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Matthew Santa serves as Professor of Music Theory and Chair of the Music Theory and Composition Area at Texas Tech University School of Music, with prior teaching appointments at Queens College and Hunter College. His leadership shapes curriculum development and academic initiatives within the department. Academic credentials include advanced degrees from Louisiana State University and The City University of New York, establishing foundational expertise in theoretical frameworks and analytical methodologies. Research focuses on post-tonal analysis , diatonic set theory , and parsimonious voice leading , bridging complex theoretical concepts with practical pedagogy. His work integrates popular music analysis and metrical studies, emphasizing accessibility for diverse learners through innovative teaching resources. Publications demonstrate evolving scholarly trends from late-20th century set theory toward contemporary applications in musical form and rhythm. Recent textbooks synthesize Rothstein, Krebs, and Mirka's theories into unified analytical approaches for undergraduate and graduate education. Scientific recognition includes: MTSNYS Young Scholar Award (1998) Mentorship encompasses graduate and undergraduate students across composition and theory disciplines, though specific advisees aren't documented in source materials. No grant funding details appear in available records. Collaborative projects include the Flute/Theory Workout series with Lisa Garner Santa and Thomas Hughes, blending performance technique with theoretical concepts through MIDI accompaniment systems.

• Music Theory
• Post-Tonal Analysis
• Diatonic Set Theory
• +4 more

Andrew McCallum is a Distinguished Professor and Director of the Center for Data Science at the University of Massachusetts Amherst. He holds a PhD in Computer Science from the University of Rochester (1995) and a BS from Dartmouth College (1989). His research focuses on machine learning, natural language processing, and information extraction, with applications to scientific literature and knowledge base construction. He has pioneered work on conditional random fields and probabilistic databases, and led the development of systems like Rexa, an advanced research paper search engine. Affiliations: Center for Data Science, Center for Intelligent Information Retrieval, Computational Social Science Institute Key Projects: OpenReview.net, Unified Information Extraction, Automated Knowledge Base Construction His work emphasizes extracting actionable knowledge from unstructured text, with contributions to social network analysis, entity resolution, and semi-supervised learning. McCallum has over 300 publications and has received awards including the NSF ITR Grant, IBM Faculty Partnership Awards, and ACM/AAAI Fellowships. He has advised numerous students and served as ICML General Chair (2012). Recent Research Trends: Probabilistic box embeddings, case-based reasoning for knowledge bases, scalable clustering algorithms, and applications in biomedical informatics.

• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• +3 more

Betsey Stevenson is a Professor of Economics (Courtesy) and Professor of Public Policy at the University of Michigan. She holds affiliations with the National Bureau of Economic Research (NBER), Centre for Economic Policy Research (CEPR), and Ifo Institute for Economic Research. Her research focuses on labor markets, public policy, and the intersection of family dynamics with economic forces. She served as a member of President Obama's Council of Economic Advisers (2013-2015), Chief Economist of the U.S. Department of Labor (2010-2011), and on the Biden-Harris Transition team. Education: B.A. in Economics and Mathematics from Wellesley College; M.A. and Ph.D. in Economics from Harvard University. Research interests include women's labor market experiences, family economics, and policy impacts on employment and well-being. Notable contributions include analyses of the gender pay gap, Title IX's effects on sports participation, and the economic consequences of divorce laws. She co-hosts the podcast Think Like an Economist and co-authored a Principles of Economics textbook. Scientific Awards: Elected member of the National Academy of Social Insurance; Research Fellowships at NBER, CEPR, and Ifo Institute. Grants and Advising: Extensive policy advisory roles, including contributions to U.S. Treasury policy development. Her work frequently appears in major media outlets. Labs/Teams: Collaborates with interdisciplinary teams at the University of Michigan and national research institutions.

• Labor Economics
• Public Policy
• Economics of Education
• +3 more

Abigail Jacobs is an Assistant Professor at the University of Michigan , jointly appointed in the School of Information and the College of Literature, Science, and the Arts . She is also affiliated with the Center for Ethics, Society, and Computing (ESC) and the Michigan Institute for Data Science (MIDAS) . Education: PhD in Computer Science, University of Colorado Boulder (2015-2019) BA in Mathematical Methods in the Social Sciences and Mathematics, Northwestern University (2011-2015) Research Interests: Dr. Jacobs examines measurement and validity in machine learning , focusing on hidden assumptions in AI systems, governance structures in sociotechnical systems, and inequality in algorithmic design. Her work bridges AI, data science, and social science methodologies, emphasizing interdisciplinary collaboration. Recent Publications (2024-2025) explore generative AI evaluation, algorithmic transparency in government (e.g., US Census Bureau), motion capture data ethics, and sociotechnical frameworks for AI governance. Earlier works (2023) address fairness in ranking systems and racial categorization in algorithmic bias studies. Scientific Awards: Microsoft Research AI & Society Fellowship (2024) NSF Graduate Research Fellowship (during PhD) Advising & Grants: She co-advises Ph.D. students Amina Abdu and Meera Desai . Her research includes a Notre Dame-IBM Tech Ethics Lab grant on AI audits and collaborations with institutions like UC Berkeley, Microsoft Research, and the National Academies .

