Find Academic Supervisors

Antoine BosselutView profile

Assistant Professor

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +5 more

Antoine Bosselut is a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences, where he leads the EPFL NLP group. His research focuses on developing AI reasoning agents that can model, represent, and reason about human and world knowledge, with applications in health, education, and global fairness. His research interests span multiple critical areas in modern AI: LLM Representations of Knowledge: Understanding what language models know and how they represent that knowledge internally Reasoning Algorithms: Developing methods to improve LLMs' reasoning capabilities through symbolic systems, neuroscience, and cognitive science Large-scale AI Development: Creating open-source foundation models with multilingual capabilities AI Democratization: Ensuring equitable access to AI technologies across different cultural and regulatory contexts His recent publications reveal a strong focus on the intersection of language models and cognitive science, with multiple studies examining how LLMs align with human cognition. He's also deeply engaged in practical applications of NLP technology, particularly in education and multilingual settings, as evidenced by his work on evaluating AI's impact on higher education and developing culturally-aware language models. His scientific achievements have been recognized with several prestigious awards: Outstanding Paper Award at NAACL 2025 ELLIS Scholar designation in 2024 Outstanding Paper Award at ACL 2023 Inclusion in Forbes 30 Under 30 list for Science & Healthcare in 2021 Bosselut actively mentors numerous PhD students across diverse NLP research areas and has secured significant recognition for his work in both academic and media circles. His lab has been featured in major publications including Communications of the ACM, The Atlantic, and Quanta Magazine, highlighting the societal impact of his research on commonsense reasoning and AI capabilities.

Maja J MatarićView profile

Professor

• Socially Assistive Robotics
• Human-Robot Interaction
• Assistive Technology
• +7 more

Maja J Matarić is the Chan Soon-Shiong Chaired and Distinguished Professor of Computer Science at the University of Southern California's Viterbi School of Engineering, with courtesy appointments in Neuroscience and Pediatrics. She serves as founding director of the USC Robotics and Autonomous Systems Center, co-director of the USC Robotics Research Lab, and Principal Scientist at Google DeepMind. Previously, she held leadership roles as USC's interim Vice President of Research (2020-2021) and Vice Dean for Research (2006-2019). Her educational background includes: PhD in Computer Science and Artificial Intelligence from MIT (1994) MS in Computer Science from MIT (1990) BS in Computer Science from University of Kansas (1987) Matarić pioneers Socially Assistive Robotics (SAR) , a field her lab named, focusing on human-robot interaction that provides assistance through social rather than physical support. Her research targets critical health and wellness challenges including post-stroke rehabilitation, autism spectrum disorder therapy, cognitive exercises for Alzheimer's patients, ADHD academic support, and mental health interventions. She develops systems modeling user engagement, personality, and motivation, with extensive real-world deployments in schools, rehabilitation centers, and homes. Analysis of her recent publications reveals dominant themes in cognitive health robotics (2025 CHI paper on LLM-powered elder care), pediatric assistive technology (2025 IDC speech therapy review), and adaptive preference modeling (2025 HRI contrastive learning work). Her research consistently bridges machine learning with human-centered design for vulnerable populations. Major scientific recognition includes: ACM Athena Lecturer Award (2024) ACM Eugene L. Lawler Humanitarian Award (2024) ACM Fellow (2020) Presidential Mentoring Award (2011) Multiple society fellowships (AAAS, IEEE, AAAI) As a dedicated mentor, Matarić has championed underrepresented groups through CRA-W, placing numerous women in faculty positions. She leads USC Viterbi's K-12 STEM Outreach Program serving low-income Los Angeles schools and authored The Robotics Prime for student education. Her research has secured significant funding enabling real-world technology transfer, with documented impact in rehabilitation centers and homes through deployable SAR systems. Her Robotics Research Lab at USC drives innovation in embodied AI, with current projects spanning LLM-integrated elder care robots, ADHD academic companions, and autism therapy systems. The lab emphasizes co-design with end-users and rigorous real-world validation across diverse populations.

