Lyle Ungar is a Professor at the Department of Computer and Information Science at the University of Pennsylvania . He is affiliated with multiple graduate groups, including Genomics and Computational Biology in the School of Medicine , Operations, Information and Decisions in the Wharton School , and Psychology in the School of Arts and Sciences . His research focuses on explainable machine learning , deep learning , and natural language processing for psychology and medical research , analyzing social media and sensor data to understand well-being, empathy, and stress. His work spans bioinformatics , applied economics , and group decision-making . Recent publications examine LLM-based tutoring , cross-cultural translation , and AI in palliative care , showing trends in reinforcement learning , mobile health , and health data analytics . He has contributed to Google Scholar , PubMed , and DBLP with over 15 papers since 2023. Scientific Awards : 2019 Alan I. Leshner Leadership Institute Public Engagement Fellow His students include Vitoria Aquino Guardieiro , Yihao Li , and co-advised researchers like Shreya Havaldar with Eric Wong. He leads projects at interdisciplinary centers such as the Annenberg Public Policy Center , Center for Cognitive Neuroscience , and Institute for Translational Medicine .
Sebastian Raisch is a Full Professor of Strategic Management at the Geneva School of Economics and Management (GSEM), University of Geneva, where he also serves as Director of the Executive MBA program. He is affiliated with the Institute of Management and holds a Ph.D. from the University of Geneva. His academic work is deeply rooted in understanding how organizations balance stability and change, particularly in the face of digital transformation. Research Interests: His primary areas of expertise include strategic management, organizational ambidexterity, organizational paradox, artificial intelligence in organizations, and digital transformation. His research investigates the dynamics of corporate growth and decline, strategic renewal, and the integration of human and artificial intelligence in organizational decision-making. He is especially interested in how firms navigate tensions between competing demands such as exploration and exploitation, automation and augmentation, and stability and innovation. Publications and Trends: His recent publications (2023–2025) show a strong shift toward the role of artificial intelligence in management, with a focus on hybrid human-AI systems, ethical AI, and the strategic implications of AI adoption. Earlier works center on ambidexterity, paradox theory, and corporate turnaround, establishing him as a leading scholar in these domains. Scientific Awards: Strategic Management Society’s Best PhD Paper Award Emerald Publishing Group’s Citation of Excellence Award Journal of Management’s Scholarly Impact Award Editorial and Professional Service: Sebastian Raisch serves as Associate Editor at the Academy of Management Review and sits on the editorial boards of the Academy of Management Journal and the Strategic Management Journal . He has advised numerous doctoral students and supervised research projects on organizational innovation and digital strategy, though specific names are not listed in the provided materials. He has not received explicit mention of research grants, but his extensive publication record suggests active research funding. Labs and Research Teams: While no formal lab is mentioned, Raisch leads or contributes to research initiatives within the Institute of Management at GSEM, particularly in strategic management and digital innovation. He collaborates with scholars across Europe and the U.S., including notable co-authors like J. Schad, S. Krakowski, and M. Tushman.
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.
Aya Aboelenien is an Associate Professor in the Department of Marketing at HEC Montréal, a leading business school in Montréal, Canada. Her research focuses on morality and ethics in consumption, consumer culture theory, qualitative methods, aesthetics, and social media. She holds a Ph.D. (Marketing) from Concordia University, an M.B.A. and BBA from the American University in Cairo. Research Interests Aya’s work examines ethical consumption trends, influencer dynamics, and marketplace morality. She explores how brands navigate ethical dilemmas and how social media influencers shape consumer behavior. Her recent studies include analyses of cancel culture’s impact on brands, the ethical dimensions of influencer marketing, and meat consumption’s cultural symbolism. Recent Contributions Her 2024 papers in Journal of Brand Management and Journal of Business Research address brand response strategies to changing market logics and the formation of marketplace moral sentiments. Earlier work in Journal of Marketing Management (2023) and Consumption Markets & Culture (2022) further highlight her focus on ethical influencers and contested consumption practices. Awards & Supervision She received the Best Competitive Paper Award at the 2025 Consumer Culture Theory Conference. Since 2021, she has supervised five MSc projects on topics like green marketing, influencer strategies, and brand repositioning. She teaches courses in consultancy-based marketing research and strategic marketing. Affiliations Aya is affiliated with HEC Montréal’s marketing department and collaborates with global scholars on projects involving consumer ethics and digital marketing innovations.
