Find Academic Supervisors

• Biomedical Engineering
• Drug Delivery Systems
• Microfluidics
• +6 more

Dario Carugo is an Associate Professor of Biostimulation and Immunological Engineering at University College London (UCL), School of Pharmacy, Department of Pharmaceutics. Previously, he held positions at the University of Oxford (Botnar Research Centre) and University of Southampton. His academic foundation includes a BSc and MSc in Biomedical Engineering from Politecnico di Milano (specializing in Biological Fluid Dynamics & Bio-Machines), and a PhD in Bioengineering Sciences from the University of Southampton. His research spans acoustofluidics , microfluidic drug delivery systems , and biofilm eradication technologies . Key interests include ultrasound-activated drug carriers, mechanistic models for therapeutic physical stimuli, and nano/micro-scale systems for chronic wound treatment, implant infections, and musculoskeletal disorders. His work integrates computational fluid dynamics with experimental models to optimize interventional treatments. Recent publications (2023-2025) reveal a strong trend toward biofilm-targeted therapies using ultrasound-responsive carriers (microbubbles/nanodroplets), oxygen delivery systems for bone healing, and 3D-printed devices for precision drug delivery. Interdisciplinary collaborations span microbiology, urology, and tissue engineering, with emphasis on translating lab innovations to clinical applications for chronic wounds and implant-associated infections. Awards: Italian National Bioengineering Group award IMechE Biomedical Engineering Division award EPSRC Doctoral Prize award FP7 European project funding BBSRC award Junior Research Fellowship at Jesus College, Oxford Carugo teaches Biofluids (Engineering Science) and Micro- & nano-technologies for personalised medicine (MSc Pharmacology), alongside supervising MSc Musculoskeletal Sciences laboratory activities. His Botnar Research Centre lab pioneers vortical flow devices for ultrasound-activated drug delivery and high-speed imaging systems (>1 million fps) to quantify cellular responses to mechanical stimuli.

• Mathematics Education
• History of Mathematics
• Semiotic Mediation
• +5 more

Michela Maschietto is a Full Professor at the Department of Education and Human Sciences, University of Modena and Reggio Emilia, with a focus on mathematics education methodology and historical mathematical artifacts. She previously held positions at the Mathematics campus and leads the Laboratory of Mathematical Machines. Research Interests: Her work bridges physical and digital tools in mathematics education, emphasizing semiotic mediation, argumentation development, and historical instrument reconstruction for pedagogical purposes. She explores geometric-mechanical artifacts for calculus concepts and investigates connections between spatial/geometrical knowledge. 2025 study on geometry education trends using didactic tetrahedron model 2024 research on physical-digital tool integration for argumentative skill development 2023 projects involving tactile calculus devices and conic section machines Teaching Activities: She designs mandatory laboratory components for primary education students, covering national guidelines, semiotic mediation theory, and historical artifacts like abacuses and programmable robots. Her courses emphasize problem-solving, geometric visualization, and standardized assessment analysis. Laboratory Involvement: As head of the Mathematical Machines Laboratory, she organizes exhibitions and workshops using reconstructed historical instruments for mathematics popularization. This includes collaborations with international researchers on topics like the Pythagorean theorem and conic sections.

