Find Academic Supervisors

Daniel KrutzView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Software Engineering Education
• +5 more

Daniel Krutz is an Associate Professor in the Department of Software Engineering at Rochester Institute of Technology (RIT) , with a secondary appointment as Courtesy Associate Professor at the University of Florida's Department of Computer & Information Science & Engineering. He directs the AWARE Lab , focusing on Autonomous Systems, Warfare Applications, and Software Engineering , supported by $6M+ in federal grants from NSF, NSA, DOD, and AFRL. His research spans AI/ML, Self-Adaptive Systems, Decision Support Systems, and Accessibility in Computing Education . He holds a PhD from Nova Southeastern University and has taught courses including Software Engineering Freshman Seminar and Capstone Research Project . He is an NSF CAREER Award recipient (2022) and former AFRL Fellow (2018). Educations: BS, St. John Fisher College MS, Rochester Institute of Technology PhD, Nova Southeastern University Labs: AWARE Lab (Autonomy, Warfare, and Engineering) Awards: NSF CAREER Award (2022) AFRL Research Faculty Fellowship (2018) Teaching: Undergraduate/Graduate courses in software engineering, accessibility, and AI/ML Research Interests: Focus on experiential learning in computing education, neuroevolutionary algorithms, and AI ethics. Recent projects address empathy-building interventions for inclusive software development and context-aware decision support systems . Grants & Funding: Over $6M secured since 2018 from NSF, DOD, and NSA for projects in AI/ML, cybersecurity, and adaptive systems. Current work explores AI-driven stock trading frameworks and accessibility education modules.

Alice ReznickovaView profile

Academic

• Sustainability Education
• Food Systems
• Urban Design
• +3 more

Alice Reznickova is an Associate Teaching Professor and Capstone Lead in the Masters of Environment (MENV) Program at the University of Colorado. She holds a PhD in Environment and Resources from the University of Wisconsin-Madison, an MS in Chemistry from the same institution, and a BA in Chemistry from Smith College. Her work focuses on sustainability education, food systems, urban design, and policy, with a strong emphasis on equity and community engagement. Previously served as Director of Sustainable Urban Environments at NYU Tandon School of Engineering Worked as Campus Sustainability Director at Ripon College Interdisciplinary Scientist at Union of Concerned Scientists, focusing on sustainable food policy Reznickova pioneered NYC's first urban agriculture census and developed experiential learning programs such as the C40 Students Reinvent Cities competition and Ripon's Sustainability Fellowships. Her research addresses food justice, nutrition security, and inclusive sustainability practices.

Alex BigazziView profile

Associate Professor

• Active travel (walking/cycling)
• Micromobility and e-bikes
• Pedestrian and bicycle facility design
• +3 more

Dr. Alex Bigazzi is an Associate Professor and Associate Head (Undergraduate Program) in the Department of Civil Engineering at the University of British Columbia (UBC), with a joint appointment in the School of Community and Regional Planning. He leads the REACT Lab, focusing on active transportation, micromobility, and sustainable infrastructure design. His research emphasizes the intersection of physics, physiology, and behavior in active travel, particularly for pedestrians and cyclists, and addresses emissions reduction and equitable urban mobility. Bigazzi holds a B.M. in Jazz Saxophone from the University of Miami and a Ph.D. in Civil Engineering from Portland State University. His career includes academic and practical contributions, such as founding the REACT Lab and leading projects on e-bike incentives, air pollution exposure, and infrastructure design. His work has earned awards like the 2024 Wall Legacy Award for inclusive transport design and the 2023 Climate Action Award. He teaches courses on pedestrian/bicycle facility design and capstone projects, mentoring students through UBC’s Civil Engineering programs.

Emma TrentmanView profile

Associate Professor

• Applied Linguistics
• Language Learning
• Multilingualism
• +5 more

Emma Trentman is an Associate Professor of Arabic at the University of New Mexico (UNM) and Director of the Language Learning Center. Her research focuses on Applied Linguistics, particularly on language learning during study abroad programs, virtual exchange, and the impact of language ideologies on multilingual approaches. Research Interests: Multilingualism, Language Ideologies, Study Abroad Programs, Intercultural Communication, Arabic Language Education, and Curriculum Development. Key Publications: Co-editor of Language Learning in Study Abroad: The Multilingual Turn (2021), with works featured in The Modern Language Journal , Foreign Language Annals , and Critical Multilingualism Studies . Teaching: Offers Arabic language courses and the Languages Capstone class, integrating critical perspectives into language pedagogy. Editorial Work: Co-editor for Critical Multilingualism Studies Journal , advocating for plurilingual practices in education. Publications: Explores topics such as translanguaging, sociolinguistic competence, and decolonizing language learning frameworks across diverse contexts (Egypt, Tanzania, China). Advocacy: Engages in critical discussions on equity, identity, and sociocultural dimensions in language education.