• Artificial Intelligence
• Computational Social Science
• Data Science
• +6 more

Libby Gerard is an Associate Adjunct Research Professor at the University of California, Berkeley School of Education and a Research Director for the Technology-Enhanced Learning in Science (TELS) Center. Her work focuses on leveraging innovative technologies to enhance science education through student idea capture, automated assessment, and teacher professional development. Doctorate in Educational Leadership (EdD), Mills College (2008) Bachelor’s in English Literature and Philosophy, Emory University (2000) Her research emphasizes: Automated scoring of student essays using NLP to improve science explanations Real-time instructional customization using embedded assessment data Technology-driven professional development for teachers and principals Social justice integration in science pedagogy Collaborative revision frameworks for inquiry-based learning K-12 education adaptation during the pandemic Recent publications highlight trends in educational technology for science learning, with a focus on NLP applications, interactive inquiry modules, and equitable teaching practices. She has authored studies in journals like Science , Review of Educational Research , and Computers & Education , often exploring how automated systems can enhance teacher-student dynamics. Scientific Awards : Best Paper Award at the AI4EDU Workshop (AAAI Conference, 2020) Libby leads funded projects such as: TIPS (NSF, 2021-2025): NLP for science education ARISE (Hewlett Foundation, 2020-2023): Anti-racism in science education STRIDES (NSF, 2018-2022): Responsive instruction for science teachers PLANS (NSF, 2015-2020): Automated learning support systems She contributes to teacher training through courses like Research Methods for Science Teachers and Apprentice Teaching in Science , emphasizing data-driven pedagogy and inquiry-based instruction.

• Science Education
• Educational Technology
• Natural Language Processing
• +3 more

Daniel Varon is the Boeing Assistant Professor in Aeronautics and Astronautics at MIT, joining in July 2025. He is also affiliated with the MIT Institute for Data, Systems, and Society (IDSS). His research focuses on atmospheric composition, satellite remote sensing of greenhouse gases, and air pollution. Varon holds a PhD in Atmospheric Chemistry from Harvard University (2020), an MSc in Applied Mathematics, and dual undergraduate degrees in English Literature and Physics from McGill University. He has held postdoctoral roles at Harvard and Princeton University. His work uses satellite data to quantify methane and nitrogen oxide emissions, with applications in climate policy and environmental monitoring. Notable contributions include developing methods for detecting methane super-emitters via hyperspectral satellites and quantifying emissions from oil/gas fields. Varon has received over 3,000 citations and an h-index of 24 as of 2025, with extensive media coverage for his Nord Stream pipeline leak analysis. Varon has secured grants totaling $785K, including NOAA funding for geostationary satellite methane monitoring. He mentors postdocs and graduate students in satellite data analysis and machine learning applications. His teaching includes Harvard’s Atmospheric Chemistry course, where he received the Harvard Certificate of Distinction in Teaching. Varon serves as an Associate Editor for Atmospheric Measurement Techniques and contributes to initiatives like the Methane Emissions Detection Using Satellites Assessment (MEDUSA) Advisory Board. His lab focuses on integrating machine learning with satellite data to advance climate science.

• Atmospheric Science
• Environmental Science
• Satellite Remote Sensing
• +3 more

Yakov Pesin is a Distinguished Professor of Mathematics at Pennsylvania State University, affiliated with the Department of Mathematics and serving as Director of the Anatole Katok Center for Dynamical Systems and Geometry. He holds positions in the Eberly College of Science. His research focuses on Dynamical Systems, Ergodic Theory, Riemannian Geometry, and Mathematical Physics. Born in Moscow, he earned an MS from Moscow State University (1970) and a PhD from Gorky State University (1979). He has been a member of prestigious academies, including the American Academy of Arts and Sciences and the European Academy. His work includes seminal contributions to nonuniform hyperbolicity theory and entropy analysis. His research interests emphasize the interplay between dynamics, geometry, and statistical physics, with notable studies on SRB measures, Lyapunov exponents, and geometric flows. Awards include the Michael Brin Prize in Dynamical Systems and the inaugural Fellow of the American Mathematical Society. Pesin has advised multiple students and collaborators, though specific names are not listed. He directs the Katok Center, fostering interdisciplinary research. His publications (15 most recent listed) explore topics like thermodynamic formalism, hyperbolicity, and entropy, reflecting his leadership in dynamical systems theory.

