جست‌وجوی استاد و پژوهشگر

Andrew P. Dicksمشاهده پروفایل

استاد آموزشی

• Chemistry Education
• Green Chemistry
• Sustainable Lab Practices
• +۵ مورد دیگر

Andrew P. Dicks is a Teaching Professor in the Department of Chemistry at the University of Toronto, serving as Associate Chair for Undergraduate Studies. His work focuses on transforming chemistry education through green laboratory practices, sustainable curricula, and innovative pedagogical strategies. He has spearheaded the redesign of undergraduate organic chemistry labs to emphasize microscale experiments, green chemistry principles, and collaborative learning. His research explores methods to integrate the United Nations Sustainable Development Goals into education and has been recognized with the ACS-CEI Award for an undergraduate catalytic chemistry course. Dr. Dicks’ administrative contributions include mentoring faculty and developing programs like the Chemistry Teaching Fellowship. He advocates for teaching assistant training, writing instruction, and student learning communities. His lab initiatives emphasize real-world relevance, using waste materials (e.g., McDonald’s cooking oil) and natural media (citrus juice) to demonstrate chemical principles. Notable research themes include solvent-free reactions, energy-efficient microwave techniques, and metrics for evaluating reaction greenness. His articles highlight trends in green chemistry education, pandemic-driven pedagogical adaptations, and interdisciplinary approaches to materials science. Awards include the ACS-CEI Award, reflecting his impact on advancing sustainable chemistry education globally. Dr. Dicks also champions humor and puzzles in science communication to engage learners and foster a culture of curiosity.

John Whitneyمشاهده پروفایل

دانشیار

• Human-safe robotics
• Medical robotics
• Soft robotics
• +۵ مورد دیگر

John Whitney is an Associate Professor in the Department of Mechanical and Industrial Engineering at Northeastern University's College of Engineering. He joined the university in January 2016. His research focuses on human-safe robotics, medical robotics, soft robotics, MEMS, microrobotics, and bio-inspired design, with a particular emphasis on flapping aerodynamics and insect flight mechanisms. He has led major research initiatives including the National Science Foundation-funded 'Controllable Compliance' robotic arm project and Office of Naval Research projects on haptic manipulators for explosive ordnance disposal. Whitney holds a PhD in Engineering Sciences from Harvard University (2012) and an SM in Aeronautics and Astronautics from MIT (2006). He is affiliated with Northeastern's Institute for Experiential Robotics and has contributed to advanced systems like the ANA Avatar XPRIZE robotic avatar. His work integrates interdisciplinary approaches combining mechanical engineering, control systems, and biomedical applications. Education: PhD in Engineering Sciences, Harvard University, 2012 SM in Aeronautics and Astronautics, MIT, 2006 Awards: 2023 Impact Award Finalist, International Conference on Robotics and Automation 2022-2023 College of Engineering Faculty Award Recipient His research spans teleoperation systems, haptic feedback mechanisms, and soft material manufacturing. Notable projects include a MR-safe haptic system for prostate biopsies and a novel robotic arm for contact-rich environments. His lab's work on flapping-wing microrobots draws inspiration from insect flight dynamics to improve micro air vehicle (MAV) performance. Whitney advises teams like the Northeastern Mars Rover Team and ANA Avatar XPRIZE finalists, demonstrating his commitment to hands-on student engagement. His publications emphasize practical robotics solutions for medical, industrial, and exploratory applications.

Lisa Yanمشاهده پروفایل

استاد آموزشی

• Computer Science Education
• Computing Ethics
• Teaching Assistant Training
• +۲ مورد دیگر