Yi FangView profile

Associate Professor

• 3D Computer Vision
• Multimedia Processing
• Machine Learning
• +9 more

Yi Fang is an Associate Professor of Computer Engineering and an affiliated Associate Professor of Computer Science at New York University Abu Dhabi (NYUAD), and a Global Network Associate Professor at NYU Tandon. He is a core faculty member in the Division of Engineering, specializing in Electrical and Computer Engineering. His research is centered at the intersection of Embodied AI, Robotics, and AI-driven assistive technologies, with strong support from agencies such as the US NSF, UAE ADEK, and ASPIRE. PhD, Purdue University Yi Fang's research interests span 3D Computer Vision, Multimedia Processing, Machine Learning, Deep Learning, and Embodied AI . He focuses on AI-driven perception, learning, and real-world applications, particularly in engineering, medicine, and accessibility. His lab, the Embodied AI and Robotics (AIR) Lab, develops intelligent robotic systems that integrate perception, learning, and decision-making to solve complex societal challenges. His work emphasizes large-scale visual computing, deep visual learning, and cross-domain/multimodal foundation models , with recent innovations in assistive AI for the Deaf and Hard-of-Hearing community. The 15 most recent publications reflect a consistent focus on 3D vision, sketch-based 3D retrieval, point cloud learning, and assistive computer vision . His work leverages deep learning, adversarial training, metric learning, and generative models to bridge modalities such as sketches, depth images, and 3D models. There is a clear trend toward cross-modal understanding, unsupervised representation learning, and real-world assistive applications , especially for visually impaired individuals. Yi Fang actively contributes to the academic community as an Area Chair for top-tier conferences including CVPR, ECCV, ICCV, IJCAI, and IROS. He also serves in peer review and mentoring roles, shaping the future of AI and robotics research. As a dedicated educator, he teaches foundational and advanced courses such as Computer Vision, Applied Machine Learning, Data Structures, and Capstone Design . He mentors students through research seminars and honors projects, fostering innovation and technical excellence. His research is supported by major grants from US NSF, UAE ADEK, and ASPIRE, enabling high-impact interdisciplinary collaborations. He founded and directs the Embodied AI and Robotics (AIR) Lab at NYU Abu Dhabi, a dedicated research space for developing intelligent systems that seamlessly integrate perception, learning, and decision-making. The lab promotes interdisciplinary collaboration across engineering, medicine, and social sciences, advancing the frontiers of Embodied AI.

Simon PeterView profile

Associate Professor

• Operating Systems
• Computer Networking
• Data Center System Design
• +3 more

Simon Peter is an Associate Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington since January 2022, specializing in Software & Hardware Systems. His research focuses on low-latency, scalable, and energy-efficient data center infrastructure. His research expertise spans: Operating Systems & Runtime Design (tiered memory management, zero-copy IO, network stack virtualization) Hardware/Software Co-design (RDMA/TCP offload, reconfigurable topologies) Power Management (datacenter power resiliency, disaggregated storage) His work bridges theoretical computer science with practical datacenter implementation challenges, emphasizing sustainability and performance optimization. Notable honors include: Sloan Research Fellowship NSF CAREER Award SIGOPS Hall of Fame Award Multiple best paper awards Peter actively mentors graduate students and leads projects through the UW Center for the Future of Cloud Infrastructure (FOCI) and Computer Systems Lab. His teaching includes advanced courses on Data Center Systems and Operating Systems Capstone, with a curriculum spanning both UW and previous appointments at UT Austin.

