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Pa HerView profile

Assistant Clinical Professor

University of Wisconsin-MadisonUnited States

Pa Her is a Clinical Assistant Professor of Counseling Psychology and Director of the Counseling Psychology Training Clinic at the University of Wisconsin-Madison's School of Education. Her research and clinical work focus on supporting underrepresented college students and advancing mental health equity within Southeast Asian American communities. Education: PhD in Counseling Psychology, University of Wisconsin-Madison (2020) MA in Counseling, University of Wisconsin-Madison (2011) BS in Human Development and Family Studies, University of Wisconsin-Madison (2008) Research Interests: Dr. Her investigates educational/vocational development of low-income, first-generation, and students of color using mixed methods. Her work examines Hmong parental support systems, Southeast Asian American mental health, and trauma-informed care in predominantly white institutions. She integrates cultural identity frameworks with clinical practice to address systemic barriers in higher education. Publication Trends: Her 2016-2022 publications reveal consistent focus on culturally grounded interventions for Southeast Asian students, with increasing emphasis on community-based mental health programming. Key themes include psychosociocultural educational models, student distress predictors, and internship experiences through student-centered lenses. Scientific Awards: WAEOPP TRIO Achievers (2025) APA Outstanding Early Career Professional Supervisor/Trainer (2023) AAPA Post-Doctoral Leadership Fellow (2020) Advising and Grants: While specific advising records aren't detailed, her clinical directorship implies oversight of trainees. Grant activity isn't explicitly mentioned, though her AAPA fellowship suggests competitive funding acquisition. Labs and Teams: As Director of the Counseling Psychology Training Clinic, she leads clinical training operations providing mental health services to students while supervising doctoral trainees in evidence-based therapeutic practices.

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Jared FletcherView profile

Associate Professor

Mount Royal UniversityCanada

Jared Fletcher, PhD, is an Associate Professor at Mount Royal University (MRU), currently on sabbatical from July 2024 to July 2025. He holds a PhD in Applied Muscle Physiology from the University of Calgary, an MSc from the same institution, and a Bachelor of Exercise and Sport Science (BESS) from the University of Manitoba. His teaching focuses on Biomechanics, Exercise Physiology, and Statistics. Dr. Fletcher’s research integrates physiology and biomechanics to study muscle-tendon interactions, exercise-related fatigue across the lifespan, and the application of exercise in clinical and elite athletic contexts. His work has explored topics such as the role of Achilles tendon stiffness in running economy, the effects of footwear design on running biomechanics, and the physiological adaptations to concentrated training periods. Before joining MRU, he served as a Sport Physiologist for the Canadian National Para-swimming team, supporting Paralympic athletes at major competitions. His postdoctoral research at MRU involved assessing novel methods for evaluating exercise fatigue in elite athletes and leading hospital-based health initiatives. His publications emphasize biomechanical and physiological insights, with a focus on translating findings into practical applications for improving athletic performance and clinical rehabilitation. He contributes to research through institutions like the Institute for Community Prosperity and the Institute for Innovation and Entrepreneurship at MRU.

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Yuri MishinaView profile

Associate Professor

Imperial College LondonUnited Kingdom

Yuri Mishina is an Associate Professor of Organisational Behaviour & Strategy at the Department of Management and Entrepreneurship, Imperial College Business School. He holds a Ph.D. and MBA from the University of Illinois at Urbana-Champaign and a B.A. in Economics from the University of Chicago. Previously, he served as an Assistant Professor at Michigan State University. His research focuses on informal corporate governance, exploring how top management teams and stakeholder beliefs shape strategic choices, with an emphasis on reputational dynamics, stigma, cognitive biases, and illegal corporate activities. He has published in top journals like the Academy of Management Journal and Strategic Management Journal . Mishina serves on the editorial review boards of several prestigious journals and holds an International Research Fellowship at the Oxford University Centre for Corporate Reputation. His work bridges organizational theory, strategic management, and behavioral economics to understand ethical and unethical firm behaviors.

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CHONG Yuan YiView profile

Senior Lecturer

National University of SingaporeSingapore

CHONG Yuan Yi is a Senior Lecturer at the Department of Chemistry, Faculty of Science, National University of Singapore. He holds a Ph.D. (2014) and B.Sc. (First Class Honors, 2009) from NUS. His work focuses on innovative teaching methodologies including blended learning, technology-enabled active learning (TEAL), and peer instruction frameworks. He has received multiple awards for teaching excellence, including the Annual Teaching Excellence Award (ATEA) and Faculty Teaching Excellence Award (FTEA). Education: Ph.D., National University of Singapore, 2014 B.Sc. Hons. (First Class), National University of Singapore, 2009 Research Interests: Dr. Chong emphasizes personalized, inclusive, and flexible learning through the Community of Inquiry (CoI) framework. He develops peer instruction strategies to enhance engagement and employs PeerWise for collaborative learning in chemistry education. His work addresses threshold concepts and creates psychologically safe learning environments. Notable contributions include redesigning the gateway course Chemistry – The Central Science (CM1102) and pioneering the SI2 course Decoding Home and Personal Care Products (HSI2006). Teaching & Grants: He contributed to 3 key courses in AY2024/25: CM1102, CM5241, and HSI2006. His grants include the NUS-FoS Blended Learning 2.0 Ambassador program and participation as a judge in the CHS Case Competition 2023. He received the 2022 geNiUSchannel Competition awards and the 2023 NUS Achievement Awards for staff advising. Labs/Teams: Actively involved in the Department of Chemistry's administrative and educational initiatives, though no dedicated lab is explicitly mentioned.