Luo MaiView profile

Assistant Professor

• Computer Systems
• Machine Learning Systems
• Data Management
• +3 more

Luo Mai is an Assistant Professor at the University of Edinburgh's School of Informatics , with an upcoming promotion to Associate Professor (UK Reader) in August 2025. He leads the Large-Scale Machine Learning Systems Group and co-leads the UK EPSRC Centre for Doctoral Training in Machine Learning Systems and an ARIA Project on Scaling AI Compute by 1000X . PhD in Computer Science (Imperial College London, 2018) MRes in Advanced Computing (Imperial College London, 2012) His research focuses on the intersection of computer systems , machine learning , and data management . Key contributions include award-winning systems like WaferLLM (wafer-scale LLM inference), Tenplex (elastic ML), and ServerlessLLM (serverless LLM serving), published at top venues (OSDI, SOSP, ICML, NeurIPS, JMLR). Recent publications demonstrate trends in GPU-based distributed systems , LLM optimization , and adaptive machine learning . His team has developed groundbreaking open-source projects including TensorLayer , TorchOpt , and ServerlessLLM . Awarded Microsoft Research StarTrack Scholar (2024) , secured ARIA grant (2024) with Imperial College & Cambridge University, and received Google Fellowship during PhD (2012-2016). As an educator, he designed Edinburgh's popular Machine Learning Systems course (150+ students). His group supervises multiple PhD students including Yao Fu (recognized as 2024 Rising Star in ML & Systems) and Leyang Xue .

Walter JetzView profile

Professor

• Ecology
• Biodiversity Science
• Conservation
• +5 more

Walter Jetz is a Professor of Ecology and Evolutionary Biology and the School of the Environment at Yale University, where he directs the Center for Biodiversity and Global Change. He chairs the E.O. Wilson Biodiversity Foundation and co-chairs the GEO BON Species Population Working Group. His work focuses on biodiversity science, conservation, and global change ecology. Education: D.Phil. in Zoology (University of Oxford, 2002), M.Sc. in Integrative Bioscience (Oxford, 1997) Research interests include macroecology, species distribution modeling, and conservation science across spatial scales. His group develops tools like Map of Life , Wildlife Insights , and Half-Earth Project to address biodiversity monitoring and area-based conservation. Current projects explore climate change impacts on tropical ecosystems, movement ecology, and machine learning applications in biodiversity science. Recent publications focus on niche scaling, climate change vulnerability, deep learning for species distribution, and mountain biodiversity monitoring. Awards include being an ISI Highly Cited Researcher since 2014. Over 30 former students hold faculty positions globally. The lab promotes diversity, equity, and inclusion in science and collaborates with NASA, Microsoft, and the Gordon and Betty Moore Foundation.

Jenna L. HennebryView profile

Professor

• Gender and Migration
• International Migration
• Labour Migration Governance
• +5 more

Jenna L. Hennebry is a Professor at the Balsillie School of International Affairs and Associate Dean at the School of International Policy and Governance at Wilfrid Laurier University. She also serves as Program Coordinator for the Women and Gender Studies program in the Faculty of Arts. Hennebry co-founded the International Migration Research Centre , the Migrant Worker Health Project , and the Gender+Migration Hub, funded by Immigration, Refugees and Citizenship Canada. Education: PhD in Sociology (University of Western Ontario, 2006) MA in Sociology (University of Waterloo, 1998) BA in Sociology (University of Waterloo, 1995) Research Focus centers on migrant worker rights, labor migration governance, gender and migration, health and social protection, and transnationalism. Her work addresses structural vulnerabilities, policy coherence, and rights-based approaches to migration systems. Scientific Contributions include publications in International Migration , Journal of Ethnic and Migration Studies , and technical reports for UN Women and the International Organization for Migration (IOM). Key projects involve "Mediating Mobility: Temporary Migration and Private Sector Influence in Canada's Immigration System" and "Promoting and Protecting Women Migrant Workers’ Labour and Human Rights" (Mexico, Moldova, Philippines). Awards WLU Faculty Merit Award (2013) WLU Faculty Merit Award (2009) Leadership Roles include membership in the Canadian Council for Refugees Subcommittee on Migrant Workers, UN Expert Working Group on Women’s Human Rights, and advisory positions with the Global Migration Data Centre and the Migration Research and Publishing High-Level Advisers at IOM.