Lisa WalcottView profile

Associate Professor

• Sculpture
• Installation Art
• Kinetic Art
• +3 more

Lisa Walcott is an Associate Professor of Art at Hope College, where she has been a faculty member since 2018. She teaches sculpture courses, the capstone course for art majors, and a First-Year Seminar on artistic processes. Her studio practice focuses on kinetic sculptures and installations that explore themes of home, the everyday, and the feminine experience. MFA in Sculpture from Cranbrook Academy of Art (2010) B.A. from Trinity Christian College (2005) Walcott’s research intersects sculpture, installation art, and kinetic design, often recontextualizing domestic objects to investigate themes of interdependence, repair, and the unseen forces in everyday life. Her work frequently involves mechanical components and materials like wax, motors, and household items to create immersive, motion-driven installations. Her recent artworks, such as Making a Mountain (2024) and A Soft Punch to the Gut (2024), exemplify her focus on transforming utilitarian structures into emotive, kinetic pieces. These works, alongside digital collages like The Way I Figure It (2023), reveal a trajectory toward blending physical materials with conceptual frameworks to explore domestic ingenuity and tension. Walcott actively mentors students through faculty research collaborations and founded the Hope College Art Club. She exhibits nationally at institutions like the Eli and Edythe Broad Art Museum and The Sculpture Center, with solo exhibitions at venues including Manifest Gallery (Cincinnati) and the Urban Institute for Contemporary Art. Her studio practice integrates material investigations and workshops to refine techniques, which she translates into both pedagogy and art. Notable solo exhibitions include Swarm (2013) at the Broad Art Museum and Tight Spots (2021) at Saugatuck Center for the Arts.

Jonathan LevineView profile

Professor

• Transportation Planning
• Accessibility-Based Planning
• Land Use Planning
• +5 more

Jonathan Levine is a Professor of Urban and Regional Planning at the University of Michigan's Taubman College of Architecture and Urban Planning, where he has been faculty since 1991. His work focuses on transportation planning, housing and equitable development, and land use and environmental planning, with a particular emphasis on shifting from mobility-based to accessibility-based planning paradigms. Levine's educational background includes: Ph.D. in City and Regional Planning from the University of California, Berkeley M.C.P. in City and Regional Planning from the University of California, Berkeley M.S. in Engineering (Civil Engineering-Transportation focus) from the University of California, Berkeley B.S. in Political Economy of Natural Resources from the University of California, Berkeley His research centers on the potential and rationales for policy reform in transportation and land use. Levine argues that a shift in the transportation and land-use planning paradigm from a mobility to an accessibility basis is compelled by transportation theory and would be transformative to planning practices. His current work includes sponsored projects and the book "From Mobility to Accessibility: Transforming Urban Transportation and Land-Use Planning" (Cornell University Press, 2019), co-authored with Joe Grengs and Louis Merlin. He previously authored "Zoned Out: Regulation, Markets, and Choices in Transportation and Metropolitan Land Use" (Resources for the Future, 2006), which argued for policy reform based on expanding households' effective range of choices. Levine's recent publications demonstrate a clear trend toward accessibility-based evaluation of transportation systems and land-use planning. His articles explore topics such as comparing bus rapid transit and light rail, project-level accessibility analysis, overcoming the last-mile problem, and the effects of automated transit systems. His work consistently challenges traditional transportation planning paradigms and advocates for approaches that prioritize access to destinations rather than mere mobility. Levine's contributions to the field have been recognized with several prestigious awards: 2010 Chester Rapkin Award for best paper in the Journal of Planning Education and Research 2011 Residential Fellowship at the Rockefeller Foundation Center in Bellagio, Italy 2001 Excellence in Urban Policy Scholarship Award from the Association of Collegiate Schools of Planning and U.S. Department of Housing and Urban Development 1996 Best of Association of Collegiate Schools of Planning Award Levine has led significant research projects including Implementation of Accessibility-Based Evaluation for Transportation and Land-Use Planning funded by NEXTRANS, Sustainable Transportation for a 3rd Century addressing the last mile problem, and Accessibility Evaluation from Laboratory to Practice. His teaching portfolio includes Transportation and Land-Use Planning, Public Economics for Urban Planning, Research Design, and the MUP Capstone studio, where he guides students through real-world planning challenges. As a thought leader in urban planning, Levine regularly contributes to public discourse on zoning policies, housing diversity, and transportation planning. He has been featured in numerous media outlets discussing how land use policies impact sustainability, affordability, and racial justice, emphasizing that "zoning is behind all of it, and is not only the cause, but exacerbates it." His insights on the historical role of single-family zoning in perpetuating racial segregation have been particularly influential in contemporary housing policy debates.

