Contagion Processes Professors and Supervisors | ApplySharif

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Piotr WinkielmanView profile

Professor

University of California, San DiegoUnited States

Piotr Winkielman is a Professor of Psychology at the University of California, San Diego (since 2007), with affiliations at Warwick Business School (UK) and the Warsaw School of Social Sciences and Humanities (Poland). His research focuses on the interplay of emotion, cognition, embodiment, and consciousness in social cognition, employing methods from social/cognitive psychology and neuroscience. Key interests include unconscious emotion processing, facial mimicry, decision-making under emotional influence, and the neural basis of social perception. Education: PhD in Social Psychology (1997), University of Michigan MSc in Psychology (1991), University of Bielefeld, Germany BSc in Psychology (1988), University of Warsaw, Poland Research Interests: Winkielman explores how fleeting affective reactions influence behavior without conscious awareness, studying facial feedback mechanisms, emotional contagion, and the role of physiological signals in decision-making. His work bridges theories like Affect-As-Information and Facial Feedback, while challenging assumptions about the necessity of conscious processes in emotion. Grants & Funding: Supported by NSF Grant BCS-0350687 for studies on unconscious emotion and physiological feedback. Collaborations include projects on mimicry, stress effects, and cross-modal perception. Labs & Teams: Leads research at UCSD on embodied cognition and social neuroscience, with studies involving EEG, EMG, and behavioral experiments. International collaborations span UK, Poland, and Germany.

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Adrienne WoodView profile

Assistant Professor

University of VirginiaUnited States

Adrienne Wood is an Assistant Professor in the Department of Psychology at the University of Virginia. Her research lab, Emotion and Behavior Lab, investigates social connections through multimodal approaches including mobile sensing, social network analysis, and behavioral economics. She holds a Ph.D. from the University of Wisconsin-Madison and a B.A. from Colorado College. Wood's research examines how people form and maintain social ties across cultural divides, addressing loneliness through analysis of nonverbal behavior, emotion contagion, and network dynamics. Her work emphasizes: Behavioral mechanisms of connection (laughter, synchrony) Social network formation in diverse communities Cross-cultural relationship building She employs innovative methodologies like acoustic analysis and agent-based modeling. Her recent publications (2023-2025) demonstrate strong focus on: Emotional communication in evolving relationships Cultural influences on social competence Crisis impacts on behavior Nonverbal synchronization mechanisms Longitudinal analysis of social interactions No scientific awards are mentioned in the source material. Wood leads the Emotion and Behavior Lab, studying verbal/nonverbal behaviors underlying social bonds. Her team explores: Real-world interaction patterns Diverse community integration Computational social science approaches

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Alex ArenasView profile

Professor

University of CopenhagenDenmark

Alex Arenas is a Full Professor in the Department of Computer Engineering and Mathematics at Universitat Rovira i Virgili (URV), Tarragona, Spain. He is also an External Faculty member at the Complexity Science Hub in Vienna and Chief of Complex Systems Science at the Pacific Northwest National Laboratory, USA. His research spans complex systems, network science, computational epidemiology, and multilayer dynamics, with applications in public health, neuroscience, and social systems. Research Interests: His work focuses on the physics of multilayer networked systems, particularly the interplay between structure and function in complex networks. Key areas include synchronization, epidemic modeling, network medicine, the physics of the microbiome, and higher-order interactions in spreading processes. He investigates dynamic transitions using functional multilayer frameworks and develops models for real-world systems like urban mobility and misinformation diffusion. The recent articles highlight a strong trend in computational epidemiology, especially post-COVID modeling of vaccination strategies, rebound dynamics, and wastewater surveillance. There is also significant work on synchronization in oscillator networks, chimera states, and higher-order network effects, reflecting a deep engagement with nonlinear dynamics and theoretical network science. Applications span medicine, urban planning, and social systems. Scientific Awards: Fellow, American Physical Society (2018) Fellow, Network Science Society (2020) ICREA Academia (2011, 2017, 2022) Narcís Monturiol Medal (2022) Web Science Trust Test of Time Award (2024) Complex Systems Society Senior Award (2024) Advising and Grants: Arenas has supervised numerous PhD students and postdoctoral researchers, though specific names are not listed. He has been Principal Investigator on 47 research projects, including EU FP7 projects, a James S. McDonnell Foundation grant, and Horizon Europe's CREXDATA project. He has served as an editor for Physical Review E , Journal of Complex Networks , and Network Neuroscience , and has reviewed for major funding agencies including ERC, MINECO, and international bodies. Labs and Teams: He leads the Alephsys Lab at URV, which develops tools like Radatools for network analysis and community detection. His team focuses on interdisciplinary modeling of real-world complex systems using data-driven and theoretical approaches.