Anamaria CrisanView profile

Assistant Professor

• Human-Computer Interaction
• Data Visualization
• Applied AI/ML
• +3 more

Anamaria Crisan is an Assistant Professor at the University of Waterloo, affiliated with the Insight Lab. Her research focuses on interdisciplinary work at the intersection of Human-Computer Interaction (HCI), Data Visualization, and Applied AI/ML. She explores human-centered approaches to AI/ML systems, visualization design for decision-making, and healthcare data science applications. Dr. Crisan holds a PhD in Computer Science from the University of British Columbia (2019), an MSc in Bioinformatics (2010), and a BComp in Biomedical Computing from Queen’s University (2008). Her educational background bridges computer science, biology, and healthcare informatics. Her research interests include responsible AI/ML systems, interactive visualization for data-driven decisions, and leveraging visualization in healthcare to improve outcomes. She emphasizes transparency, trustworthiness, and human alignment in AI technologies. Her work spans diverse applications such as genomic epidemiology, dashboard design, and ethical AI evaluation. Notable contributions include studies on human-AI collaboration, visualization linters, and scalable dashboard census methodologies. She has published widely in top-tier venues like IEEE VIS and ACM CHI. Dr. Crisan’s lab (UW Insight Lab) focuses on human-centered approaches to automating data science and improving visualization practices in critical domains like healthcare and public health.

Paul GölzView profile

Assistant Professor

• Social Choice Theory
• Algorithmic Fairness
• AI Ethics
• +3 more

Paul Gölz is an Assistant Professor at Cornell University's School of Operations Research and Information Engineering (ORIE), with affiliations in Computer Science. His research focuses on computational social choice, algorithmic fairness, and AI ethics, addressing topics like democratic innovation, fair resource allocation, and AI systems for diverse users. Education: Undergraduate studies at Saarland University (Germany), PhD in Computer Science from Carnegie Mellon University, followed by postdoctoral research at Harvard University, UC Berkeley, and the Simons Laufer Mathematical Sciences Institute. His work has been recognized with awards including the JPMorgan Chase AI Research Fellowship (2021) and honorable mentions for prestigious dissertation awards (Dantzig and ACM SIGecom). Research Highlights : Developed Panelot, a tool for selecting citizens' assemblies using state-of-the-art algorithms. His work on fair refugee resettlement and apportionment methods has been featured in Operations Research and Nature . Recent projects include AI alignment distortion analysis and generative social choice mechanisms. Teaching : Teaches Optimized Democracy (Spring 2025) and Mathematical Programming (Fall 2024). Supervises PhD students in ORIE, focusing on interdisciplinary applications of optimization and social choice. Awards & Grants : Received a $40K Structural Democracy Fellowship (Crankstart) and an OpenAI grant for Democratic Inputs to AI. Active in policy briefs (e.g., mini-public selection strategies). Labs/Tools : Co-developed Panelot.org , a nonprofit platform for fair citizen assembly selection. Active in open-source tool development for social choice applications.

Sarita V AdveView profile

Professor

• Computer Architecture
• Extended Reality Systems
• Heterogeneous Computing
• +4 more

Sarita V Adve is the Richard T. Cheng Professor of Computer Science at the University of Illinois at Urbana-Champaign, where she conducts research spanning hardware, programming languages, operating systems, and applications with a focus on domain-specific systems. Her work bridges theoretical foundations and practical implementations, particularly in extended reality and heterogeneous computing. Her educational background includes a Ph.D. and M.S. in Computer Science from the University of Wisconsin-Madison (1993, 1989) and a B.Tech in Electrical Engineering from the Indian Institute of Technology Bombay (1987). Prior to joining Illinois, she served on the faculty at Rice University from 1993 to 1999. Adve's research centers on generalizable and scalable specialization for domain-specific systems, with current emphasis on extended reality (XR) systems including virtual, augmented, and mixed reality. She chairs the ILLIXR consortium to democratize XR research and developed the first fully open-source XR system (ILLIXR). Her foundational contributions include memory consistency models for C++ and Java programming languages, the Spandex coherence framework for heterogeneous systems, and software-driven approaches for hardware reliability. Her work spans hardware reliability (SWAT and RAMP projects), power management (GRACE system), and instruction-level parallelism. Recent publications reveal a strong focus on energy-efficient XR systems, hardware-software co-design for AI workloads, and resilience analysis. Her team explores rendering offload, visual-inertial odometry optimization, and compositional error injection frameworks, often targeting tradeoffs between energy, latency, and accuracy in mobile and edge environments. Fellow of the American Academy of Arts and Sciences Fellow of the ACM and IEEE ACM/IEEE-CS Ken Kennedy Award Anita Borg Institute Woman of Vision in Innovation Award ACM SIGARCH Maurice Wilkes Award Alfred P. Sloan Research Fellowship UIUC University Scholar University of Illinois Campus Award for Excellence in Graduate Student Mentoring Adve actively mentors students and has received multiple teaching awards. She co-founded the CARES movement to address discrimination in CS research events and chairs CS@Illinois CARES. Her service includes leadership roles in ACM SIGARCH (2015-2019), DARPA/ISAT study group, ACM Council, and Computing Research Association. She has secured significant funding including DARPA initiatives and Google Faculty Research Awards. She leads the ILLIXR consortium and has established collaborative research programs such as the $8.3M DARPA Joint University Microelectronics Program. Her lab focuses on open-source XR development, heterogeneous system architectures, and reliability-aware designs, with strong industry and government partnerships.