Lisa Yan serves as a Teaching Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, appointed in Spring 2022. She teaches core computer science education courses including CS 195 (Social Implications of Computer Technology), CS H195 (Honors variant), CS 294-189 (Teaching Process Design), and CS 375 (Teaching Techniques), holding regular office hours in Soda Hall for student engagement. Her academic credentials include: PhD in Electrical Engineering from Stanford University (2019) MS in Electrical Engineering from Stanford University (2015) BS in Electrical Engineering and Computer Science from UC Berkeley (2013) Dr. Yan's research centers on data-driven analysis of student learning in large-scale computer science courses, with significant contributions to computing ethics pedagogy and teaching assistant development programs. Her work develops innovative methodologies for assessing student earnestness in interactive lectures, creating flexible learning extensions, and designing integrity-focused assessments. Earlier research focused on software-defined networking and network switch performance optimization, demonstrating technical depth before her pivot to educational innovation. Current projects emphasize scalable teaching techniques and mastery learning frameworks that address challenges in modern CS education. Analysis of her 14 publications (2013-2024) reveals a strategic shift from computer networking (pre-2018) to computer science education research (2018-present). Recent work (2020-2024) dominates in venues like SIGCSE, featuring tools such as Otter-Grader for Jupyter notebook grading and the Earnest Insight Toolkit for lecture participation analysis. This evolution highlights her commitment to solving practical educational challenges through data analysis and tool development, particularly for large undergraduate courses. She received recognition through: The Faculty Award for Outstanding Mentorship of GSIs (2024) Lisa actively mentors Graduate Student Instructors and collaborates with educational technology initiatives. Her research team includes dedicated support staff like Taylor Kaserman (taylor.kase@berkeley.edu), reflecting structured collaboration in developing teaching innovations. She contributes to curriculum design committees within EECS, focusing on assessment integrity and scalable pedagogical methods for growing student populations. Her work operates through the EECS department's educational infrastructure, utilizing Soda Hall resources for both teaching coordination and research development, with strong connections to Berkeley's broader computing education ecosystem.

• Comparative Education
• Global Citizenship Education
• Education Policy
• +۷ مورد دیگر

Miriam Lorente Rodriguez is a Professor in the Department of Comparative Education at the Faculty of Philosophy and Educational Sciences, University of Valencia, Spain. She is an active researcher in the GRECIA Comparative Education Research Group, focusing on global citizenship, educational rights, and policy in Latin America and Central America. Research Interests: Her work spans Comparative Education , Global Citizenship Education , Education as a Human Right , Teacher Induction , and SDG4 (Quality Education) . She critically examines educational policies, digital transformation in higher education, and teacher professional development, particularly in Latin American contexts. Her recent publications (2021–2025) reflect a strong trend toward analyzing UNESCO’s global citizenship agenda, the impact of digital tools during the pandemic, teacher coordination roles, and educational equity in Latin America. These works demonstrate a consistent focus on policy critique, comparative methodologies, and sustainable development in education. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: While no formal list of advisees or grants is provided, she completed her PhD on children's rights and education in Central America under the supervision of Dr. Luis Miguel Lázaro Lorente. Her research suggests active involvement in academic mentoring and collaborative projects, particularly within the GRECIA group. Labs and Teams: She is a key member of the GRECIA Comparative Education Research Group , contributing to collective research on international and comparative educational policies, with a focus on Latin America and global frameworks.

Dewei Yiمشاهده پروفایل

مدرس ارشد

• Computer Vision
• AI-enabled Healthcare
• Hybrid Intelligent Systems
• +۱۶ مورد دیگر

Dewei Yi is a Senior Lecturer (Associate Professor) in the Department of Computing Science, School of Natural and Computing Sciences at the University of Aberdeen, UK. He holds a PhD from Loughborough University and is an active researcher in AI, computer vision, and intelligent systems. He serves as Director of the MSc AI and MSc Robotics and AI programmes. Research Interests: His research spans AI-enabled healthcare, medical image processing, intelligent vehicles, robotics, precision agriculture, remote sensing, and applied machine learning. He focuses on hybrid intelligent systems, personalised AI, federated learning, fairness, and explainability. Recent Publication Trends: His latest work includes medical image quality evaluation using contrastive learning, federated learning for diabetic retinopathy, UAV-based solar panel inspection, vascular image analysis, and emotion recognition from ECG data, reflecting a strong trend toward healthcare and intelligent systems with real-world impact. Scientific Awards: Fellow of the Higher Education Academy (FHEA) Outstanding Reviewer, Transportation Research Part C (TRC) Advising and Grants: Dr Yi supervises multiple PhD students in AI, computer vision, and machine learning. His graduated PhDs include Debinal Bakyavathi Rajan, Sami Hamid Al Sulaimani, and Adinath Abhimanyu Ghadage. He has secured significant funding as PI and Co-PI, including a £408K Smartawl 5.0 project and a £794K Cancer Research UK grant (Co-PI). Labs and Teams: He leads research in AI for healthcare and intelligent vehicles, collaborating with institutions like University of Warwick, Loughborough University, and industry partners such as AVL Powertrain Ltd. His work is supported by interdisciplinary teams focusing on embedded AI, medical applications, and sustainable technologies.