Thomas SchandingView profile

Associate Professor

• Social and Emotional Learning
• Behavioural and Mental Health
• Assessment
• +5 more

Thomas Schanding serves as Associate Professor and Department Head in the Department of Educational and Counselling Psychology, and Special Education at the University of British Columbia's Faculty of Education. He concurrently directs the Psychological Services and Counselling Training Centre. Previously, he held significant roles including core faculty in Special Education and Associate Director of Outreach and Leadership for the decade-long LoneStar LEND program at the University of Texas Health Science Center at Houston, alongside clinical supervision positions at Baylor College of Medicine/Texas Children’s Hospital. His educational foundation includes doctoral coursework at the University of Southern Mississippi (APA-accredited) and doctoral internship with Cypress-Fairbanks Independent School District (APA-accredited). Doctoral Coursework: University of Southern Mississippi Doctoral Internship: Cypress-Fairbanks Independent School District Dr. Schanding's research centers on social-emotional learning (SEL) and behavioral/mental health (B/MH) through three interconnected pillars: (1) assessment methodologies for SEL/B/MH, (2) evidence-based interventions to enhance youth well-being, and (3) cultural-linguistic considerations in school-community contexts. His clinical expertise spans Autism Spectrum Disorders and 2SLGBTQIA+ youth experiences, operating within Cognitive-Behavioral and Ecological theoretical frameworks. The SMART Lab ( https://blogs.ubc.ca/smartlab ) drives his applied research agenda focusing on inclusive practices and mental health promotion. Analysis of his recent publications reveals consistent emphasis on SEL assessment tools, helicopter parenting dynamics, and diversity-inclusive frameworks in school psychology. Key trends include validation studies of early literacy screeners, exploration of LGBTQ+ mental health predictors, and critical examinations of equity in educational literature, reflecting his commitment to evidence-based social justice. His scholarly contributions have been recognized through: President’s Distinguished Faculty Research Award, University of Houston – Clear Lake (2020) Group Teaching Excellence Award, University of Houston (2011) Early Career Scholar, Society for the Study of School Psychology (2009) As an educator, Dr. Schanding has supervised numerous practicum and intern students across settings including school districts and hospital systems. His leadership extends to directing the Psychological Services and Counselling Training Centre at UBC and previously leading outreach initiatives for neurodevelopmental disabilities through the LEND program. His teaching portfolio includes EPSE 506 (Applied Psychopathology), EPSE 555 (Academic & Social-Emotional Assessment), and specialized courses on Autism Spectrum Disorders. The SMART Lab (Social, Mental health, and Academic Research Team) operates as his primary research vehicle, conducting community-engaged projects on SEL implementation, mental health screening, and culturally responsive interventions for diverse youth populations, with particular attention to inclusive practices for 2SLGBTQIA+ students.

Matias E. MargulisView profile

Associate Professor

• Global Governance of Food Security
• Agricultural Trade Liberalization
• Large-Scale Land Acquisitions
• +4 more

Matias E. Margulis is an Associate Professor at the University of British Columbia, jointly appointed between the Faculty of Land and Food Systems and the School of Public Policy and Global Affairs. His research explores the intersection of global governance, food security, and international trade, with a focus on regime complexity and power dynamics in multilateral institutions. Ph.D. in International Relations, McMaster University (2012) M.A. in Public Policy and Politics, University of Toronto (2003) B.A. (Honours) in Economics and Political Science, University of Toronto (2000) Postdoctoral Fellow, Max Planck Institute (2012-2013) His academic work investigates how food insecurity stems from human-made social, economic, and political systems, analyzing the role of international organizations like the WTO, UN, and EU in shaping trade and food policy. Recent publications examine regime entanglements, human rights in trade negotiations, and climate crisis impacts on food governance. Matias has received multiple accolades, including the Distinguished Academic Award (Early in Career, 2014) and the Cadieux-Léger Fellowship (2010-2011). He previously held academic positions at the University of Edinburgh, University of Stirling, and Max Planck Institute, and served as a Canadian representative to the WTO, OECD, and FAO. His expertise extends to advising the UN Special Rapporteur on the Right to Food and consulting for NGOs and the Brookings Institution.