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Subhabrata SenView profile

Assistant Professor

Harvard UniversityUnited States

Subhabrata Sen is an Assistant Professor of Statistics at Harvard University, located in Science Center 713, Cambridge. His research focuses on Applied Probability, Statistics of Networks, Signal Detection, and Machine Learning. He holds a PhD from Stanford University (2017), advised by Amir Dembo and Andrea Montanari, and prior degrees from the Indian Statistical Institute, Kolkata. His work bridges statistical theory, high-dimensional data analysis, and applications in networks and physics-inspired methods. Key contributions include foundational studies on spin glasses, community detection, and causal inference in complex systems. His research often employs mean-field techniques and explores universality principles in estimation problems. Selected awards and recognition are not explicitly mentioned in the provided text. His advising and grants include postdoctoral mentoring at Microsoft Research and MIT (2017-19). He collaborates on projects involving spectral methods, random matrix theory, and multi-layer network analysis. Labs/teams: Active in Harvard's Statistics Department research groups focused on statistical theory and network science. Maintains an academic website with preprints and resources.

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Abraham L NewmanView profile

Professor

Georgetown UniversityUnited States

Abraham L. Newman is a Professor at the Edmund A. Walsh School of Foreign Service and the Government Department at Georgetown University, where he also serves as Director of the BMW Center for German and European Studies. His work bridges political science, international relations, and global regulatory studies, with a focus on the intersection of economic interdependence and political power. PhD in Political Science – University of California, Berkeley MA in Political Science – University of California, Berkeley MA in International Relations – Stanford University BA in International Relations – Stanford University His research centers on globalization, data privacy, financial regulation, and weaponized interdependence . He investigates how transnational networks, particularly in finance and digital infrastructure, are leveraged for geopolitical advantage. His work emphasizes the evolving role of private actors, regulatory institutions, and technological change in shaping international order. Analysis of his recent publications reveals a strong focus on economic statecraft, digital sovereignty, AI governance, and transatlantic regulatory dynamics . Themes such as financial sanctions, data privacy enforcement, and the weaponization of global networks recur across his scholarship, reflecting a cohesive research agenda on power in an interconnected world. While no specific scientific awards are listed in the provided text, his publications in top journals like Science , Nature , International Organization , and World Politics indicate significant scholarly recognition. He has advised or collaborated on major research projects related to transnational regulation, GDPR implementation, and global financial governance . Although no specific grants are listed, his leadership of the BMW Center suggests involvement in externally funded research initiatives. He has also edited or contributed to collaborative academic volumes across institutions such as Princeton and Rice Universities. His leadership of the BMW Center for German and European Studies places him at the center of a research team focused on transatlantic relations, EU policy, and comparative political economy. This center likely supports a network of scholars, students, and visiting researchers engaged in European and global governance studies.