• Dynamical Systems
• Ergodic Theory
• Riemannian Geometry
• +3 more

Henry F. (Hank) Korth is a Professor of Computer Science and Engineering at Lehigh University, with a courtesy appointment in the Department of Decision and Technology Analytics in the College of Business. He serves as Director of the Blockchain Lab in the Center for Financial Services and Co-Director of the Computer Science and Business Program. Korth is a Fellow of the ACM and IEEE, and a recipient of the VLDB 10-Year Award and Bell Labs President's Silver Award for contributions to database technologies. PhD in Computer Science from Princeton University MA, MSE in Computer Science from Princeton University BA in Mathematics from Williams College Korth's research spans database systems, blockchain systems, distributed systems, and real-time systems. He has pioneered transaction management in parallel and distributed systems, query processing, and the impact of modern computing architectures on database performance. His recent work focuses on blockchain applications in enterprise databases, including acceleration of zero-knowledge proofs, benchmarking frameworks, central-bank digital currencies, and private-yet-provable accounting systems. His contributions are rooted in both theoretical advancements and practical implementations, such as the QTM™ aggregation engine and the DataBlitz™ main-memory storage manager. Scientific awards include: ACM Fellow IEEE Fellow 10-Year Award at the VLDB Conference Bell Labs President's Silver Award Korth actively supervises research within the Blockchain Lab and is affiliated with the Scalable Software Systems Research Group at Lehigh. His scholarly output reflects a deep engagement with blockchain benchmarking, concurrency control, verifiable databases, and the evolution of database systems in response to technological shifts.

• Database Systems
• Blockchain Systems
• Distributed Systems
• +7 more

Laura Ascenzi-Moreno serves as Professor of Bilingual Education and Bilingual Program Coordinator in the Childhood, Bilingual and Special Education Department at Brooklyn College, City University of New York (CUNY), School of Education. Her academic leadership focuses on developing educators capable of serving linguistically diverse student populations through equity-centered pedagogical frameworks. Her educational foundation includes a B.A. in Anthropology and Education from Swarthmore College (1994), an M.A. in Individualized Studies in Education from Harvard Graduate School of Education (1999), New York State Permanent Certification for PreK-6 (2002), a Bilingual ESL and Teacher Leadership Program from Bank Street College (2004), and a Ph.D. in Urban Education from CUNY Graduate Center (2012). Dr. Ascenzi-Moreno's research pioneers translanguaging applications across literacy instruction, assessment, and computational learning environments. She investigates how emergent bilinguals' linguistic repertoires can transform reading development, teacher knowledge construction, and multimodal assessment practices. Her work consistently centers equity through frameworks like syncretic reasoning and accompáñamiento, challenging deficit ideologies while promoting asset-based approaches to multilingual education. Analysis of her 2020-2024 publications reveals an accelerating interdisciplinary trajectory where translanguaging principles increasingly intersect with computer science education. This evolution demonstrates strategic expansion from foundational literacy research into computational literacies, with growing emphasis on co-design methodologies and teacher agency in developing multilingual CS curricula. Her scientific recognition includes the 2024 NCTE Outstanding Elementary Educator Award, Language Arts Distinguished Article Award, and major NSF grants totaling $1.3 million for computational literacy projects. Additional honors encompass Fulbright Scholarship work in Colombia, PSC-CUNY research awards, and Westinghouse Science Talent Search distinction. As Principal Investigator of NSF-funded PiLa-CS and former CUNY-NYSIEB Associate Investigator, she secures substantial grant support while mentoring teacher candidates. Her service includes NCTE Elementary Steering Committee leadership (2022-2026), journal reviewing, and Brooklyn's New York Teacher Table participation addressing educator recruitment/retention. Dr. Ascenzi-Moreno co-directs the Participating in Literacies in Computer Science project and maintains active collaboration with NYC schools through translanguaging professional development initiatives. Her work with the CUNY-NYSIEB project established foundational frameworks now implemented across New York bilingual programs.