Ga Young Chungمشاهده پروفایل

استادیار

• Critical Race Theory
• Racial Capitalism
• Asian Settler Colonialism
• +۱۲ مورد دیگر

Ga Young Chung is an Assistant Professor of Asian American Studies at the University of California, Davis, with affiliations in Cultural Studies, Human Rights Studies, East Asian Studies, and the School of Education. Her interdisciplinary scholarship critically examines racial capitalism, Asian settler colonialism, militarism, and social movements. Ph.D. in Global Studies in Education, University of Illinois at Urbana-Champaign M.A. and B.A. in Sociology, Yonsei University, South Korea Her research centers on the precarity and resistance of marginalized communities, particularly undocumented Korean immigrants and transnational agrocolonial histories. Chung employs ethnographic, archival, and community-engaged methods to explore how race, migration, and empire shape lives and futures. She is completing her first book, Unexpired: Race, Undocumented Youth Time, and Imperial Futurity (under contract with NYU Press), and developing a second on Korean soybeans and decolonial imaginations. Her recent publications span topics such as anti-racist elder education, militarized citizenship, and undocumented youth activism. The articles reflect a consistent focus on liberation, resistance, and the intersection of race, law, and education. She co-founded the Asian American Seed Stewards and leads transnational research on academic resilience and racialization in Korea. Faculty Development Award, UC Davis (2025) Emerging Scholar Award, Global Studies Research Network (2024) Ewha Global Fellow (2024) Hellman Fellows Award (2023) DHI Network-Collaboration Award (2022) Outstanding Achievement in Public Scholarship, UC Davis (2021) Diversity Scholar, University of Michigan (2020) Chung is a dedicated mentor and public scholar, having taught ethnic studies in community settings and advised numerous research initiatives. She serves as Chair of the Board at NAKASEC and on the board of the Friends of Education Justice Project, supporting immigrant justice and incarcerated people's access to education. Her work is supported by grants from the Social Science Research Council, National Research Foundation of Korea, and Academy of Korean Studies. She founded the interdisciplinary Asian American Seed Stewards collective and is co-investigator on two major transnational research projects: Resilient Academics: Re-imagining Academic Horizons and Race and Gender: Theorizing the New Racialization of the Asian Migrants in South Korea .

Susan Howickمشاهده پروفایل

استاد

• System Dynamics Modelling
• Operational Research
• Management Science
• +۱۰ مورد دیگر

Susan Howick is a Professor of Management Science and Vice-Dean (Academic) at Strathclyde Business School, University of Strathclyde. Her academic leadership and research are centered on system dynamics and decision support modelling, with applications in healthcare, energy, and public policy. Research Interests: System dynamics and hybrid modelling (SD & ABM) Integration of multiple modelling methods for decision support Disruption and delay analysis in complex projects Systemic risk evaluation in engineered and social systems Client-oriented modelling processes The recent publications show a strong trend towards interdisciplinary applications, particularly in health systems and Arctic search and rescue, often involving community-driven and culturally sensitive models. Her work increasingly combines Bayesian networks with system dynamics to support decision-making in uncertain, high-stakes environments. Scientific Awards: Operational Research Society Goodeve Medal (2001) EURO Prize for OR for the Common Good Finalist (2022) European Journal of Operational Research Editor's Choice Award (2021) Best Paper Award at 17th International Conference on Group Decision and Negotiation (2017) Elected to General Council of the OR Society (2018) Susan has supervised PhD students and served as co-investigator and principal investigator on multiple research projects, including those funded by EPSRC and GCRF. She has also delivered executive training for organizations such as Bombardier, PwC, and the Scottish Government, demonstrating strong industry engagement. Labs and Research Teams: She is actively involved in research groups focused on system dynamics, risk modelling, and decision support, collaborating with teams in healthcare (e.g., SSM - Health Systems), Arctic resilience (Nunavut Search and Rescue Project), and hybrid simulation. She contributes to the academic community through editorial roles in European Journal of Operational Research and System Dynamics Review .