Nikolai Roussanov is the Moise Y. Safra Associate Professor of Finance at the Wharton School, University of Pennsylvania, and a Faculty Research Fellow at the National Bureau of Economic Research. His research spans asset pricing, econometrics, household finance, and macroeconomics, with a focus on market dynamics and behavioral economic factors. His research interests include: Asset pricing anomalies and risk factor modeling Household financial decision-making under uncertainty Macroeconomic impacts on commodity and currency markets Behavioral finance and mental accounting mechanisms Recent publications analyze inflation risks across asset classes, corporate bond valuation, behavioral retirement strategies, and the role of leisure economics in declining work hours. His work frequently integrates empirical finance and econometric methodologies. Scientific contributions include: Faculty Research Fellow, National Bureau of Economic Research His scholarship bridges technical financial modeling with real-world economic phenomena, covering topics like oil price shocks, mortgage liquidity, and systemic market failures.
Zhi Da is the Howard J. and Geraldine F. Korth Chair in Finance and Professor of Finance at the University of Notre Dame , Mendoza College of Business, Department of Finance. He completed his Ph.D. in Finance at Northwestern University’s Kellogg School of Management (2006), preceded by an M.Sc. in Financial Engineering from the National University of Singapore (2001) and a B.B.A. with First-Class Honors (1999) from the same institution. Holding editorial roles at Journal of Finance , Management Science , Review of Financial Studies and several other top journals, he is a leading voice in empirical finance research. Education Ph.D. in Finance, 2006 – Kellogg School of Management, Northwestern University M.Sc. in Financial Engineering, 2001 – National University of Singapore B.B.A. (1st Class Honors), 1999 – National University of Singapore Research Interests Zhi Da’s scholarship sits at the intersection of asset pricing , behavioral finance , and market microstructure . He investigates how investor attention, institutional trading, liquidity frictions, and information flows jointly determine the cross-section of expected returns. His work delves into retail margin trading, the role of pension-fund flows in exchange-rate dynamics, the informational content of SEC filings, and the efficiency of short-selling mechanisms. By combining large-scale data analytics, textual analysis, and structural modeling, he uncovers novel predictors of returns ranging from presidential approval ratings to real-time attention measures. Recent projects explore fractional trading ’s impact on price efficiency, hedging demand as a driver of intraday momentum, and the hidden effort problem in delegated portfolio management. These themes collectively advance our understanding of limits to arbitrage and the formation of extrapolative beliefs. Publication Landscape Spanning 2025 back to 2009, his 15 most recent articles in Journal of Finance , Review of Financial Studies , Management Science , Journal of Financial Economics , and Journal of Financial and Quantitative Analysis converge on three broad motifs: (1) micro-level trading frictions—liquidity costs, margin requirements, and short-selling constraints; (2) macro-finance linkages—exchange rates, fiscal policy, and global capital flows; and (3) information economics—attention allocation, media analytics, and regulatory disclosures. The collective evidence demonstrates that seemingly small trading or informational frictions aggregate into large, persistent cross-sectional return predictability. Honors and Awards 2017 William F. Sharpe Award for Best Paper, Journal of Financial and Quantitative Analysis Lead-article distinctions in Journal of Finance , Review of Financial Studies , and Management Science Featured coverage in SmartMoney and CNBC Teaching & Mentorship At Notre Dame’s Mendoza College, Professor Da teaches Investments (undergraduate and MBA) and Fixed Income Securities , integrating cutting-edge research insights into the curriculum. While specific advisees are not listed, his extensive co-author network (22+ recurring collaborators) attests to a vibrant mentoring environment. Laboratory & Data Resources He publicly distributes the NAT (Net Arbitrage Trading) dataset, a stock-quarter panel of arbitrage positions used in Chen, Da & Huang (2019). This resource has become a standard tool for researchers studying arbitrage capital movements.