Jonathan N. KatzView profile

Professor

• Political Methodology
• Statistics
• Political Economy
• +3 more

Jonathan N. Katz is the Kay Sugahara Professor of Social Sciences and Statistics at the California Institute of Technology (Caltech). He holds a S.B. from MIT (1990), M.A. from UC San Diego (1992), and Ph.D. from UC San Diego (1995). His career includes roles as Assistant Professor (1995-98), Associate Professor (1998-2003), and Professor (2003-11) at Caltech, with subsequent appointments as Sugahara Professor (2012–present), Executive Officer for Social Sciences (2007), and Division Chair (2007–14). His research focuses on statistical methods in social sciences, electoral systems, and public policy. Key affiliations include the Caltech/MIT Voting Technology Project and the Linde Institute of Economic and Management Sciences. Katz is Deputy Editor for Social Sciences at Science Advances and a Fellow of the American Academy of Arts and Sciences (2011) and the Society for Political Methodology (2008). Research interests span political methodology, formal theory, and American politics. Recent work addresses partisan fairness in electoral systems, statistical rigor in political modeling, and institutional dynamics in legislative and judicial contexts. Notable contributions include critiques of electoral college bias and audits of political behavior research methodologies. Awards: Career Achievement Award in Political Methodology (2024), Inaugural Fellow, Society for Political Methodology (2008). Grants/Labs: Caltech/MIT Voting Technology Project, Linde Institute Directorship (2013–14).

Elaine FaheyView profile

Professor

• EU Law
• Global Governance
• Transatlantic Relations
• +7 more

Professor Elaine Fahey is a leading scholar in EU law and global governance at the City Law School, City St George's, University of London, where she serves as Professor of EU Law and Deputy Head of Department (academic programmes). She is co-convener of the Institute for the Study of European Law (ISEL) and the UACES James Madison Trust EUFUtures initiative (2022–2025). Her academic career includes visiting professorships at Washington College of Law (American University), Keio University, and NYU, as well as fellowships at the European University Institute and the University of Graz. LLB, Trinity College Dublin LLM, Sidney Sussex College, University of Cambridge PhD, Trinity College Dublin Barrister-at-Law, Honorable Society of King’s Inns, Ireland Attorney-at-Law, State of New York Senior Fellowship, Higher Education Authority UK Her research focuses on the intersection of EU law with global governance, digital regulation, transatlantic relations, and the Area of Freedom, Security and Justice. She explores how the EU navigates legal frameworks beyond the nation-state, particularly in digital trade, cybersecurity, and data protection. Her work critically examines the EU’s role as a global regulatory actor and its interactions with international institutions. Her extensive publication record includes the monograph The EU as a Global Digital Actor (Hart, 2022) and numerous articles on digital sovereignty, data transfers, and transatlantic cooperation. Recent research analyzes the EU–US Trade and Technology Council (TTC), the evolution of the Privacy Shield, and strategic litigation in digital rights. Her work reveals a strong trend toward understanding how soft law, institutional design, and judicial decisions shape EU external relations and digital governance. Erasmus+ Jean Monnet Chair in Law & Transatlantic Relations (2019–2022) Emile Noël Fellow, NYU Law School Max Weber Fellow, European University Institute Senior Land Steiermark Fellow, University of Graz Senior Fellowship, Higher Education Authority UK Professor Fahey has supervised multiple PhD students, including Isabella Mancini, Giulio Kowalski, and Christos Karetsos, on topics such as algorithmic collusion, digital markets, and investment law. She has led significant research projects, including the ESRC-funded TRILATTRADE grant and the Marie Curie ITN on EU and Transatlantic Investment and Trade (EUTIP). She previously held leadership roles as Associate Dean (International) and interim Associate Dean (Research) at the City Law School. She is an elected member of the EU Studies Association (EUSA) Executive (2021–2025). She has also contributed to public policy through briefings for the Welsh Parliament and reports on CJEU litigation in Ireland. She is associated with research initiatives such as the Institute for the Study of European Law (ISEL) and has collaborated on interdisciplinary projects on Facebook regulation, transatlantic relations, and EU technological sovereignty. Her work bridges legal scholarship, policy, and international academic collaboration.