Virgil PercecView profile

Professor

• Organic Chemistry
• Supramolecular Chemistry
• Nanotechnology
• +4 more

Virgil Percec is the P. Roy Vagelos Professor of Chemistry at the University of Pennsylvania, affiliated with the School of Arts & Sciences and the Department of Chemistry. His research focuses on organic, supramolecular, and macromolecular chemistry, with an emphasis on self-assembly, drug delivery systems, and biomimetic nanosystems. He holds a B.S. and Ph.D. from institutions in Jassy, Romania, and conducted postdoctoral research at the University of Freiburg and the University of Akron. Research Interests: Percec’s work integrates synthetic methods, catalysis, and structural biology to design functional nanosystems. Key areas include hierarchical folding, supramolecular chirality, and synthetic mimics of biological membranes. His lab explores mRNA delivery systems using Janus dendrimers and studies self-organized structures like helical columns and quasicrystals. Recent Articles: His recent publications highlight advancements in mRNA delivery mechanisms, supramolecular architectures, and polymer synthesis innovations. The group’s work often involves interdisciplinary collaborations, bridging chemistry, materials science, and bioengineering. Awards: Percec was elected a Foreign Member of the Academia Europaea (2020) and delivered the inaugural ACS Kavli Lecture (2011). His lab has trained numerous students and postdocs, including Juncheng Lu (Master’s Capstone Award recipient) and Devendra Maurya (SET-LRP research). Labs & Teams: The Percec Research Laboratory at Penn develops cutting-edge biomaterials and supramolecular systems. The group collaborates globally, with projects funded by grants exploring nanotechnology and drug delivery.

Clark OlsonView profile

Professor

• Computer Vision
• Clustering Algorithms
• Robot Navigation
• +3 more

Clark Olson is a Professor in the Division of Computing & Software Systems at the University of Washington Bothell, part of the School of Science, Technology, Engineering & Mathematics. He earned his Ph.D. in Computer Science from UC Berkeley (1994), M.S. in Electrical Engineering (1990), and B.S. in Computer Engineering (1989) from the University of Washington, Seattle. Education: Ph.D. in Computer Science (2017) from University of California, Berkeley M.S. in Electrical Engineering (1990) from University of Washington, Seattle B.S. in Computer Engineering (1989) from University of Washington, Seattle His research focuses on computer vision, robot navigation, and clustering algorithms. He has developed techniques for Mars rover terrain mapping, subspace clustering, and geometric feature matching. His work bridges theory and application in autonomous systems and image analysis. Analysis of his publications reveals expertise in computer vision (8 papers), clustering algorithms (4 papers), and robotics (5 papers). Key subtopics include Mars exploration (3 papers), Hough transforms (3 papers), and probabilistic methods (3 papers). Professor Olson teaches courses ranging from introductory programming (CSS 161-162) to advanced topics in computer vision (CSS 487-587) and algorithm design (CSS 549). He also advises on the CSSE Capstone (CSS 497) projects requiring rigorous prerequisites and structured evaluation criteria.

• Energy Geotechnics
• Environmental Geotechnics
• Wind Energy Civil/Geotechnical Design
• +4 more

James Tinjum is a Professor in the Department of Civil & Environmental Engineering at the University of Wisconsin-Madison, College of Engineering. His interdisciplinary expertise spans geotechnical, geological, environmental, transportation, and sustainable energy engineering. Education PhD 2006, University of Wisconsin-Madison MS 1995, University of Wisconsin-Madison BS 1993, University of Wisconsin-Madison Research Interests Professor Tinjum’s research integrates energy geotechnics with environmental sustainability. He investigates wind energy site design, district-scale geothermal heating/cooling systems, beneficial reuse of industrial byproducts (e.g., coal-combustion residuals, cement kiln dust), life-cycle environmental analysis, and remediation of contaminated sites. Additional focus areas include thermal conduction in unsaturated soils, landfill liner performance, and PFAS management in Wisconsin. Recent Research Directions His 2020–2024 publications reveal a strong emphasis on geothermal system performance , wind-turbine foundation–soil interaction , and emerging contaminant transport (PFAS, chromium). Fiber-optic distributed temperature sensing (FO-DTS) is a recurring enabling technology, applied to both geothermal borefields and landfill covers. Life-cycle assessment methodologies are consistently employed to quantify environmental benefits of renewable energy and waste-reuse strategies. Scientific Awards 2018 Fellow, American Society of Civil Engineers (ASCE) 2003 ASCE Zone III Practitioner Advisor of the Year 2002 ASCE Wisconsin Section Outstanding Young Engineer Teaching & Mentoring Professor Tinjum teaches core geotechnical courses (Soil Mechanics, Foundation Systems) alongside specialized offerings in wind-energy balance-of-plant design and sustainable systems engineering capstone. He supervises numerous master’s and doctoral students through GLE 790/890 research credits each semester. Labs & Teams He directs field-scale instrumentation campaigns at two wind-turbine sites and multiple campus/district geothermal installations, leveraging fiber-optic sensing networks and thermal response testing to advance energy geotechnics.