Lea Hellmuellerمشاهده پروفایل

دانشیار

• Global Journalism
• Journalistic Role Performance
• Media and Terrorism
• +۷ مورد دیگر

Lea Hellmueller is Associate Dean of Research in the School of Communication & Creativity and Reader (Associate Professor) in the Journalism Department at City, University of London. She is also an Affiliated Researcher with the Violence & Society Centre. Previously, she served as Assistant Professor at the University of Houston and Texas Tech University, and was a visiting professor at the University of Zurich and visiting fellow at the Reuters Institute for the Study of Journalism, University of Oxford. Dr. Hellmueller holds a Ph.D. in Economics and Social Sciences from the University of Fribourg, Switzerland, with dissertation co-supervision from the University of Missouri-Columbia. She completed postdoctoral training at the University of Texas at Austin. Her research focuses on the role of media and journalism in a globalized world, particularly in areas such as global risk journalism, transnational reporting, journalistic role performance, media and social justice, and violence & media. Fluent in multiple languages, she brings a comparative and international perspective to her scholarship. Her recent publications explore transnational journalism, digital media discourse, journalistic cultures, credibility, and terrorism coverage. The articles reflect a strong trend toward computational and comparative analysis of global media practices, emphasizing power, identity, and the transformation of journalistic norms across borders. Faculty Research Award, AEJMC (2019) Honorary Mention, ICA Journalism Studies Division (2018) Outstanding Research Award, University of Houston (2018) First Place Teaching Contest, AEJMC (2016) Top Faculty Paper, AEJMC (2016) Top Paper Award, ICA (2016) Dr. Hellmueller has secured multiple competitive grants, including from the Swiss National Science Foundation (SNF) and Fulbright. She has supervised PhD students, currently mentoring Namrata Acharya. She serves on editorial boards of Journalism Practice and International Communication Gazette , and holds leadership roles in AEJMC and ICA. She is also the North America Regional Lead for the Global Risk Journalism Hub. She is active in collaborative research networks and has contributed to major reports, including with the Reuters Institute. Her work bridges academic research, policy, and global media practices.

Tara M. Sinclairمشاهده پروفایل

استاد

• Macroeconomics
• Labor Economics
• Econometrics
• +۷ مورد دیگر

Tara M. Sinclair is Professor of Economics and International Affairs and Chair of the Department of Economics at the George Washington University. She is also affiliated with the Elliott School of International Affairs through the Institute for International Economic Policy and the Institute for European, Russian, and Eurasian Studies. Additional affiliations include the GW Institute of Public Policy Research, the Regulatory Studies Center, and GW-CIBER. Sinclair has held influential public sector roles, including Deputy Assistant Secretary for Macroeconomics at the U.S. Department of the Treasury (2022–2024) and founding Chief Economist at Indeed Hiring Lab. PhD in Economics, Washington University in St. Louis (2005) AM in Economics, Washington University in St. Louis (2001) BA in Foreign Languages, Wheaton College (1996) Her research centers on macroeconomic fluctuations, labor market dynamics, forecasting, and the application of big data to economic analysis. She employs econometric and time series methods to model business cycles, evaluate forecast accuracy, and assess policy impacts. Her work connects academic research with real-world decision-making, particularly in labor markets and monetary policy. Sinclair frequently uses online job posting data to generate timely insights into employment trends. Her recent publications focus on post-pandemic labor market transformations, remote work persistence, forecast evaluation, and regulatory economics. She has published in top journals such as Labour Economics , Journal of Applied Econometrics , Oxford Bulletin of Economics and Statistics , and International Journal of Forecasting . Her research leverages real-time data to analyze topics like unemployment insurance claims, job mismatch, and global hiring trends. Scientific recognition includes membership in the Conference on Research in Income and Wealth (CRIW), the Federal Forecasters Consortium Governing Board, and authorship at VoxEU. She has served as a Special Government Employee on the Bureau of Labor Statistics Technical Advisory Committee. She advises and collaborates with numerous researchers and institutions. Her leadership roles include directing the GW Center for Economic Research (former) and leading research initiatives at Indeed Hiring Lab. She teaches graduate and undergraduate courses in macroeconomics and econometrics, and is frequently cited in major media outlets including the New York Times , Wall Street Journal , and Financial Times , and appears on networks such as CNN, NPR, and Bloomberg. Her research team includes collaborators from Federal Reserve Banks, international organizations, and academic institutions. She leads projects funded by GW-CIBER and contributes to policy reports for the U.S. Treasury and Indeed Hiring Lab.

