Find Academic Supervisors

Rasmus WaagepetersenView profile

Professor

• Spatial Statistics
• Quantitative Genetics
• Markov Chain Monte Carlo Methods
• +3 more

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
• +3 more

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
• +3 more

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. BrannonView profile

Professor

• Numerical Cognition
• Developmental Psychology
• Comparative Cognition
• +3 more

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.

• Structural Biology
• Molecular Biophysics
• Cryo-Electron Microscopy
• +9 more

David Agard is a Professor in the Department of Biochemistry and Biophysics at the University of California San Francisco (UCSF), where he leads a research group focused on uncovering the structural basis of biological function at the molecular and cellular levels. His lab specializes in advanced cryo-electron microscopy (cryo-EM) and fluorescence light microscopy, developing novel imaging technologies to study dynamic cellular processes. His research interests span structural biology , molecular chaperone function (particularly Hsp90 and its role in disease), microtubule nucleation , centrosome and cilium structure , and the structure of phage-encoded tubulins . He is deeply involved in methodological innovations in cryo-EM data processing , including deconvolution, heterogeneous reconstruction, and tomography, enabling atomic-level insights into complex biological systems. Recent publications highlight his lab’s work on the structural mechanisms of Hsp90-client regulation, microtubule organization, phage nucleus formation, and high-resolution imaging techniques using functionalized graphene-oxide grids. His work increasingly integrates AI-driven structural modeling and in situ approaches to understand macromolecular complexes in their native cellular context. Dr. Agard has made seminal contributions to understanding the ATPase cycle of Hsp90, the architecture of the gamma-tubulin complex, and the structural dynamics of viral and cellular tubulins. His research bridges biochemistry, biophysics, and cell biology, with implications for cancer, neurodegeneration, and antimicrobial strategies.

Laura MolwayView profile

Senior Lecturer

• Second Language Acquisition
• Language Teacher Education
• Educational Policy Analysis
• +3 more

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 MuellenbroichView profile

Senior Lecturer

• Light-sheet microscopy
• Biomedical imaging
• Neuroscience
• +5 more

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
• +3 more

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 HuffordView profile

Professor

• Plant Genetics
• Genomics
• Evolutionary Biology
• +3 more

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 RabinowitzView profile

Professor

• Cellular Metabolism
• Chemical Biology
• Metabolic Regulation
• +3 more

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
• +4 more

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 FairbrotherView profile

Professor

• Environmental Chemistry
• Materials Chemistry
• Surface Chemistry
• +14 more

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
• +3 more

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 AshtonView profile

Professor

• Neural tissue engineering
• Vascular tissue engineering
• Regenerative therapies for the central nervous system
• +3 more

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.

Rhodri Ivor LengView profile

Lecturer

• Sociology of Science
• Scientometrics
• Metascience
• +4 more

Rhodri Leng is a Lecturer in Science and Technology Studies at the University of Edinburgh's School of Social and Political Science, where he has been employed since January 2024. His academic journey includes a PhD and MSc(R) in Science and Technology Studies from Edinburgh, an MA in Political and Legal Theory from the University of York, and an MA in Politics from the University of Glasgow. Research Focus: Leng specializes in the sociology of scientific development, examining how scientific knowledge spreads, influences opinion, and evolves within communities. His mixed-method approach combines computational techniques like citation network analysis and text mining to study: Dynamics of scientific literature and citation practices Detection of citation bias and distortion Integration of computational methods in scientific reviews Research integrity and impact assessment His work spans biomedical, astrophysics, and policy domains. Publications: Leng's 13 most recent journal articles (2018-2024) demonstrate consistent focus on scientometrics, genomics, neuroscience, and policy studies. Key themes include citation network analysis (10 papers), scientific controversies (5 papers), and computational methods in humanities (8 papers), with increasing attention to metascience and research evaluation in recent years. Awards & Honors: ESRC Postdoctoral Fellowship (2020-2021) ESRC Advanced Quantitative Methods PhD Studentship (2016-2019) EUSA Teaching Award for 'Best Student Who Tutors' (2019) Supervision & Grants: He welcomes PhD/Master's students interested in science policy, field development, or evidence-use practices. Previously secured ESRC funding for projects on selective citation analysis. Developed online courses in systematic literature review and network analysis for biomedical/social sciences. Professional Background: Before academia, Leng worked in UK politics as parliamentary/policy officer. From 2021-2024, he conducted industry research at Baillie Gifford, focusing on sociotechnical transitions and scientific mapping for investment strategies.