• Memory
• Cognitive Control
• Neuroscience
• +5 more

Mikael Johansson is a Professor in the Department of Psychology at Lund University, where he leads research on the cognitive and neural bases of memory and cognitive control. His academic appointments include membership in eSSENCE: The e-Science Collaboration, LAMiNATE (Language Acquisition, Multilingualism, and Teaching), LU Profile Area: Proactive Ageing, and LU Profile Area: Natural and Artificial Cognition. With 159 research outputs and leadership in 18 projects (8 active), he maintains a prominent position in cognitive neuroscience research. His research focuses on the neural mechanisms of memory using behavioral, electrophysiological (EEG/ERP), and functional magnetic resonance imaging (fMRI) methods. Key interests include interactions between memory systems, formation and retrieval of episodic memories, emotion regulation and emotional memory, mechanisms underlying incidental and intentional forgetting, and the relationship between eye-movements, mental imagery and memory. His work has significant implications for understanding memory functions in psychiatric conditions such as depression and post-traumatic stress disorder. Analyzing his extensive publication record spanning from 2012-2025 reveals a consistent focus on memory mechanisms with increasing integration of eye-tracking methodologies and clinical applications. His research demonstrates an evolving trajectory from basic memory processes toward understanding memory in real-world contexts and clinical populations, with recent work emphasizing the role of eye movements in memory construction and the neural dynamics of memory integration. Mikael Johansson serves as a member of The Swedish National Committee for Psychological Sciences at the Royal Swedish Academy of Sciences since 2011 and has received significant research funding including from The Bank of Sweden Tercentenary Foundation, Swedish Research Council, and Stiftelsen Marcus och Amalia Wallenbergs Minnesfond. His current major projects include TEAM: Transdisciplinary Approaches to Learning, Acquisition, Multilingualism (2024-2029), Tracking cognitive change as a function of normal ageing and different types of degenerative disease, and How the brain constructs the present and reconstructs the past via sequences of eye movements. He leads the Lund Memory Lab where his team investigates how the brain constructs and maintains coherent episodic memories through eye movements. His research group actively collaborates with international partners across multiple disciplines, bridging cognitive psychology, neuroscience, and clinical applications. The lab's work has gained significant attention, with several publications being highlighted in news outlets and academic discussions.

Curt von KeyserlingkView profile

Associate Professor

• Quantum Many-Body Systems
• Topological Phases of Matter
• Quantum Information Theory
• +4 more

Dr. Curt von Keyserlingk is a Reader (equivalent to Associate Professor) in theoretical physics at King's College London, based in the Theory & Simulation of Condensed Matter Group within the Department of Physics, Faculty of Natural, Mathematical & Engineering Sciences. His research focuses on understanding complex quantum systems through both analytical and numerical approaches. His educational background includes an MMath from the University of Cambridge, followed by DPhil studies at the University of Oxford under Professor Steve Simon. Prior to his current position at King's, he held a postdoctoral research fellowship at the Princeton Center for Theoretical Science and was a lecturer at the University of Birmingham. Dr. von Keyserlingk's research centers on interacting quantum systems, studying exotic phenomena such as superconductivity, topological order, localization, and time crystallinity. His work bridges the gap between fundamental quantum mechanics and practical applications in quantum computing. He develops both analytical frameworks and numerical tools to understand how quantum systems evolve and behave under various conditions, with particular emphasis on non-equilibrium dynamics, quantum information processing, and topological phases of matter. His recent publications reveal a strong focus on quantum many-body systems, with particular attention to topological phases in three dimensions, operator dynamics in quantum systems, and the interplay between dissipation and quantum information. His work spans from fundamental theoretical questions about quantum thermalization to practical applications in quantum error correction and quantum computing architectures. Dr. von Keyserlingk is the recipient of a prestigious UKRI Future Leaders Fellowship, which supports his research on robust many-body quantum phenomena. His current projects include 'Robust Many-body Quantum Phenomena Through Driving And Dissipation' (2025-2028) and 'Robust many-body Quantum phenomena through Driving and Dissipation' (2022-2025). He actively supervises PhD students and runs the physics intercollegiate programme between King's College London and Royal Holloway, University of London. His research group focuses on developing new theoretical frameworks to understand quantum systems that could potentially be harnessed for quantum computing applications.