Bronwyn Cahillمشاهده پروفایل

استاد پژوهشی

• Oceanography
• Remote Sensing
• Marine Biogeochemistry
• +۳ مورد دیگر

Dr. Bronwyn Cahill is a Senior Scientist and Research Group Leader leading the Integrated Optical Remote Sensing Research Group at the Leibniz Institute for Baltic Sea Research Warnemünde (IOW), Germany. Her interdisciplinary research integrates optical remote sensing, in situ data, data science, and bio-optical process modeling to address challenges in coastal and marine ecosystems, with a focus on land-ocean connectivity, underwater lightscapes, and biogeochemical cycles. Education: Ph.D. in Oceanography (2006) – University of Rhode Island, USA BSc (Honours) in Ocean Science (1993) – University of Plymouth, UK BA (Honours) in French and Philosophy (1989) – Trinity College Dublin, Ireland Research Interests: Her work centers on understanding how changing light climates impact marine ecosystems and carbon cycles. Key themes include optical remote sensing applications, climate change effects on coastal seas, marine heatwaves, phytoplankton dynamics, and the development of advanced biogeochemical models for marginal seas like the Baltic. Publication Trends: Her 15 most recent articles (2011-2025) predominantly explore marine biogeochemistry, climate impacts on coastal systems, and ocean-atmosphere interactions. Over 60% focus on Baltic Sea dynamics, employing modeling, remote sensing, and field data to analyze carbon fluxes, algal blooms, and ecosystem responses to environmental stressors. Projects & Grants: She leads several major initiatives: SEAGUARD (2025-2027): AI-driven seagrass adaptation research (BMUKN-funded) ISOLUME (2025-2028): Lightscape indicators in marine ecosystems (BMFTR-funded) KIVib Küste (2025-2026): AI-based Vibrio risk assessment (EFRE-funded) SkaMix-WMT (2025-2028): Water mass transformation in Skagerrak (DFG-funded) Leadership: Heads the Integrated Optical Remote Sensing Research Group at IOW, fostering collaborations across physical, biological, and chemical oceanography to advance predictive capabilities for marine environmental change.

Hilary Mossمشاهده پروفایل

دانشیار

• Music Therapy
• Health Humanities
• Arts and Health
• +۴ مورد دیگر

Hilary Moss is Associate Professor of Music Therapy at the Irish World Academy of Music and Dance, University of Limerick. She previously served as Director of the National Centre for Arts and Health at Tallaght University Hospital, Dublin, and holds Adjunct Assistant Professor status at Trinity College Dublin's School of Medicine. PhD in Music Therapy & Health Research (Trinity College Dublin Medical School) MBA in Health Service Management (University College Dublin) Graduate Diploma in Music Therapy (1996) BA (Hons) in Music (University of Reading) Her research focuses on interdisciplinary applications of music therapy for chronic pain , dementia care , and community health , with international collaborations. She pioneered telehealth music therapy for dementia patients and leads the Arts and Health Research Network at UL. Recent publications include 85+ research outputs (2003–2025) across music therapy, geriatric care, and interdisciplinary health humanities. Key projects involve singing for health , dance interventions , and student-led health research (expanding from 20 to 40 projects by 2027). Business2Arts award (2006) Health Service Executive Innovation Awards (2005) She mentors PhD students in music therapy and has grown UL's MA Music Therapy program from 7 to 18 students annually. Her work aligns with UL@50 Strategic Plan priorities for community engagement and interdisciplinary research .

• Computer Vision
• Machine Learning
• Medical Imaging
• +۴ مورد دیگر

Edward Delp is the Charles William Harrison Distinguished Professor of Electrical and Computer Engineering at Purdue University's College of Engineering. He holds affiliations with both the Department of Electrical and Computer Engineering and the Department of Biomedical Engineering. His research spans computer vision, medical imaging, and data forensics with a focus on synthetic media detection, deep learning applications, and healthcare technologies. Education: Not explicitly listed in the provided text. His work includes developing algorithms for speech forensics, microscopy image analysis, and food/nutrition assessment systems. He leads projects on synthetic speech detection, medical image segmentation, and automated crop disease measurement using RGB imaging. Delp collaborates across disciplines, integrating machine learning with healthcare and agricultural challenges. Recent work emphasizes ethical AI through fairness in synthetic media detection and explainable artifacts in biomedical imaging. He contributes to large-scale datasets like MetaFood3D and 3D nuclear segmentation frameworks for microscopy analysis. His grants and advising focus on interdisciplinary applications, though specific grant details are not provided. Delp is affiliated with the Purdue School of Biomedical Engineering and maintains active collaborations in medical imaging, computer vision, and aerospace anomaly detection.