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Cristi A. GleasonView profile

Professor

University of IowaUnited States

Cristi A. Gleason is a Professor of Accounting at the Tippie College of Business, University of Iowa, holding the prestigious Carlson-KPMG Research Professorship. As Editor of The Accounting Review , she shapes scholarly discourse in the field. Her 20-year academic career spans roles at the University of Arizona and leadership as Department Executive Officer (2020-2024). PhD in Management, Cornell University MS in Business and Public Administration, Cornell University MAC in Accounting, Brigham Young University BS in Accounting, Brigham Young University Professor Gleason's research focuses on corporate financial reporting , particularly income tax disclosures , analyst forecasts , and corporate governance . Her work examines how firms strategize around unrecognized tax benefits , interim reporting , and the information environment created by analyst interactions. Over 20 publications in top journals explore these intersections, emphasizing regulatory impacts like FIN 48 and strategic board composition. Recent research trends include: Worker representation effects on corporate tax behavior Accuracy of tax expense estimation frameworks Contagion risks in accounting restatements Construct validity in accounting measurement Post-Reg FD selective disclosure mechanisms Political economy of accounting standard adoption Scientific Recognition : American Tax Association Manuscript Award (2007) Public Interest Section AAA Best Paper (2020) Recipient of multiple teaching honors, including the Gilbert P. Maynard Award (2013, 2017) and Dean's Teaching Award (2006), she mentors doctoral students through her PhD seminar while maintaining editorial service on Contemporary Accounting Research (2010-2021).

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Luke CooperView profile

Associate Professor

London School of Economics and Political Science (LSE)United Kingdom

Luke Cooper is an Associate Professorial Research Fellow in the Department of International Relations at the London School of Economics and Political Science (LSE), where he is affiliated with the Conflict and Civicness Research Group. He serves as Director of PeaceRep’s Ukraine programme, leading interdisciplinary research teams across six global institutions and a broader network of scholars in Ukraine and the region. His academic work sits at the intersection of historical sociology, political theory, and international relations. His research interests include nationalism, authoritarianism, democracy, uneven and combined development, conflict, and systemic societal transformation. Dr Cooper’s work combines theoretical innovation with empirical analysis, drawing on both historical and contemporary case studies to examine processes of social and political change. His recent publications explore themes such as the global threat of authoritarian contagion, the historical evolution of national identity in the British Atlantic, and the political imaginaries in science fiction literature. These works reflect a consistent engagement with macro-historical processes and structural transformations in global politics. Authoritarian Contagion; the Global Threat to Democracy (2021) Imagined communities: from subjecthood to nationality in the British Atlantic (2022) Worlds beyond capitalism: images of uneven and combined development in Kim Stanley Robinson’s Mars trilogy (2021) Dr Cooper has been involved in significant policy advocacy and public engagement, co-founding the campaign group Another Europe Is Possible and co-hosting the Another Europe podcast. He has led projects on Brexit impacts and international solidarity with Ukraine. He previously served as a visiting fellow at the Institute of Human Sciences (IWM) in Vienna and has taught at Anglia Ruskin University, Richmond American University London, and the University of Sussex. He leads multiple funded research initiatives, including PeaceRep’s Ukraine programme, which conducts evidence-based policy analysis on Ukraine’s war economy and investigates the broader phenomenon of global fragmentation beyond traditional geopolitics. His work emphasizes transnational interconnections in the defense of national sovereignty. Dr Cooper completed his PhD in International Relations at the University of Sussex, holds an MSc in Comparative Politics from LSE, and a BA in Political Studies from the University of Leeds.

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B. Pablo MontagnesView profile