• Bilingual Education
• Translanguaging
• Biliteracy
• +7 more

Professor Byung S. Lee is a distinguished faculty member in the Department of Computer Science at the University of Vermont's College of Engineering and Mathematical Sciences. He joined UVM in 1999 and continues to be actively engaged in teaching, research, and service. His office is located in Innovation Hall at the Burlington campus, where he maintains regular office hours and oversees his research lab. Professor Lee holds a Ph.D. from Stanford University, an MS from Korea Advanced Institute of Science and Technology, and a BS from Seoul National University. His educational background provided the foundation for his extensive career in computer science research and education. Professor Lee's research spans multiple domains within computer science, with a particular focus on database systems, data mining, and data science. His work increasingly integrates machine learning techniques with traditional database approaches, especially in the analysis of time series data. He has made significant contributions to graph theory applications, anomaly detection methods, and environmental data analysis. His research often bridges computer science with practical applications in healthcare, environmental science, transportation, and astrophysics through interdisciplinary collaborations. An analysis of his recent publications reveals a strong trend toward time series analysis and anomaly detection, particularly applied to environmental monitoring and healthcare data. His work demonstrates a consistent evolution from foundational database research to more applied machine learning approaches, with increasing emphasis on real-world problem solving across multiple scientific domains. Professor Lee has served as primary advisor for numerous graduate students across multiple cohorts, including PhD candidates, Master's students, and postdoctoral researchers. His advising portfolio reflects the breadth of his research interests, with students working on topics ranging from graph neural networks to medical informatics applications. He has also been actively involved in professional service, serving on program committees for major conferences including SAC, PAKDD, DASFAA, and CIKM. Professor Lee leads a vibrant research laboratory that focuses on cutting-edge data science methodologies and their applications. His team collaborates extensively with researchers in environmental science, hydrology, and healthcare, demonstrating the interdisciplinary nature of modern data science research. The lab maintains active projects in time series analysis, graph analytics, and environmental monitoring systems, often working with large-scale datasets from real-world applications.

• Database
• Data Mining
• Data Science
• +5 more

Christopher Honey is an Associate Professor in the Department of Psychological & Brain Sciences at Johns Hopkins University, affiliated with the Krieger School of Arts & Sciences. His research focuses on computational cognitive neuroscience, exploring how the brain processes sequential information such as language and memory. He holds a PhD from Indiana University and has held positions at Princeton University and the University of Toronto before joining JHU in 2016. Education: PhD in Psychological and Brain Sciences, Indiana University Postdoctoral Fellowship at Princeton University with Uri Hasson Bachelor’s in Applied Mathematics and English Literature, University of Cape Town Research Interests: Neural dynamics of memory and perception Temporal processing in the brain Cognitive modeling using computational methods Neuroimaging data standards (e.g., BIDS) Publications highlight his work on brain state fluctuations, neuroimaging data structures, and memory enhancement. His lab develops tools for analyzing fMRI and EEG data, emphasizing real-world applications like smartphone-based cognitive interventions. Lab and Collaborations: Active projects on narrative processing and hippocampal replay Development of open-source neuroscience tools like iELVis Focus on translational research for aging populations

• Computational Neuroscience
• Cognitive Neuroscience
• Neural Dynamics
• +3 more

Jodi Schneider is an Associate Professor at the University of Illinois Urbana-Champaign , with affiliate appointments at the Beckman Institute , Health Care Engineering Systems Center , European Union Center , and Center for Health Informatics . She directs the Information Quality Lab and focuses on the science of science through argumentation and evidence analysis. PhD in Informatics (National University of Ireland, Galway) M.S. in Library and Information Science (UIUC) M.A. in Mathematics (UT-Austin) B.A. in Liberal Arts (St. John's College) Her research examines how scientific controversies persist through citation patterns, the role of knowledge brokers in public policy, and information quality in biomedical contexts. She has developed semantic frameworks for micropublications and knowledge maintenance in digital libraries. Recent publications include citation integrity studies in Scientometrics , retraction indexing in STI Conference , and argumentation mining in Human Language Technologies . Collaborative projects span institutions like Harvard Radcliffe Institute and RWTH Aachen . NSF CAREER Award IMLS Early Career Award Senior Member, Association of Computing Machinery Marie Curie Fellow She advises graduate students in information quality and knowledge representation , with funding from the Alfred P. Sloan Foundation , NIH , and European Commission . Her lab develops tools to combat scientific misinformation and improve public health informatics .