Víctor Adrián BrabermanView profile

Associate Professor

• Formal Verification
• Model Checking of Timed Systems
• Controller Synthesis
• +7 more

Víctor Adrián Braberman is a Full-time Associate Professor at the Department of Computer Science, Faculty of Exact and Natural Sciences, University of Buenos Aires (UBA), and a CONICET researcher. He serves as Co-director of the LaFHIS (Tools and Foundations for Software Engineering) Research Lab at UBA, where he leads significant research in formal methods and software engineering. His academic career demonstrates sustained excellence in both teaching and research within Argentina's premier academic institution. Braberman's research focuses on Formal Verification , particularly Model Checking of Timed Systems, Controller Synthesis, Formal Specification of event-based properties, Aspect-oriented modeling, and Software Architectures. His work also extends to Software Analysis , including Memory Consumption Prediction and Static and Dynamic Program Analysis. These interests position him at the intersection of theoretical computer science and practical software engineering applications, addressing critical challenges in system reliability and performance. His recent publications (2022-2025) reveal a clear trajectory toward integrating artificial intelligence with formal methods , particularly through the application of reinforcement learning to controller synthesis problems and the exploration of Large Language Models for software verification and falsification. The research shows increasing attention to scalability challenges in formal methods and the integration of probabilistic approaches to handle uncertainty in system environments. Automated Reasoning Amazon Research Award (ARA) (2024) Braberman has successfully supervised numerous PhD and Licentiate students, establishing a strong academic lineage in formal methods research in Argentina. His research has been supported by substantial grants including European Community projects (MEALS), ANPCyT PICT grants, UBACyT projects, and Microsoft Research funding. His leadership extends to directing major research initiatives in formal software engineering. As Co-director of LaFHIS, Braberman oversees a vibrant research ecosystem that bridges theoretical computer science with practical software engineering challenges. The lab maintains strong international collaborations, particularly with European institutions, and has secured competitive funding from both national and international sources, demonstrating the global relevance of their work in formal methods and software engineering.

• Fog Computing
• Cloud Computing
• Large-scale Distributed Systems
• +7 more

Guillaume Pierre is a Professor and research leader at Univ Rennes, affiliated with Inria, CNRS, and IRISA, where he leads the Magellan research team. He is based at the Institute of Science and Technology of Information and Communication (ISTIC), Department of Computer Science and Electronics. His research focuses on fog computing, cloud computing, and large-scale distributed systems, with applications in scalable web hosting and edge intelligence. Research Interests: Fog and Edge Computing Cloud Computing and Resource Management Scalable Web Application Hosting Peer-to-Peer and Decentralized Systems Stream Processing and Kubernetes Orchestration Elasticity and Energy Efficiency in Distributed Environments His recent publications highlight a strong trend in geo-distributed systems, particularly focusing on Kubernetes cluster federation, fog-based environmental monitoring, and elasticity in stream processing. His work bridges theoretical advances with practical implementations in real-world fog and cloud infrastructures. Scientific Awards: Best Paper Award, IEEE International Symposium on Applications and the Internet (2005) Best Paper Award, IEEE International Conference on Cloud Engineering (IC2E 2014) Guillaume Pierre has advised numerous PhD students, many of whom now hold positions at Google, Amazon, Ericsson, and Ansys. He has coordinated major research projects such as the H2020 FogGuru initiative and the DiPET project on distributed data stream processing. His work is supported by EU funding and institutional collaborations. Labs and Teams: He leads the Magellan research team at the INRIA/IRISA lab, which is at the forefront of innovation in fog and cloud computing technologies.