Associate Professor

Emory UniversityUnited States

B. Pablo Montagnes is an Associate Professor of Political Science and Quantitative Theory and Methods at Emory University. He holds a Ph.D. in Managerial Economics and Strategy from the Kellogg School of Management, Northwestern University (2010). Before joining Emory in 2015, he was an Assistant Professor at the Harris School of Public Policy, University of Chicago. His research focuses on formal political theory and political economy, with a particular emphasis on strategic behavior in legislative settings, regulatory policy, and public opinion dynamics. Key topics include partisan approval rates, legislative bargaining, and the design of organizational and market mechanisms. Montagnes has published in leading journals such as the Journal of Politics , American Economic Review , and Proceedings of the National Academy of Sciences (PNAS) . Education: Ph.D. in Managerial Economics and Strategy, Kellogg School of Management, Northwestern University (2010) Previous Affiliation: Harris School of Public Policy, University of Chicago (Assistant Professor) Teaching: QTM 110 (Scientific Methods), QTM 315 (Game Theory) Montagnes’ work addresses questions like how regulatory uncertainty affects firm investment, the strategic implications of sequential voting in legislatures, and the reliability of survey-based partisan approval metrics. His recent projects explore polarization incentives, internal labor markets, and the role of lobbyists in policy gatekeeping. He currently holds an office at 311 Tarbutton Hall, Emory University, and can be contacted via email . No awards are explicitly listed in the provided materials.

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Philipp K. MasurView profile

Assistant Professor

Vrije University AmsterdamNetherlands

Philipp K. Masur is an Assistant Professor in the Department of Communication Science at Vrije Universiteit Amsterdam and Managing Director of the Digital Media and Behavior Lab. He holds a PhD in Social Sciences from the University of Hohenheim and has previously worked at the Universities of Mainz and Hohenheim. His research focuses on digital communication, social media impacts, privacy/self-disclosure dynamics, media literacies, and well-being, with a focus on behavioral contagion and open science practices. Education: PhD in Social Sciences (University of Hohenheim, 2018) MSc in Communication Science (Johannes Gutenberg University Mainz) Studies in Economic Sciences and Philosophy (Macquarie University Sydney) Research Interests: Interdisciplinary studies on social media's societal impact, leveraging survey, experimental, and computational methods. Key areas include privacy paradox, media literacy, and the role of social norms in online behavior. Awards: ICA Top Faculty Paper Award (2020, 2019) APC Young Scholars Award (2018) VENI Innovation Grant (NWO, 2022) Grants & Labs: Leads the VENI-funded project on behavioral contagion on social media. Manages the Digital Media and Behavior Lab, fostering collaborative research on digital society challenges.

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Steven LivingstoneView profile

Associate Professor

Ontario Tech UniversityCanada

Steven Livingstone is an Associate Professor in the Department of Computer Science at Ontario Tech University, Faculty of Science. His research focuses on affective data science, applying machine learning and statistical modeling to understand emotion and its disorders. He leads the Affective Data Science Lab (ADSL), specializing in emotion recognition technologies using physiological data like EEG and motion capture. Livingstone holds a PhD from The University of Queensland (2008) and has published over 70 peer-reviewed papers, with over 2,400 citations. His RAVDESS dataset is widely used in speech emotion recognition research. His research interests span data science, affective computing, and music's role in emotion. Recent work emphasizes data provisioning for deep learning applications. Livingstone teaches courses including Scientific Data Analysis and Information Visualization. He actively mentors undergraduate and graduate students in his lab, focusing on research assistantships in emotion technology development. Key contributions include studies on musical tempo’s physiological effects, Parkinson’s disease facial mimicry deficits, and ensemble performance dynamics. His work has been featured in The Atlantic, NBC Today, and on the cover of Informatik Spektrum. The ADSL lab collaborates on projects combining data analytics with human-computer interaction to advance emotion-aware systems.