• Controversies in Science
• Science of Science
• Argumentation and Evidence
• +12 more

Charles Fine is the Chrysler Leaders for Global Operations Professor of Management at MIT Sloan School of Management and concurrently serves as CEO, President, and Dean of the Asia School of Business (ASB) in Kuala Lumpur since 2015. He holds an AB in Mathematics and Management Science from Duke University, MS in Operations Research, and PhD in Business Administration from Stanford University. His research focuses on supply chain strategy, value chain roadmapping, and operations management in fast-clockspeed industries such as automotive and aerospace. He has pioneered frameworks for strategic innovation, entrepreneurial operations, and urban mobility systems. Key contributions include the concept of 'clockspeed' in industry dynamics and co-authoring Clockspeed (1998) and Faster, Smarter, Greener (2017). Fine co-directs MIT Sloan’s Driving Strategic Innovation executive program with IMD, Switzerland. He previously served on the board of Greenfuel Technologies, a biotech startup he co-founded. His work has been published in top journals like Management Science , Production and Operations Management , and Interfaces . Recent research highlights include analyzing unintended consequences of automated vehicles and exploring supply chain strategies for market expansion through O2S (Online-to-Store) models. He advises global corporations on supply chain resilience, value chain design, and innovation scaling.

• Supply Chain Strategy
• Operations Management
• Value Chain Roadmapping
• +4 more

Nicholas Henriksen is an Arthur F. Thurnau Professor and Professor of Spanish & Linguistics at the University of Michigan, where he has held faculty positions since 2012. His research focuses on laboratory phonology, experimental phonetics, sociophonetics, and intonational grammar in Spanish and other Romance languages. Notable projects include studies on sound change in Andalusian and Patagonian Spanish, bilingualism (Afrikaans-Spanish), and second language speech learning. He directs the Michigan Speech Production Lab and co-leads initiatives integrating gender-diverse language into Romance curricula. Henriksen earned a PhD in Linguistics from Indiana University (2010), MA in Hispanic Linguistics (2006), and BA in Spanish/Mathematics from Rutgers (2003). His teaching spans undergraduate and graduate courses in Spanish linguistics, sociolinguistics, and phonetics, emphasizing applied research and pedagogical innovation. He has received prestigious awards, including the LSA Early Career Award (2021) and the Class of 1923 Teaching Award (2018). His research has been funded by grants from the University of Michigan ADVANCE Program and the Humanities Collaboratory, supporting projects like From Africa to Patagonia: Voices of Displacement . Collaborations include work with scholars in Argentina, South Africa, and Spain, examining language contact, heritage language maintenance, and sociolinguistic identity. Publications span over 30 peer-reviewed articles and book chapters, with a focus on phonetic variation, intonation, and bilingualism. He mentors graduate students in experimental phonetics and sociolinguistics, with advisees contributing to studies on Andalusian Spanish, heritage language acquisition, and voice quality.

• Linguistics
• Phonetics
• Sociophonetics
• +5 more

Lara C. W. Blanchard is the Luce Professor of East Asian Art and Lloyd Wright Professor in Conservative Studies at Hobart and William Smith Colleges, where she has been a faculty member since 2001. She holds a Ph.D. in Art History from the University of Michigan and specializes in Chinese pictorial arts from the Song dynasty to the present. Her interdisciplinary research integrates art history, gender studies, and literary analysis. Her education includes: Ph.D., Art History, University of Michigan (2001) M.A., Art History, University of Michigan (1992) B.A., Art History and Mathematics, College of William & Mary (1988) Her research focuses on gender in Chinese art, particularly women as artists and patrons, text-image relationships, and the construction of gendered subjectivity in painting and poetry. She examines how visual culture reflects and constructs ideals of femininity and masculinity, especially during the Song dynasty. Her work often bridges art historical analysis with literary and philosophical contexts, emphasizing interdisciplinary approaches. Her recent publications and lectures reveal a strong trend in analyzing emotional interiority, political allegory, and gendered representation in East Asian visual culture. She frequently explores how poetic themes are visualized in painting and how female subjectivity is constructed across historical periods. Her scientific awards include: 2020 Joseph Levenson Pre-1900 Book Prize (China) 2016 Franklin R. Buchanan Prize for Asia Curriculum Materials 2020 Faculty Prize for Scholarship, HWS Lloyd Wright Professorship in Conservative Studies (2018–) Lara Blanchard has been actively involved in mentoring through curriculum development, textbook authorship, and graduate advising. She has received multiple research grants from Hobart and William Smith Colleges and external foundations such as the Freeman Foundation. Her collaborative projects, such as the textbook Asian Art , demonstrate her commitment to pedagogy and accessible scholarship. She is affiliated with several academic organizations, including the Association for Asian Studies, College Art Association, and Cornell University’s East Asia Program as an Associate in Research. She has delivered lectures at institutions like Stanford, Princeton, and the University of Kansas, and has participated in panels and symposia on gender, Buddhism, and visual culture in Asia.

• Chinese Art History
• Gender and Art
• Song Dynasty Painting
• +7 more