Airo Hino is a Professor at the Faculty of Political Science and Economics , Waseda University. He holds a Ph.D. in Government from the University of Essex and MA/BA in Political Science from Waseda University. His work spans Comparative Politics , Voting Behavior , and Political Communication , with a focus on populism , authoritarian values , and Twitter-based well-being indicators . Education: Ph.D. (University of Essex), MA/BA (Waseda University) His research explores electoral systems , party polarization , and social media's role in politics , including the development of the SWB-J index for measuring subjective well-being via Twitter. His 2021-2024 publications analyze populist attitudes, conspiracy theories, and electoral dynamics in Japan and global contexts. Scientific awards include: 2021 - Best Paper Award, International QCA Paper Development Workshop 2016 - Waseda Research Award (High-Impact Publication) 2015 - Okuma Memorial Academic Award 2015 - Best Article Award, Japanese Association of Electoral Studies He has received JSPS KAKENHI grants (2020-2025) for studies on political polarization and populism , and 2017-2022 grants for research on electoral system impacts .
Pranav Anand is a Professor in the Department of Linguistics at the University of California, Santa Cruz (UCSC). He currently serves as the Faculty Director of the Humanities Institute at UCSC since July 2023. His research focuses on the interplay between context, interpretation, and grammatical perspective, particularly in areas like de re/de se contrasts, evaluative predication, and indexical shift. He has contributed to studies on narrative structures, evidential restrictions, and the syntax-semantics interface in sluicing. Dr. Anand has taught a variety of courses including Ling 119: Narratives , Ling 231: Semantics A , and special topics like Invented Languages: From Elvish to Esperanto . His work bridges theoretical linguistics with computational methods, evidenced by collaborations in projects such as the Santa Cruz sluicing dataset and analyses of political discourse in online commentary. His research has been published in journals like Linguistics and Philosophy , Language , and Discourse and Society , with a focus on semantics, pragmatics, and narrative linguistics. He has also contributed to computational linguistics initiatives, including the development of annotated corpora for sentiment analysis and argumentation studies. Dr. Anand's academic contributions span both theoretical exploration and applied computational linguistics, reflecting his interdisciplinary approach to understanding language structure and usage.
Ming-Syan Chen is a distinguished academic holding dual roles as a Distinguished Research Fellow and Director of the Research Center for Information Technology Innovation (CITI) at Academia Sinica, Taiwan, and a Distinguished Professor jointly appointed across multiple departments at National Taiwan University (NTU), including Electrical Engineering (EE), Computer Science and Information Engineering (CSIE), and the Graduate Institute of Communication Engineering (GICE). His career spans academia and industry, with prior roles as a research staff member at IBM Watson Research Center and leadership positions in Taiwan's technology sector. Education: He earned a B.S. in Electrical Engineering from National Taiwan University, followed by M.S. and Ph.D. degrees in Computer, Information, and Control Engineering from the University of Michigan, Ann Arbor. Research Interests: Chen's work focuses on databases, data mining, machine learning, multimedia networking, and cloud computing. He has authored over 350 papers and holds numerous patents, contributing to foundational advancements in query processing, data management, and networked systems. Award Highlights: Recipient of ACM and IEEE Fellowships, National Chair Professorship (lifetime honor), Teco Award, Pan Wen Yuan Distinguished Research Award, and IBM's Outstanding Innovation Award. His contributions span research, teaching, and technology commercialization. Leadership & Service: Former Dean of NTU's College of Electrical Engineering and Computer Science, CEO of Taiwan's Networked Communication Program, and Editor-in-Chief of the International Journal of Electrical Engineering. He has chaired international conferences and served on editorial boards of journals like IEEE TKDE and VLDB. Labs & Teams: Leads the Network Database Laboratory and collaborates on national initiatives in information and communication technologies. His research groups focus on data science, distributed systems, and social network analysis.