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Renita ColemanView profile

Associate Professor

University of Texas at AustinUnited States

Renita Coleman is an Associate Professor at the University of Texas at Austin's School of Journalism and Media, where she has taught since 2005 after achieving tenure in 2009. With expertise in agenda-setting theory, visual communication, and media ethics, she has authored over 30 peer-reviewed articles and two influential books: 'Designing Experiments for the Social Sciences' (2018) and 'The Moral Media' (2005). Her research examines how visual elements shape ethical reasoning and public perception in news media. Her academic credentials include: Ph.D. in Journalism, University of Missouri (2001) M.A. in Journalism, University of Missouri (1997) B.S. in Journalism, University of Florida (1979) Coleman's research program centers on the intersection of visual communication and moral decision-making in journalism. She investigates how photographs influence ethical reasoning among journalists, the framing of health news through visual elements, and racial dynamics in journalistic ethics. Her work employs experimental methods to analyze affective agenda-setting, where emotional responses to visual stimuli shape public priorities. This approach bridges communication theory with practical journalism ethics. Recent publications reveal intensifying focus on polarization mechanisms, climate change communication, and fact-checking efficacy. Coleman's scholarship increasingly examines how adaptive framing strategies overcome audience resistance, particularly regarding scientific consensus issues. Her methodological rigor in experimental design provides robust evidence for how visual and emotional elements drive media effects beyond traditional textual analysis. Professor Coleman has received extensive recognition for scholarly excellence: Multiple AEJMC top paper awards across divisions (2002-2014) Teacher of the Year at LSU (2002-2004) Ranked #1 for AEJMC convention productivity (1999-2008) She teaches doctoral seminars in qualitative methods and experimental design while mentoring graduate students in visual communication and ethics research. As associate editor of Journalism & Mass Communication Quarterly, she shapes scholarly discourse in the field. Though specific grant funding isn't detailed in available materials, her sustained publication record demonstrates consistent research activity. Coleman's background as a 15-year newspaper professional (including roles at the Raleigh News & Observer and Orlando Sentinel) informs her applied research perspective.

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Misa FaezipourView profile

Associate Professor

Middle Tennessee State UniversityUnited States

Dr. Misa Faezipour is an Associate Professor in the Department of Engineering Technology at Middle Tennessee State University (MTSU) and director of the Systems Engineering Lab (SEL). She holds a Ph.D. and M.Sc. in Industrial Engineering and Engineering Management from the University of Texas at Arlington and a B.Sc. in Software Engineering from Islamic Azad University North Tehran Branch. Her research focuses on system dynamics modeling, healthcare systems engineering, complex systems, and sustainability optimization. Dr. Faezipour has advised numerous graduate students in M.S. and Ph.D. programs, focusing on topics such as healthcare disparities, AI robustness, and policy impact analysis. She teaches courses including Engineering Economy, Operations Management, and Engineering Management Systems. Her work spans collaborations with institutions like NASA, the Systems Engineering Research Center, and healthcare organizations. Her recent publications emphasize AI-driven healthcare solutions, system dynamics applications in policy analysis, and optimizing healthcare delivery through data-driven models. She actively contributes to professional organizations such as INCOSE, IEEE, and the System Dynamics Society. Dr. Faezipour’s lab, SEL, develops innovative tools for healthcare informatics, including diagnostic recommenders and policy simulation frameworks. Her research bridges systems engineering with healthcare challenges, addressing issues like racial health inequities and pandemic response strategies.

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PJ LambersonView profile

Associate Professor

Northwestern UniversityUnited States

PJ Lamberson is an Associate Professor in the Communication Department at the University of California, Los Angeles (UCLA), serving as departmental Vice Chair and Director of Graduate Studies since 2023. He holds a Ph.D. in Mathematics from Columbia University (2006) and has held prior faculty positions at MIT Sloan School of Management and the Kellogg School of Management, where he also served as Associate Director of the Northwestern Institute on Complex Systems (NICO). His research focuses on social influence, networks, and collective intelligence, with interdisciplinary applications in political science, epidemiology, and computational social science. **Education**: B.A. Mathematics (University of Chicago, 2001), M.A., M.Phil., and Ph.D. in Mathematics (Columbia University, 2003–2006). He has received funding from NIH, UCLA, and other institutions for projects like "Team Dynamics, Networks, and Assembly (Team DNA)" ($1.7M) and "Network Games with Local Correlation and Clustering" ($5K). **Research Interests**: Explores how individual interactions aggregate into collective outcomes, including social contagion, network structures, and hybrid predictive systems. Recent work addresses voter turnout dynamics, obesity prevention via agent-based models, and optimal networks for problem-solving. **Awards**: IC2S2 Best Paper Award (2021), multiple Faculty Impact Awards (2013–2014), and recognition for contributions to teaching and interdisciplinary research. **Teaching**: Offers courses like Computational Communication (PhD), Social Networking (undergraduate), and Methodologies of Communication Research. Supervised over a dozen PhD and master’s students, including Gülşah Akçakır and Seonhye Noh. **Professional Roles**: Associate Editor of *System Dynamics Review*, contributor to international conferences, and frequent speaker on topics like computational social science and network theory.

