares Monte Carlo algorithm, variance reduction strategies for American options, and analysis of policy impacts on GDP growth distributions. Dr. Boire's research spans computational finance applications, stochastic control theory, and econometric methodologies. His recent articles (2021–2024) highlight advancements in derivative pricing techniques and financial risk quantification. He maintains an active presence on SSRN, ResearchGate, and Google Scholar.

Elizabeth M. Brannonمشاهده پروفایل

استاد

• Numerical Cognition
• Developmental Psychology
• Comparative Cognition
• +۳ مورد دیگر

Elizabeth M. Brannon is the Edmund J. and Louise W. Kahn Term Chair in the Natural Sciences and Director of Undergraduate Studies in Psychology at the University of Pennsylvania. Her research focuses on the evolution and development of numerical cognition, exploring how humans and nonhuman animals process quantitative information through behavioral, neuroimaging, and electrophysiological methods. She investigates how innate number sense influences mathematical learning and applies this to educational neuroscience. Education: BA in Biological Anthropology (University of Pennsylvania), MA and PhD in Psychology (Columbia University). She teaches courses in Developmental Psychology (PSYC 181) and advanced seminars (PSYC 480). Her work at the Developing Minds Lab integrates behavioral studies with neurobiological tools to trace cognitive and neural changes in mathematical thinking across ages. Current projects explore interventions to enhance math skills using foundational number sense training. Notable advisees include Chuyan Qu, who secured a Western Postdoctoral Fellowship. Recent accolades include NIH-funded research and student recognitions such as Phi Beta Kappa inductions.

Laura Molwayمشاهده پروفایل

مدرس ارشد

• Second Language Acquisition
• Language Teacher Education
• Educational Policy Analysis
• +۳ مورد دیگر

Laura Molway is a Senior Lecturer in Modern Languages Education at the University of Oxford, serving as Co-Director of the Oxford Education Deanery and subject lead for the PGCE in Modern Languages. Her work focuses on instructed second language learning, teacher education, and professional development for language educators. She supervises doctoral students researching language pedagogy and mentors pre-service teachers. Her research explores cross-national comparisons of language teaching methods in England, Norway, and France, emphasizing teacher learning needs and instructional strategies. Recent projects include a Swire Foundation-funded study on Chinese language learning motivation in UK secondary schools and a Norwegian-funded comparative study on language instruction contexts. Publications highlight mentorship frameworks, language motivation theories, and curriculum design innovations. She co-authored Mentoring Languages Teachers in the Secondary School (2025), analyzing best practices for new educators. Her work bridges theory and practice, addressing challenges in modern language education policy and classroom implementation. Laura advises doctoral candidates Qian Liu and Gia-Yen Luong, advancing research in language pedagogy and educational equity. She collaborates internationally, contributing to debates on language teacher training efficacy and cross-cultural educational practices.