David TrendView profile

Professor

• Cultural Studies
• Media Analysis
• Critical Pedagogy
• +3 more

David Trend is a Professor and former Chair of the Department of Art at the Claire Trevor School of the Arts, University of California, Irvine. He previously served as Dean of Creative Arts at De Anza College and Graduate Program Coordinator at San Francisco State University's Inter-Arts Center. Trend specializes in visual culture, cultural studies, and critical pedagogy, teaching courses like Language and Vision in Everyday Life and Media, Art, and Technology . His research bridges media analysis, education policy, and radical democracy. He has authored over 200 articles and 16 books, including Elsewhere in America and Reading Digital Culture . As a Getty Scholar, his work explores cultural belonging, digital media impacts, and educational innovation. He advises on state arts councils and the National Endowment for the Arts. His academic contributions span visual arts education, media literacy, and the sociopolitical role of art. Education: - MFA in Photography, Visual Studies Workshop Program, SUNY Buffalo - PhD in Curriculum Theory, Miami University Research Interests: Trend's work examines cultural crises of meaning, digital media's societal impact, and the intersection of art with education and activism. He critiques gentrification's artistic drivers, explores identity formation in digital spaces, and advocates for culturally democratic pedagogical frameworks. Publications Trends: Recent works focus on gentrification's artistic dimensions ( 2022 ), creativity crises ( 2020 ), and belonging in fragmented cultures ( 2016 ). Earlier work addressed media violence myths ( 2007 ), digital literacy ( 2001 ), and radical democracy ( 1996 ). His writing spans academic critiques to practical pedagogical solutions. Awards: Getty Scholar Grants & Consulting: Extensive NEA collaborations, foundation advising, and state arts council consultations. His work emphasizes bridging educational institutions with Silicon Valley corporations through multimedia partnerships. Labs/Teams: Affiliated with UCI's University Art Galleries, Institute and Museum of California Art, and Electronic Art + Design programs.

Tim Elmo FeitenView profile

Academic

• Philosophy of Science
• Philosophy of Mind
• Artificial Intelligence Ethics
• +3 more

Tim Elmo Feiten is an Assistant Teaching Professor of Philosophy at the University of Cincinnati. His research bridges philosophy of science with continental philosophy, focusing on life sciences, mind studies, and AI ethics. He holds degrees from the University of Freiburg (B.A. 2009, M.A. 2012) and University of Cincinnati (M.S. 2024, M.A. 2024, Ph.D. 2024 in Philosophy and the Life Sciences). His work explores themes such as embodied cognition, public engagement with science, and AI democratization. Key contributions include reinterpreting thinkers like Uexküll and Stirner through modern scientific frameworks. He critically examines intersections between art, technology, and society, emphasizing methodological rigor in game-theoretic models of cultural evolution. Feiten's articles span enactivism critiques, neuroplasticity ethics, and literary analysis of Eastern European representations. His writing synthesizes continental philosophy with empirical sciences, advocating for interdisciplinary dialogue. Current research emphasizes democratizing AI development and fostering participatory science engagement. No scientific awards listed. Advising and grants are not detailed in available texts. Active in philosophical communities through publications and conferences.