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Benoît MoninView profile

Professor

Stanford UniversityUnited States

Benoît Monin is the Bowen H. and Janice Arthur McCoy Professor of Ethics, Psychology, and Leadership at Stanford University, holding dual appointments in the Department of Psychology (School of Humanities and Sciences) and the Organizational Behavior area of the Stanford Graduate School of Business (GSB) . He has been with Stanford since 2001, advancing from Assistant Professor to full Professor by 2012. His research focuses on moral psychology, identity dynamics, leadership ethics, and societal implications of technology , with notable work on viral outrage, AI’s impact on human identity, and moral licensing. Monin earned a PhD in Psychology from Princeton University (2002) , an MSc in Social Psychology from the London School of Economics (1995) , and an ESSEC Diploma in Management (1994) . He has held visiting roles at the University of Michigan and Paris X Nanterre. His teaching includes courses like Acting with Power and executive programs on leadership and sustainability. Research Highlights: Monin’s work bridges social psychology and organizational behavior, exploring how people navigate moral dilemmas, react to identity threats, and perceive ethical leadership. Recent studies address the psychological effects of AI advancements and viral social media dynamics. Awards: Recognized with prestigious fellowships including the Hank McKinnell-Pfizer Faculty Fellow (2023–24), and the Dean’s Award for Distinguished Teaching (2005). His military honor, the Médaille de Bronze de la Défense Nationale (1996) , underscores his multidimensional career. Leadership & Outreach: Co-Director of the Leading with an Improv Mindset initiative, emphasizing adaptive leadership skills. Engages widely in media discussions on ethics, AI, and social psychology through platforms like Stanford Business Insights .

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Vito LatoraView profile

Professor

University of CopenhagenDenmark

Vito Latora is a Professor of Applied Mathematics and Chair of Complex Systems at the School of Mathematical Sciences, Queen Mary University of London, and also holds the position of Professor of Theoretical Physics at the University of Catania. He leads the Complex Systems and Networks Group, driving cutting-edge research at the intersection of physics, mathematics, and interdisciplinary sciences. His research focuses on complex systems, particularly the structure and dynamics of networks, including multiplex, temporal, and higher-order networks such as simplicial complexes and hypergraphs. He explores applications in social, biological, financial, and cognitive systems, with recent work on creativity, innovation, and success through network analysis. The 15 most recent publications reveal a strong trend in advancing network theory beyond pairwise interactions, with a focus on higher-order structures, memory effects, synchronization, and epidemic spreading. His work combines rigorous mathematical modeling with real-world applications, often published in high-impact journals like Nature Communications , Physical Review Letters , and Science Advances . Dual communities in spatial and biological networks Modeling epidemics with limited detection resources Synchronization via higher-order and directed interactions AI-driven financial risk management Evolutionary games on hypergraphs Interdisciplinary success and funding dynamics Vito Latora has mentored several researchers who appear as co-authors, including Iacopini, Williams, Di Bona, and Lacasa. While specific grants are not listed, his collaborative projects with neuroscientists and anthropologists, along with frequent publications, suggest active funding. He is involved in major scientific events such as NetSci 2023, indicating leadership in the network science community. He leads the Complex Systems and Networks Group at Queen Mary, fostering a collaborative environment for studying complex systems through theoretical, computational, and data-driven approaches.

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