Caroline Muellenbroichمشاهده پروفایل

مدرس ارشد

• Light-sheet microscopy
• Biomedical imaging
• Neuroscience
• +۵ مورد دیگر

Dr. Caroline Muellenbroich is a Senior Lecturer at the School of Physics & Astronomy, University of Glasgow, where she develops advanced microscopy techniques for cardiac and neuro imaging. She joined the university in 2018 and is based at the Advanced Research Centre. Her work bridges physics, engineering, and biomedical sciences to create innovative imaging solutions. Dr. Muellenbroich received her physics education at the University of Heidelberg, Germany, and earned her PhD from the Institute of Photonics, University of Strathclyde, Glasgow in 2012. Her doctoral research focused on adaptive optics in advanced microscopy techniques. She then pursued postdoctoral research at the Biophotonics group at the European Laboratory for Nonlinear Spectroscopy (LENS) in Florence, Italy, where she implemented confocal light-sheet microscopy for whole mouse brain imaging and functional calcium imaging in Zebrafish. From 2016-2018, she worked as a researcher with the Italian National Institute of Optics, part of the Italian National Research Council. Dr. Muellenbroich's research focuses on developing and applying advanced optical imaging techniques, particularly light-sheet microscopy, for biomedical applications. Her work spans neuroscience and cardiology, with a strong emphasis on whole-brain imaging in model organisms and cardiac electrophysiology studies. She has made significant contributions to improving imaging fidelity, developing artifact removal techniques, and creating open-source microscope hardware. Her research bridges fundamental physics with practical biomedical applications, enabling new discoveries in brain function and cardiac physiology. Analysis of her recent publications reveals a strong focus on light-sheet microscopy applications in neuroscience and cardiology. Her work addresses technical challenges in whole-brain imaging, artifact reduction, and the development of novel optical approaches for studying brain activity and cardiac function. She has made important contributions to the field through both technical innovations in microscopy hardware and novel applications of these techniques to biological problems. Dr. Muellenbroich is actively involved in developing open-source approaches to microscope hardware, as evidenced by her 2022 Nature Methods publication "CAD we share? Publishing reproducible microscope hardware." Her research has been supported by various grants, though specific funding sources are not detailed in the available information. She leads research efforts in developing advanced microscopy techniques for cardiac and neuro imaging, working with interdisciplinary teams that include physicists, engineers, biologists, and medical researchers. Her laboratory likely focuses on pushing the boundaries of optical imaging to address challenging biomedical questions in brain function and cardiac physiology.

• Logistics Optimization
• Transportation Planning
• Operations Research
• +۳ مورد دیگر

Prof. Michael Schneider is Universitätsprofessor and Chair of Computational Logistics at RWTH Aachen University since 2016. Previously, he held positions at TU Darmstadt (2013-2016) and earned his doctoral degree from TU Kaiserslautern (2012). His research focuses on logistics optimization, including transportation routing, warehouse management, and metaheuristic methods for solving complex operational challenges. He leads the Global Challenges Lab and serves as communication chair of VeRoLog (EURO's vehicle routing group). Research interests include: quantitative modeling for supply chains, heuristic/exact optimization methods, electric vehicle routing, territory design, and production planning. Notable achievements include the INFORMS Journal on Computing Meritorious Paper Award (2021) and editorial roles in journals like Applied Mathematical Modelling. Publications span topics like vehicle routing with time windows, electric logistics networks, and warehouse automation strategies. His work integrates advanced algorithms with real-world industry applications (e.g., DHL, Picnic). The Computational Logistics group collaborates on projects addressing sustainability, autonomous systems, and modern warehousing challenges. Education: Business Admin & Computer Science (University of Mannheim), PhD (TU Kaiserslautern) Professional Roles: VeRoLog Communication Chair, EURO Working Group Key Projects: Electric vehicle routing optimization, warehouse automation, and sustainable logistics networks

Matthew B Huffordمشاهده پروفایل

استاد

• Plant Genetics
• Genomics
• Evolutionary Biology
• +۳ مورد دیگر

Matthew B Hufford is a Professor in the Department of Ecology, Evolution, and Organismal Biology (EEOB) at Iowa State University. He joined the faculty in 2013 as an Assistant Professor and currently holds the Cassling Family Professorship. His research focuses on the evolution and ecology of crops, particularly maize and its wild relatives, including teosintes. Key areas include demography of maize landraces, gene flow dynamics in Zea genus, and comparative genomics of grass species. Education: B.S. in Biology from Wheaton College (1999), M.S. in International Agricultural Development and Ph.D. in Ecology, both from UC Davis (2010). Research interests span genomic diversity in maize, adaptation to environmental conditions, and the role of transposable elements in genome evolution. His lab investigates genomic resources like pan-genomes and assembly tools (e.g., Gapless assemblies using long-read technologies). Recent trends in publications highlight advancements in genomic tools, climate adaptation, and comparative analyses across grass species. Labs/Teams: The Hufford Lab at Iowa State University focuses on evolutionary genomics, leveraging genomic data to understand crop domestication and adaptation. Collaborations involve bioinformatics, genetics, and ecological studies.