Sudhir KumarView profile

Professor

• Molecular Evolution
• Phylomedicine
• Functional Genomics
• +5 more

Sudhir Kumar is a Professor and Principal Investigator at Temple University, leading a research laboratory focused on molecular evolution, phylomedicine, and functional genomics. His lab develops mathematical methods, computational algorithms, and software packages for analyzing genomic variation across populations, pathogens, tumors, and species. Key contributions include the widely used MEGA software (www.megasoftware.net) for molecular evolutionary analysis and the TimeTree knowledge-base (www.timetree.org) that synthesizes evolutionary knowledge on species divergence times. Dr. Kumar's research interests center on integrating mathematical and computational techniques into evolutionary biology and biomedicine. His lab pursues a holistic paradigm where evolutionary and genomic patterns are discovered through comparative analysis of big datasets, then used to reveal underlying biological processes and develop predictive models. His work spans phylomedicine of genetic diseases, molecular phylogenomics, and the timetree of life, with recent innovations including Bayesian methods, machine learning algorithms, and statistical approaches for inferring molecular phylogenies, divergence times, and pathogenic mutations. Analysis of his recent publications reveals a strong trend toward applying artificial intelligence and machine learning to evolutionary genetics, with multiple 2025 papers focused on sparse learning techniques, transformer-based models, and AI-assisted analytical protocols. His work increasingly bridges evolutionary biology with cancer genomics and precision medicine applications. His scientific achievements have been recognized with the prestigious 2025 George W. Beadle Award from the Genetics Society of America, which honors his "efforts to democratize evolutionary genetics." Dr. Kumar has mentored numerous doctoral candidates, postdoctoral researchers, and graduate students, many of whom have gone on to faculty positions at institutions including Oakland University and universities in Brazil. His lab includes current doctoral candidates working in bioinformatics and statistical molecular evolution, supported by technical staff including programmers, genome tech specialists, and informatics specialists. The Kumar Laboratory operates as an interdisciplinary research hub with multiple projects including MEGA (Molecular Evolutionary Genetics Analysis), TimeTree, myPEG (web-based evolutionary tools), and FlyExpress (a knowledge base for Drosophila melanogaster embryo images). The lab emphasizes green computing efforts aimed at democratizing scientific practice and making big data analytics more accessible.

Sean B. AnderssonView profile

Professor

• Optimal Estimation
• System Identification
• Single Particle Tracking
• +4 more

Sean B. Andersson is a Professor in the Department of Mechanical Engineering at Boston University's College of Engineering. His research focuses on optimal estimation, system identification, single particle tracking, robotics, and control theory. He earned his Ph.D. from the University of Maryland, College Park. Education : Ph.D. in Mechanical Engineering (University of Maryland, College Park) His work integrates control algorithms with applications in microscopy, nanofabrication, and multi-agent systems. Recent research trends highlight persistent monitoring, trajectory optimization, MRI reconstruction, and dip-pen nanolithography. He has mentored numerous graduate and undergraduate students, many of whom now hold positions at institutions like MIT Lincoln Labs, University of Pennsylvania, and Juniper Networks. Scientific Contributions : Developed robust multi-agent control policies for data harvesting Advanced single particle tracking with real-time feedback Innovated in non-raster scanning probe microscopy Optimized sensor scheduling via minimax and semidefinite programming His lab team combines theoretical and applied research in robotics and control systems, with alumni contributing to academia, industry, and research labs globally.