• Human Resource Management
• Organizational Behavior
• HR Analytics
• +7 more

Dr. Hanbo Shim is an Assistant Professor in the Department of Management at The University of Texas at Arlington, College of Business. He holds a PhD in Industrial Relations and Human Resources from Rutgers University and a BA in Mathematics and Economics from the University of Illinois at Urbana-Champaign. His research and teaching focus on Human Resource Management, Organizational Behavior, and HR Analytics. PhD, Industrial Relations and Human Resources, Rutgers University (2022) MS, Industrial Relations and Human Resources, Rutgers University (2019) MA, Human Resource Management, Rutgers University (2016) BA, Mathematics and Economics, University of Illinois (2012) Dr. Shim's research explores the temporal dynamics of employee performance, compensation systems, emotional intelligence, and social networks in organizations. He uses longitudinal analysis, multilevel modeling, meta-analysis, and computer simulation to examine how individual and interpersonal factors influence organizational outcomes. His work bridges HR analytics with behavioral science. His recent publications span topics such as green HRM, pay policy dynamics, emotional intelligence, and HR analytics education. These works reflect a strong interdisciplinary approach integrating psychology, sustainability, data science, and strategic management. His research has been presented at leading conferences including the Academy of Management and European Reward Management Conference. Award highlights include: Ralph Alexander Best Dissertation Award (2024) Innovative Teaching Award, Academy of Management HR Division (2022) Best Student Convention Paper Award (2020) Best Doctoral Conference Paper Award, Samsung Economic Research Institute (2020) Dr. Shim actively advises students through capstone and honors projects and serves on PhD and graduate studies committees. He has collaborated with SL Corporation on HR analytics and developed open-source educational materials. His service includes editorial board membership for Compensation & Benefits Review and ad hoc reviewing for top journals. He is also engaged in professional development workshops and public speaking, including for the Society for Human Resource Management at UTA. His lab and research activities emphasize simulation-based methods and real-world HR analytics applications.

Paul TaeleView profile

Academic

• Sketch Recognition
• Human-Computer Interaction (HCI)
• Artificial Intelligence
• +5 more

Paul Taele is an Instructional Assistant Professor and Deputy Lab Director in the Sketch Recognition Lab at Texas A&M University's Department of Computer Science & Engineering. He holds a Ph.D. (2019), M.S. (2010), and dual B.S. degrees in Computer Science and Mathematics from the University of Texas at Austin (2006). His research focuses on sketch recognition, haptics, and intelligent interfaces for education and accessibility, with notable work in mid-air gesture recognition, educational sketching tools, and assistive technologies for disabilities. He has contributed to projects like Kanji Workbook , Hashigo , and HaptiMoto , and has published over 50 peer-reviewed articles across venues like CHI, IUI, and AAAI. Taele has received awards including the NSF Student Travel Grant (2014) and Ford Foundation Honorable Mention (2015). He teaches courses in capstone design, programming, and sketch recognition, and mentors students across all academic levels through strict eligibility criteria for research collaborations. Education : Ph.D. Computer Science, Texas A&M University (2019) M.S. Computer Science, Texas A&M University (2010) B.S. Computer Science & Mathematics, University of Texas at Austin (2006) Concentration in Mandarin Chinese, National Chengchi University (2007) Research Interests : Taele's work bridges HCI and AI to create accessible educational interfaces. His projects emphasize: Sketch Recognition : Developing algorithms for mid-air gestures, children's developmental assessments, and language learning Accessibility : Haptic systems for visually impaired learners and algebra education Educational Tech : Intelligent tutoring systems for music, math, and East Asian languages Awards & Grants : EAAI-20 Travel Grant (2020) Ford Foundation Dissertation Honorable Mention (2015) NSF East Asia-Pacific Summer Institutes (2013, 2012) Royce E. Wisenbaker Fellowship (2009) Lab & Teams : Director of the Sketch Recognition Lab (SRL) and collaborator with global institutions like Singapore Management University and National Taiwan University. Active in organizing workshops like SketchRec at IUI conferences.