• Networking and Operating Systems
• Information Security and Assurance
• Network Architecture and Protocols
• +۳ مورد دیگر

Sonia A. Fahmy is a Professor of Computer Science and Associate Department Head at Purdue University's Department of Computer Science (College of Science). She holds a PhD from The Ohio State University (1999). Her research focuses on network architectures, protocols, and security, with over 100 refereed publications. Key areas include virtual reality networking, cellular network optimization, and network experimentation tools like NFV-VITAL and ENVI. Her work is supported by NSF, DHS, industry partners, and she leads Purdue's CERIAS cybersecurity initiatives. Education: PhD in Computer and Information Science from The Ohio State University (1999). Research Interests: Network security, distributed systems, wireless sensor networks, and network function virtualization. Notable contributions include the HEED clustering algorithm and Contain-ed latency management system. Awards: NSF CAREER Award (2003), IEEE Fellow. Grants: NSF, DHS, AT&T, Cisco, Juniper, and Meta-funded projects. Professional service includes leadership roles in IEEE ICNP, INFOCOM, and editorial roles in top journals. Advising: Mentored over 20 PhD students and postdocs. Current advisees include Umakant Kulkarni and Yufeng Chen. Research teams collaborate with industry partners like Hewlett-Packard and Sandia National Labs. Labs/Teams: Active in Purdue's CERIAS, leading projects on secure network protocols and experimentation frameworks. Tools developed include EMIST, Testbed Mapping, and iHEED for sensor networks.

David Mohrigمشاهده پروفایل

استاد

• Sedimentary Geology
• Stratigraphy
• Geomorphology
• +۴ مورد دیگر

David Mohrig is a Professor in the Department of Earth and Planetary Sciences at the Jackson School of Geosciences, University of Texas at Austin, holding the Peter T. Flawn Centennial Chair in Geology. His research focuses on sedimentary deposits, transport processes, and the evolution of terrestrial and submarine landscapes. He employs laboratory experiments, field studies, and remote sensing to investigate channel formation, sediment dynamics, and subsurface deposits. Research Interests: Sedimentary Geology and Stratigraphy Geomorphology of Rivers, Deltas, and Coastlines Submarine Channels and Sediment-Gravity Currents Basin Analysis and Seismic Interpretation Key Contributions: Mohrig’s work integrates experimental methods with field observations to understand sediment transport mechanisms and their preservation in geological records. His research group has advanced understanding of fluvial and submarine processes, including deltaic deposits on Mars and coastal dynamics on Earth. Advising & Grants: Mohrig has advised numerous doctoral, master’s, and undergraduate students. He acknowledges support from grants like the IHS Markit Educational Grant for geoscience software. His lab facilities include state-of-the-art flumes and wind tunnels for sediment dynamics studies. Labs/Teams: The Mohrig Research Group uses specialized facilities such as the Deep Tank and 2D Wind Tunnel to simulate sediment transport and depositional processes. Collaborations span geology, engineering, and planetary science.

Rebecca Nugentمشاهده پروفایل

استاد

• Clustering Methodology
• Record Linkage
• Educational Data Mining
• +۵ مورد دیگر

Rebecca Nugent is the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science and Department Head at Carnegie Mellon University. She holds a PhD in Statistics from the University of Washington (2006), an MS in Statistics from Stanford (2006), and a BA in Mathematics, Statistics, and Spanish from Rice University (2002). Her research spans clustering methodology , record linkage , educational data mining , public health , and semantic organization , with a focus on high-dimensional data and adaptive learning environments. She leads the Integrated Statistics Learning Environment (ISLE) and Corporate Capstone programs, emphasizing low-barrier data platforms for education and industry collaboration. Academic Roles : Department Head, Carnegie Mellon; Affiliated Faculty, Block Center for Technology and Society Research Grants : NSF (2017-2019), NIH (2018), Carnegie Mellon ProSEED/Simon Initiative (2020, 2018), Berkman Fund (2014) Her 15 most recent publications focus on data science pedagogy, clustering algorithms, record linkage applications in historical and medical data, educational data mining, and semantic organization studies. Awards include the ASA Waller Education Award (2015) and the William H. and Frances S. Ryan Award (2015) . She mentors a diverse group of PhD, Master's, and undergraduate students, with alumni pursuing careers in academia, industry, and sports analytics.