Joshua Rabinowitzمشاهده پروفایل

استاد

• Cellular Metabolism
• Chemical Biology
• Metabolic Regulation
• +۳ مورد دیگر

Joshua Rabinowitz is a Professor of Chemistry and Director of the Ludwig Princeton Branch at Princeton University. His research focuses on quantitative analysis of cellular metabolism, leveraging advanced mass spectrometry and computational modeling. Key areas include metabolic regulation in microbes (E. coli, yeast), cancer cell metabolism, viral infection impacts, and biofuel production. His lab has pioneered methods to measure metabolites and fluxes, leading to discoveries like novel cancer metabolites and antiviral strategies via fatty acid inhibition. Notable honors include the NIH Pioneer Award and Agilent Thought Leader Award. Research emphasizes systems-level understanding, with projects combining biological experiments, metabolomics, and computation. Recent work explores metabolic heterogeneity in humans, immunotherapy enhancements through metabolic modulation, and metabolic vulnerabilities in cancers like rhabdomyosarcoma. Collaborations include engineering yeast for biofuel production and developing therapeutics targeting metabolic pathways. Lab Website: Rabinowitz Lab Affiliations: Lewis-Sigler Institute for Integrative Genomics, Princeton University Major contributions include identifying metabolic shifts in viral infections, modeling microbial nutrient responses, and advancing technologies for metabolite quantification. Current efforts aim to integrate metabolomic data with enzyme regulation dynamics to predict metabolic networks across organisms.

• Computational Finance
• Financial Optimization
• Portfolio Selection
• +۴ مورد دیگر

Dr. Enrico Schumann is a Research Fellow at the Faculty of Economics, University of Basel, affiliated with the Wilhelm Winternitz Center for Economics (WWZ), specializing in Computational Economics and Finance. Institution: University of Basel School: Faculty of Economics Department: Computational Economics and Finance Position: Research Fellow Email: enrico.schumann@unibas.ch His research focuses on computational methods in finance, particularly optimization techniques, portfolio selection, and risk-reward analysis. He employs heuristic and numerical methods to solve complex financial modeling problems. His recent publications highlight a consistent focus on algorithmic and computational approaches to financial decision-making, including portfolio optimization and risk assessment using advanced numerical techniques. Dr. Schumann has co-authored influential works such as the book Numerical Methods and Optimization in Finance and contributed to edited volumes on dynamic economic modeling. His work bridges finance, operations research, and computational economics. There are no listed scientific awards or honors in the provided text. No information is available about student supervision or grant funding. He is part of a research environment that emphasizes quantitative and computational approaches to economic and financial problems, collaborating with scholars like Manfred Gilli and Dietmar Maringer.

Howard Fairbrotherمشاهده پروفایل

استاد

• Environmental Chemistry
• Materials Chemistry
• Surface Chemistry
• +۱۴ مورد دیگر

Howard Fairbrother is a Professor and Interim Chair in the Department of Chemistry at Johns Hopkins University, with a joint appointment in the Department of Materials Science and Engineering. He leads an active research group at the intersection of environmental chemistry, surface science, and materials chemistry, focusing on nanostructures, nanomaterials, and sustainable technologies. Education: B.A. in Chemistry, Oxford University, 1989 Ph.D. in Chemistry, Northwestern University, 1994 Postdoctoral Research, University of California, Berkeley, 1994–1997 His research spans environmental implications of nanomaterials, electron/ion-induced deposition processes, and sustainable applications such as nutrient delivery systems and microplastic analysis. He employs advanced techniques including XPS, AFM, TEM, SEM, and mass spectrometry. His work is highly collaborative, involving the NSF-funded Center for Sustainable Nanotechnology (CSN), EPA, NIST, and multiple academic institutions. Recent publications (2021–2025) reveal a strong focus on environmental nanotechnology, including micro/nanoplastics, carbon dots, biodegradable nanocomposites, and gas separation membranes. The research integrates materials synthesis, surface characterization, and environmental fate studies, with applications in sustainable agriculture, environmental monitoring, and semiconductor technology. Scientific Awards: Fellow of the American Chemical Society (2011) National Science Foundation CAREER Award (2000) Outstanding Graduate Thesis Award, Northwestern University (1994) Professor Fairbrother advises several graduate students and maintains the JHU Surface Analysis Facility. He has served as Senior Editor for the Journal of Physical Chemistry and held leadership roles in the American Chemical Society’s Colloids and Surface Chemistry Division. His group actively engages in interdisciplinary research, mentoring, and innovation in both environmental and materials sciences. His lab collaborates with researchers across JHU, including the Department of Geography and Environmental Engineering, and external partners such as Mirexus Biotechnologies, the University of Florida, and the University of Maryland. The Fairbrother group emphasizes sustainability, precision materials design, and real-world environmental impact.