Ju Hui Judy HanView profile

Associate Professor

• Cultural Geography
• Gender Studies
• Queer Politics
• +5 more

Ju Hui Judy Han is an Associate Professor in Gender Studies at the University of California, Los Angeles, with additional affiliations at the Center for Korean Studies, Center for the Study of Women, and Asia Pacific Center. Her office is located in 1117 Rolfe Hall at UCLA. As a cultural geographer, Professor Han is committed to building critical and transnational conversations concerning gender, sexuality, and activism, regularly contributing to community-based projects and public events both on campus and beyond. Professor Han received her Ph.D. in Geography from UC Berkeley and her B.A. in English and Women's Studies from UC Berkeley. Her educational background bridges humanities and social sciences, providing a strong foundation for her interdisciplinary research. Her research interests span (Im)mobilities, Religion and difference, conservatism, LGBTQ/queer politics and activism, Comics and graphic novels, Korean studies, and Cultural geography. Professor Han approaches these topics through a critical lens that emphasizes transnational perspectives, particularly focusing on South Korea and the Korean diaspora. Her work often examines how power operates through spatial arrangements and how marginalized communities navigate and resist dominant structures. She has developed innovative approaches to studying activism through comics and graphic nonfiction, creating accessible yet theoretically rich analyses of complex social phenomena. Professor Han's publications reveal consistent engagement with queer politics in South Korea, religious movements, and transnational activism. Her work shows a progression from analyzing specific case studies to developing broader theoretical frameworks about resistance, solidarity, and spatial politics. The recurring themes across her publications include the intersection of religion and queer politics, the spatial dimensions of activism, and the transnational connections between social movements. UCLA Center for the Study of Women/Barbra Streisand Center, inaugural Barbra Streisand Fellowship on Truth in the Public Sphere Podcast Support Grant, University of California Humanities Research Institute (UCHRI), 2021-22 Society of Hellman Fellows Award, UCLA, 2021-22 UCLA Faculty Career Development Award, 2018-2019 Co-Applicant, 'Protesting Publics in South Korea,' SSHRC Insight Grant (PI: Jennifer Jihye Chun), 2015-2020 Co-Investigator, 'Urban Aspirations in Seoul: Religion and Megacities in Comparative Studies,' Max Planck Institute, 2011-2017 Professor Han actively contributes to public discourse through media appearances and community engagement. She has received significant research funding supporting her work on South Korean protest movements and urban religious dynamics. Her teaching portfolio is diverse, including the Gender Studies undergraduate core class on power (102), senior capstone seminars (187), elective courses on transnational feminist politics (131) and comics and graphic nonfiction (185), as well as graduate seminars on feminist geographies, queer temporalities, and research design.

• Statistics
• Optimization
• Machine Learning
• +3 more

Andrew Li is an Associate Professor of Operations Research at Carnegie Mellon University's Tepper School of Business since 2024, previously serving as Assistant Professor since 2018. His research bridges statistics, optimization, and machine learning with applications to healthcare operations and retail management. Current teaching: Optimization, Business Analytics Capstone, and Topics in Optimization and Statistics PhD from MIT's Operations Research Center (2018), BS in Operations Research/Applied Mathematics from Columbia University (2012) Research Focus: Dr. Li develops data-driven decision frameworks for complex systems. Key areas include: Experience-based learning models with fairness constraints (organ allocation) Anomaly detection in low-rank matrices (retail inventory accuracy) Nanoparticle-based diagnostic systems for CAD and Alzheimer's Nonstationary demand forecasting in supply chains Publication Trends: Recent work combines bandit algorithms with healthcare applications (split liver transplants, CAD detection) and retail operations (inventory accuracy). Theoretical contributions include regret-optimal policies and entrywise anomaly detection guarantees. Scientific Honors: INFORMS Nicholson Award (2018) INFORMS Pierskalla Award (2021) NSF CAREER Award (2023) Professional Leadership: Active in INFORMS and CMU committees including MBA Analytics Curriculum, Thompson Award, and ENAiBLE AI-driven retail collaborative co-founder since 2021.