Lucy ArendtView profile

Professor

• Disaster Management
• Organizational Behavior
• Leadership
• +3 more

Lucy Arendt serves as Professor of Business Administration – Management and Co-Director of the Center for Exceptional Leadership at St. Norbert College's Schneider Business School, where she teaches organizational behavior, leadership, and strategic management at undergraduate and graduate levels. Her global teaching initiatives include leading student cohorts to Europe for leadership studies and Mexico for international business immersion since joining the institution in 2016 after 26 years at UW-Green Bay. Her educational credentials include a B.S. and M.S. from the University of Wisconsin-Green Bay and a Ph.D. from the University of Wisconsin-Milwaukee. B.S., University of Wisconsin-Green Bay M.S., University of Wisconsin-Green Bay Ph.D., University of Wisconsin-Milwaukee Dr. Arendt's research centers on decision-making dynamics within disaster contexts, spanning mitigation through recovery phases. Her fieldwork across 15+ disaster zones—from New Orleans post-Katrina to Nepal's earthquake aftermath—examines how formal and informal leaders drive organizational and community resilience. This interdisciplinary work bridges business strategy with emergency management, emphasizing leadership's role in crisis navigation and long-term recovery. Her publication trajectory reveals evolving focus from early humor studies in organizational behavior toward comprehensive disaster resilience frameworks. Recent works analyze transformational leadership failures (2024), tornado recovery systems (2023), and engineered resilience metrics like the PEOPLES framework (2016), demonstrating consistent integration of organizational theory with real-world disaster response challenges across healthcare, infrastructure, and community systems. Notable recognition includes the UW-Green Bay Founders Association Award for Excellence in Teaching (2008-09) and a University Award for Collaborative Achievement (2013-14) for innovative international education programming. UW-Green Bay Founders Association Award for Excellence in Teaching (2008-09) UW-Green Bay Teaching Award for Experienced Teacher (2010) University Award for Excellence in Collaborative Achievement (2013-14) Her advisory impact extends through FEMA and NIST consultations, federal earthquake hazards committee leadership, and the Housner Fellows Leadership Development Program. She has directed disaster-reconnaissance teams for EERI across four continents, translating field insights into policy recommendations for governmental and nonprofit entities including Procter & Gamble and the U.S. Chamber of Commerce. As EERI board secretary/treasurer and federal Advisory Committee chair, she drives cross-sector collaboration on seismic safety standards. Her Center for Exceptional Leadership initiatives foster student development through experiential learning, while ongoing research partnerships with international agencies advance community resilience metrics for global disaster-prone regions.

Dominique J. BakerView profile

Associate Professor

• Education Policy
• Higher Education
• Equity in Education
• +5 more

Dominique J. Baker is an Associate Professor with a joint appointment in the College of Education and Human Development and the Joseph R. Biden, Jr. School of Public Policy and Administration at the University of Delaware. She holds the John and Patricia Cochran Scholar of Inclusive Excellence endowed position, reflecting her commitment to equity and inclusivity in education. Degrees: PhD in Higher Education Leadership and Policy Studies (2016), Vanderbilt University MEd in Student Affairs Practice in Higher Education (2012), University of Virginia BA in Psychology (2008), University of Virginia Research Focus: Dr. Baker's work examines how education policy affects access and success for minoritized students in higher education. Key areas include financial aid structures, admissions policies, campus climate inclusivity, and systemic racial disparities. She employs both quantitative and qualitative methods to analyze policy impacts. Article Trends: Her recent publications (2023-2025) emphasize racial and class disparities in college applications, state financial aid mechanisms, funding formulas for public institutions, media representation of student debt, and policy responses to systemic inequities. Methodological approaches include latent class analysis, NLP-driven application reviews, and comparative policy analysis. Scientific Recognition: AERA Early Career Award (2023) Diverse: Issues in Higher Ed - Top 40 Women in Higher Education (2025) Association for Education Finance and Policy Early Career Award ASHE Excellence in Public Policy Award National Academy of Education/Spencer Foundation Postdoctoral Fellowship Public Engagement: Dr. Baker has testified before the US Senate on race and student loans, serves on the National Academies of Sciences, Engineering, and Medicine - Board on Higher Education and Workforce , and her work appears in The New York Times , The Washington Post , and NPR .