Monica Trieu is an Associate Professor in the School of Interdisciplinary Studies at Purdue University, where she focuses on the intersection of race, ethnicity, and immigration with particular emphasis on children of immigrants. Her scholarly work bridges sociology and Asian American studies through critical examination of identity formation and systemic inequalities. Education: Ph.D. in Sociology, University of California, Irvine (Asian American Studies emphasis) Master's in Sociology, University of California, Irvine Research Focus: Professor Trieu's expertise spans International Migration, Post-1960s Immigrants and Refugees, 1.5 and Second-Generation Identity, Transnational Ties, and Historical/Contemporary Asian American Experiences. Her scholarship critically analyzes internalized racism, regional identity formation (particularly in the Midwest), and the psychological impacts of anti-Asian violence during the pandemic. She employs intersectional frameworks to explore how refugee experiences, cultural adaptation, and transnational connections shape ethnic identity among Southeast Asian Americans and other immigrant communities. Publication Trends: Her 2013-2024 publications reveal evolving engagement with contemporary crises—from pandemic-induced mental health challenges and anti-Asian violence to structural invisibility of Midwest Asian American communities. While maintaining core focus on identity negotiation among second-generation immigrants, her recent work expands into comparative analyses of Asian American/Latina/o transnational patterns and refugee resettlement experiences, demonstrating methodological versatility across ethnographic, survey, and media analysis approaches. Professional Impact: As author of Identity Construction among Chinese-Vietnamese Americans: Being, Becoming, and Belonging (2009) and publications in Journal of Ethnic and Migration Studies and Journal of Asian American Studies , Trieu has established herself as a key voice in Midwest Asian American scholarship. Her research directly informs institutional responses to rising anti-Asian sentiment and contributes foundational frameworks for understanding regional ethnic identity formation beyond coastal enclaves.
Ruihong Huang is an Associate Professor in the Department of Computer Science and Engineering at Texas A&M University, part of the College of Engineering. She holds a Ph.D. from the University of Utah (2014) and completed a postdoctoral fellowship at Stanford University. Her research focuses on Natural Language Processing (NLP) with emphasis on information extraction, event recognition, media bias analysis, and ethical AI applications. She teaches courses like Information Storage and Retrieval (CSCE 470), Natural Language Processing (CSCE 638), and has advised numerous PhD, Master’s, and undergraduate students. Key research contributions include work on event coreference resolution, discourse analysis, and detecting media bias through event relation graphs. Huang has developed benchmark datasets like UAL-Bench and EMONA, and her work spans applications in disaster management, fake news detection, and moral reasoning in LLMs. She is a recipient of the NSF CAREER Award and serves on program committees for top conferences like ACL and EMNLP. Her academic service includes roles as Area Chair for ACL 2024 and Senior Area Chair for EMNLP 2024. She maintains an active lab group focusing on NLP fundamentals and real-world applications, with projects involving propaganda identification, polarity calibration for opinion summarization, and multimodal dialog act classification. Huang has published over 80 papers in top-tier venues such as NAACL, EMNLP, ACL, and NeurIPS.
You-il (Chris) Park is an Associate Professor of Accounting at the University of Hawaii at Manoa’s Shidler College of Business, serving as Co-Chair of the Hawaii Accounting Research Conference (HARC) and Hawaii Accounting Research Doctoral Institute (HARDI). He holds the Accuity LLP Accounting Faculty Fellowship and coordinates the Accounting Ph.D. program. His research focuses on archival, economics-based studies examining how accounting standards, regulations, and corporate governance influence financial reporting, capital markets, and managerial decisions. Professor Park holds a Ph.D. in Business Administration (Accounting) from Duke University’s Fuqua School of Business, an M.A. in Economics from Duke University, and a B.S. in Management with Highest Honor and an Accounting Certificate from Georgia Institute of Technology’s Scheller College of Business. Prior to academia, he worked as an internal auditor at Georgia Power & Southern Company and as a computer programmer in the Republic of Korea Air Force. His research interests span topics such as IFRS impact on macroeconomics, credit rating affirmations, audit quality, and data analytics in operational efficiency. His work appears in top journals like The Accounting Review and Contemporary Accounting Research. Professor Park has received numerous accolades for teaching excellence, including the Presidential Citation for Meritorious Teaching (2025), Shidler College Professor of the Semester awards (2022–2025), and multiple nominations for the Board of Regents Medal for Teaching. His professional service includes roles as a doctoral consortium fellow and reviewer for prestigious journals. He actively contributes to academic communities through HARC and HARDI, fostering research collaboration and mentoring doctoral students. His curriculum development includes courses such as Accounting Capstone and Ph.D. seminars, emphasizing practical and theoretical mastery.