Abby InnesView profile

Associate Professor

• Political Economy
• Neoliberalism
• Soviet Political Economy
• +5 more

Abby Innes is an Associate Professor of Political Economy at the European Institute, London School of Economics , where she has been a faculty member since 1997. Her academic career includes a Visiting Fellowship at MIT (1995–1997) and a Jean Monet Fellowship at the European University Institute (2001–2002) . She has received multiple teaching awards , including the LSE Teaching Prize and European Institute Departmental Teaching Prize, and currently serves as the Teaching Chair of her institute. Research Interests : Dr. Innes specializes in the political economy of Central Europe , neoliberalism , and materialist utopias . Her work explores state capture , systemic transitions , and comparative capitalism , with a focus on the UK’s neoliberal transformation. Recent research addresses the political economy of the green transition and neoliberal institutional failures . British Academy Mid-Career Fellowship (2017-2018) LSE Teaching Prize (2002) LSE/ASRC Excellence in Education Award (2020) European Institute Departmental Teaching Prize (2011, 2013, 2015) Nominee for LSE Student-Led Teaching Excellence Awards (2014, 2020) Publications : Her 2023 book Late Soviet Britain: Why Materialist Utopias Fail argues that UK neoliberalism parallels Soviet economic dogma, leading to institutional rigidity , democratic erosion , and governance crises . She has published in journals such as The Review of International Political Economy and Comparative Politics , alongside frequent contributions to LSE Blogs and The London Review of Books .

Mina LeeView profile

Assistant Professor

• Writing with AI
• Human-AI Interaction
• Natural Language Processing
• +3 more

Mina Lee is an Assistant Professor in Computer Science at the University of Chicago, affiliated with the Data Science Institute and Cognitive Science. Her research focuses on 'Writing with AI,' exploring how AI transforms writing processes, content, and identities. She designs AI writing assistants and evaluates human-AI collaboration through user studies and experiments, addressing ethical implications like authorship norms and educational impacts. Education: Ph.D. in Computer Science from Stanford University (2023), advised by Percy Liang. B.S. in Computer Science from Korea University (2016). Postdoctoral research at Microsoft Research's Computational Social Science group (2023–2024). Research interests span Human-Computer Interaction (HCI), NLP, and computational social science. She co-founded workshops on Intelligent Writing Assistants and Human-centered Evaluation of Language Models. Notable awards include MIT Technology Review's Innovators Under 35 Korea (2022) and a Best Paper Award at GPCE 2016. Her work has been published in top venues like CHI, ACL, NeurIPS, and Nature Human Behavior. She advises PhD students on AI-assisted writing, cognitive augmentation, and safe generative models. Current lab projects include designing explainable AI tools and studying AI disclosure norms in writing.

Alison PowellView profile

Associate Professor

• Technology Design and Policy
• Public Sector Technology
• Digital Futures
• +5 more

Dr Alison Powell is an Associate Professor in the Department of Media and Communications at the London School of Economics and Political Science (LSE), serving as Programme Director for the MSc Media and Communications (Data and Society). Her research focuses on technology design, public sector technology, and digital futures. She is known for her book Undoing Optimization: Civic Action in Smart Cities (2021) and her participatory research method, data walking. From 2019–2023, she directed the JUST AI network, supported by the Ada Lovelace Institute and UKRI, advancing AI ethics research. Her work integrates critical theory, participatory methods, and interdisciplinary collaboration. Education: PhD in Communication from Concordia University (Canada), MA in Media Studies from Toronto Metropolitan University, and postdoctoral research at the Oxford Internet Institute. Prior to academia, she worked in the film and TV industry. Research interests include civic engagement in data-driven governance, ethical AI, and participatory urbanism. She has advised projects like Africa Just AI and Operationalising Ethics for AI, funded by Horizon Europe, AHRC, and the Open Society Foundations. Her articles address topics such as AI governance, urban light ecology, feminist research praxis, and the ethical implications of technology for marginalized communities. She contributes to blogs like Media@LSE and leads initiatives at Polis and the LSE’s Digital Futures for Children project. Grants and collaborations include work with Projects by IF, Open Rights Group, and the Human Data Interactions Network (EPSRC). She explores intersections of technology, justice, and sustainability, emphasizing equitable and inclusive innovation.