• Materials Science
• Solid-State Physics
• X-ray Diffraction
• +۳ مورد دیگر

Paul Evans is a Professor in the Department of Materials Science & Engineering at the University of Wisconsin-Madison, College of Engineering. His research focuses on nanoscale materials synthesis, ultrafast dynamics, and advanced X-ray characterization techniques. PhD, Harvard University (2000) MS, Harvard University (1996) BS, Cornell University (1994) Evans investigates solid-phase epitaxy of complex oxides, strain imaging in acoustic devices, and optically driven phase transitions. His work combines experimental and computational approaches, including deep learning for diffraction data analysis. His recent publications highlight breakthroughs in nanoscale crystallization, ultrafast magnetization dynamics, and hybrid magnon-phonon systems. Awards include the Bascom Professorship and Vilas Mid-Career Award. Surface Science and Technology Bascom Professorship (2022) Vilas Associate Award (2019) Polygon Engineering Outstanding Instructor Award (2006) Evans teaches courses in materials structure, advanced X-ray methods, and thesis research. His lab enables scalable synthesis of perovskites and defect-minimized oxide heterostructures.

Randolph Ashtonمشاهده پروفایل

استاد

• Neural tissue engineering
• Vascular tissue engineering
• Regenerative therapies for the central nervous system
• +۳ مورد دیگر

Randolph Ashton is a Professor in the Department of Biomedical Engineering at the University of Wisconsin-Madison College of Engineering. He directs the Stem Cell Bioprocessing and Regenerative Biomaterials Laboratory, where his team engineers novel materials and methodologies for lineage-specific differentiation of human pluripotent stem cells. His interdisciplinary research bridges biomaterials science, stem cell biology, and tissue engineering to develop regenerative therapeutic strategies. His educational background includes: PhD (2007) from Rensselaer Polytechnic Institute BS (2002) from Hampton University Ashton's research focuses on neural and vascular tissue engineering , with specialization in regenerative therapies for the central nervous system. His laboratory employs microfabrication, molecular biology, recombinant protein engineering, and automated live-cell imaging to investigate cellular microenvironmental factors regulating stem cell fate. Current work emphasizes developing high-throughput screening methods and tissue-engineered scaffolds for generating complex tissue structures in vitro. His recent publications reveal a strong trajectory in neural organoid development, CNS vascularization, and microphysiological systems. The research demonstrates quantitative approaches to understanding stem cell differentiation, with applications spanning from fundamental developmental biology to clinical regenerative medicine. Key technological innovations include advanced microelectrode arrays and high-throughput screening platforms for neural tissue engineering. Notable awards include: 2023 AIMBE Fellowship 2020 WARF Innovation Award 2018 UW-Madison College of Engineering Equity & Diversity Award 2017 NSF CAREER Award 2016 Regenerative Medicine Workshop Young Investigator Award Ashton actively mentors graduate students through thesis research (BME 890, BME 990) and teaches core courses including Biological Interactions with Materials (BME 430). His laboratory operates as an interdisciplinary team bringing together engineering, biology, and materials science expertise to develop regenerative therapies, with current focus on central nervous system applications and expanding interests in vascular and muscular tissues. The Stem Cell Bioprocessing and Regenerative Biomaterials Laboratory maintains active collaborations across disciplines and continues to develop novel approaches for high-order tissue structure generation using human pluripotent stem cells. Current research directions include expanding into vascular and muscular tissue systems while refining quantitative methodologies for stem cell microenvironment characterization.