Yang Zhou is an Associate Professor in the Department of Computer Science and Software Engineering at Auburn University, part of the Samuel Ginn College of Engineering. His research focuses on big data algorithms, machine learning, data mining, and distributed computing. He has contributed to advancements in federated learning frameworks, graph mining tools, and spatial machine learning for environmental applications like flood mapping. Education includes a Ph.D. in Computer Science from Georgia Tech (2021), M.E. in Computer Application Technology from Chongqing University (2016), and B.E. in Engineering from Jiangnan University (2014). His work emphasizes scalable algorithms for large-scale systems, with tools like DirDense for dense subgraph mining and FedASMU for federated learning optimization. Recent publications explore adversarial robustness, blockchain strategies in IoT, and curriculum-based learning for large language models. He advises on interdisciplinary projects at the intersection of AI and environmental science.
Dr Ann Lewis is Senior Lecturer in French Studies at Birkbeck, University of London, within the School of Creative Arts, Culture and Communication . Since her appointment in 2008 she has held numerous leadership roles, including Subject Lead for Languages and Linguistics and programme director for several BA and MA programmes. Education: BA Joint Honours in History and French, New College, University of Oxford M.St. in European Literature, University of Oxford PhD in French Literature, Queen Mary, University of London PGC-HE (with distinction), Fellow of the Higher Education Academy Research Interests: Dr Lewis’s scholarship is situated at the intersection of eighteenth-century French literature and visual culture. Her work pursues two complementary strands: the first investigates text–image relations , exploring how eighteenth-century French novels were illustrated, re-imagined and circulated beyond the book through almanacs, extra-illustrated editions and domestic display. The second strand interrogates the representation of prostitution in eighteenth-century France, combining literary analysis with cultural history to illuminate questions of gender, commerce and morality. Both research lines deploy interdisciplinary methodologies that draw on illustration studies, adaptation theory and material bibliography. Publications profile: Across more than two decades, Dr Lewis has produced a monograph, three major edited collections and a series of peer-reviewed articles and book chapters (2004-2021). Her output charts an evolving focus from close readings of illustrated novels toward broader questions of intermediality, adaptation and the social lives of images, culminating in recent work on Rousseau’s Julie as material artefact. Honours & Awards: Leverhulme Early Career Fellowship, Leverhulme Trust (2009) Ronald Tress Prize, Birkbeck, University of London (2012) Haydn Mason Lecture, British Society for Eighteenth-Century Studies (2012) Nominated for Aurora Women into Leadership programme, Advance HE (2016) Doctoral supervision & grants: Dr Lewis welcomes proposals in eighteenth-century French literature and culture. She currently co-supervises two doctoral researchers: Miki Jablkowska – “The Reception and Cultural Adaptation of Voltaire in Eighteenth-Century Poland” Kirsten Tambling – “Watteau and Hogarth: Seduction, Space and Time” (awarded 2019) Laboratories, networks & teams: She is Co-founder and Co-convenor of the Birkbeck Eighteenth-Century Research Group , an interdisciplinary forum spanning French, English, History of Art and Comparative Literature. She additionally serves on the steering group of the Illustr4tio international research network devoted to illustration studies and is a member of the executive committee of AUPHF+ (Association of University Professors and Heads of French +).
Armin Falk is a Professor of Economics at the University of Bonn, leading the BonnEconLab since 2004 and co-founding the briq Institute on Behavior & Inequality. He holds affiliations with the IZA, DIW, CEPR, and Max-Planck-Institut. His research focuses on behavioral economics, exploring how social preferences like fairness and trust influence decision-making, and investigates early childhood development's role in inequality. Falk has received prestigious awards, including the Leibniz Prize and Yrjö Jahnsson Award. His work combines lab experiments, field studies, and representative data analysis. Education includes a PhD in Economics from the University of Zurich after studies in Economics, Philosophy, and History at the University of Cologne. Key research highlights include global climate action support studies (Nature Climate Change, 2024), socioeconomic disparities in child development (JPE, 2021), and global economic preferences surveys (QJE, 2018). He co-authored the book *Warum es so schwer ist, ein guter Mensch zu sein* to popularize behavioral economics. Awards include recognition for contributions to behavioral and development economics. Mentoring programs like *Balu und Du* aim to reduce educational inequality. His work bridges academic research with public discourse through media contributions and policy engagement.