Zizi PapacharissiView profile

Professor

• Social Media Studies
• Political Communication
• Digital Democracy
• +5 more

Zizi Papacharissi is a UIC Distinguished Professor of Communication and Political Science at the University of Illinois at Chicago (UIC), serving as Department Head of Communication. She is also a University Scholar and affiliate faculty at the Discovery Partners Institute (University of Illinois System). Her research explores the social and political implications of digital media, with a focus on affective publics, networked identities, and democratic processes. She holds a PhD from the University of Texas at Austin and has authored over 10 books and 80+ journal articles. Education: PhD, University of Texas at Austin (2000) in New Media Technologies and Political Communication MA, Kent State University (1997) in Communication Studies BA, Mount Holyoke College (1995) in Media Studies and Economics Research Interests: Dr. Papacharissi investigates how digital media shape political participation, identity formation, and public discourse. Key areas include affective publics (emotional dimensions of online activism), the role of social media in democracy, and the ethical implications of AI and connective technologies. Her work bridges communication studies, political theory, and sociology. Recent Contributions: Her 2021 book After Democracy explores post-democratic futures in the digital age. She edits Social Media & Society and collaborates with tech firms like Facebook/Meta and Tencent on media ethics and policy. Her research on #Egypt and #OWS movements highlights social media’s role in mobilizing protests. Awards & Recognition: 2018 Wayne Danielson Award (National Communication Association) 2015 Best Book Award (NCA Human Communication and Technology Division) High-Impact Scholar (University of Texas at Austin) Advising & Grants: While no student names are listed, her courses (e.g., Democracy in a Digital Age ) reflect her mentorship in critical media studies. She has secured grants from the National Academies of Science and the Institute of Medicine for projects on youth well-being and digital media. Labs & Teams: Her research lab focuses on digital media’s societal impact, collaborating with global institutions like the Oxford Internet Institute and the Harvard Kennedy School. She chairs UIC’s interdisciplinary Digital Media and Democracy initiative.

Brent MittelstadtView profile

Professor

• Data Ethics
• AI Ethics
• Technology Governance
• +4 more

Professor Brent Mittelstadt is a leading academic in data ethics and AI governance at the University of Oxford's Oxford Internet Institute (OII), serving as Professor of Data Ethics and Policy and Director of Research. He coordinates the Governance of Emerging Technologies (GET) programme, focusing on ethics, law, and technology interplay. His work bridges academic research with policy impact, contributing frameworks like 'counterfactual explanations' and fairness metrics ('Conditional Demographic Disparity') used globally. He leads high-profile projects such as Trustworthiness Auditing for AI and A Right to Reasonable Inferences in Advertising and Financial Services. Research interests span AI ethics, medical ethics, technology governance, and non-discrimination law. He has pioneered ethical frameworks addressing algorithmic bias, GDPR compliance, and AI accountability. His work has influenced policy bodies like the UK Information Commissioner’s Office and the European Commission, and is implemented by tech giants such as Google and Microsoft. Awarded O2RB Excellence in Impact Awards (2018, 2021) and PLSC Best Paper (2019) Funded by Wellcome Trust, Sloan Foundation, and others Advisory roles for NHSx, GSK Consumer Healthcare, and regulatory bodies Recent work focuses on AI regulation (EU AI Act), generative AI ethics, and healthcare AI governance. He co-leads the OxonFair toolkit for algorithmic fairness and investigates societal impacts of deepfake proliferation and large language models.

Mallory Elizabeth SoRelleView profile

Associate Professor

• Political Inequality
• Socioeconomic Inequality
• Consumer Financial Protection
• +5 more

Mallory Elizabeth SoRelle serves as the Tony & Teddie Brown Associate Professor at Duke University's Sanford School of Public Policy. Her research examines how public policies both stem from and perpetuate socioeconomic and political inequality in the U.S., with a focus on consumer financial protection and civil justice—issues critical to marginalized communities yet often neglected by welfare state scholars. Her academic credentials include: Ph.D. in Government, Cornell University (2016) M.A. in Government, Cornell University (2014) Master of Public Policy, Harvard University (2010) B.A. in Government, Smith College (2006) SoRelle's scholarly work centers on policy feedback effects, investigating how existing policies shape political behavior and future policy design. She analyzes consumer finance regulation, student debt relief, voting access reforms, and preemption politics, highlighting their disparate impacts on vulnerable populations and implications for democratic health. Her recent publications demonstrate a cohesive research agenda applying policy feedback theory across diverse policy domains. Key themes include the political consequences of financial regulation, the dynamics of student debt politics, and the erosion of voting rights, all examined through the lens of inequality and democratic participation. Dr. SoRelle holds the distinguished Tony & Teddie Brown Associate Professorship at Duke University. She is an active educator teaching courses such as The Political Economy of Policymaking and Public Policy, Political Power, and Social Change. Her research is supported by an NSF CAREER grant (2024-2029) investigating the political economy of fringe financial technologies and their impact on economic inequality.