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Marlon Twyman IIView profile

Assistant Professor

University of Southern CaliforniaUnited States

Marlon Twyman II is an Assistant Professor of Communication at the University of Southern California (USC) Annenberg School for Communication and Journalism. His expertise lies in computational social science, social networks, and digital collaboration. He merges perspectives from social sciences and STEM to study team formation, online communities, and organizational behavior in the digital age. Education: PhD in Technology and Social Behavior (dual degree in Communication Studies and Computer Science), Northwestern University MS and BS in Biomedical Engineering, Wright State University His research focuses on how teams and organizations form in collaborative platforms, with applications to healthcare quality, IT implementation, and policy. Supported by grants from NSF, NASA, and the Air Force Research Lab, his work has been published in journals like New Media & Society , Journal of Computer-Mediated Communication , and Social Networks . Awards: NSF CISE Research Initiation Initiative Grant (2021) USC Provost Assistant Professor Fellowship (2019) He teaches courses such as Understanding Social Science Research and Organizational Communication and has contributed to media discussions on topics like workplace dynamics and digital equity. His research lab focuses on advancing computational methods for studying networked collaboration.

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John DuffyView profile

Professor

University of California, IrvineUnited States

John Duffy is a Professor of Economics at the University of California, Irvine (UCI), where he leads the Experimental Social Science Laboratory (ESSL). He also holds affiliated faculty positions at Osaka University's Institute of Social and Economic Research and has been a Visiting Professor at institutions like King’s College London, Universitat Pompeu Fabra, and the Federal Reserve Bank of St. Louis. His research focuses on micro-foundations of macroeconomic activity, experimental economics, and learning models, with emphasis on decision-making under uncertainty, asset pricing, and policy design. Education: PhD in Economics from UCLA (1992), MA in Economics from UCLA (1988), and AB in Economics from UC Berkeley (1986, High Honors). Prior to UCI, Duffy held professorships at the University of Pittsburgh (1992–2014) and has extensive visiting roles globally. Research interests span experimental macroeconomics, behavioral economics, and computational methods. Notable work includes studies on liquidity constraints, ETFs' impact on asset markets, and experimental validation of macroeconomic theories like the Lucas asset pricing model. His grants include NSF funding for lifecycle savings research and collaborative projects on financial stability and AI-human interactions. Awarded the American Economic Review Excellence in Refereeing (2012). He has supervised 23 PhD students, many in prominent academic and policy roles. Duffy serves as Editor-in-Chief of Experimental Economics and Associate Editor of multiple journals, with a focus on advancing experimental methodologies and interdisciplinary research. Labs/Teams: Director of UCI's ESSL and co-founder of the Pittsburgh Experimental Economics Laboratory (PEEL). Active in organizing global workshops like the Annual Experimental Macroeconomics Forum and SWEBE conferences.

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Renee WeverView profile

Professor

Linköping UniversitySweden

Renee Wever is a Professor of Industrial Design Engineering at Linköping University, Sweden, within the Department of Management and Engineering (IEI). Her research focuses on user-centered design for sustainability and circularity, alongside practices of design. She leads the Design research area, emphasizing packaging sustainability and systemic approaches to environmental challenges. Academically, she holds a PhD from Delft University of Technology (2009) and an MSc in Industrial Design Engineering (2003). She teaches in the PhD program in design, the international master’s program in design (MDES), and courses on design and product development. Her editorial roles include the Journal of Design Research and Packaging Technology and Science . Her work spans interdisciplinary collaboration, exploring topics like consumer behavior in packaging-free systems, design team dynamics, and circular design education. Notable contributions include frameworks for sustainable interventions and strategies for repurposing in circular economies. Renee actively engages in global academic networks, co-creating educational platforms and promoting innovation through storytelling and creative problem-solving. Her research often bridges theory and practice, addressing real-world challenges like food waste reduction and sustainable packaging solutions.

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Edward B. KangView profile

Assistant Professor

New York UniversityUnited States

Edward B. Kang is an Assistant Professor in the Department of Media, Culture, and Communication at New York University’s Steinhardt School. He co-directs a National Endowment for the Humanities (NEH)-funded project titled Machine Listening in the Age of Artificial Intelligence and co-organizes the AI in Society group at the Institute for Public Knowledge (IPK). His research explores how voice AI systems reconfigure human voices into measurable mechanisms, challenging assumptions about intelligence, emotion, and perception through frameworks spanning STS, philosophy of science, and sound studies. Education: Ph.D. in Communication with a graduate certificate in Science & Technology Studies from the University of Southern California’s Annenberg School. Previously affiliated with the AI research collective Knowing Machines (Sloan Foundation-funded) and served as Assistant Editor for the International Journal of Communication . Research focuses on intersections between AI, cognitive psychology, neuroscience, and digital platforms like Spotify and Tinder. His current book project, Machine Voices (MIT Press), examines voice AI systems’ epistemological underpinnings. Recent publications address AI benchmarking cultures, biometric data formation, and algorithmic policing infrastructure. Grants/Advising: NEH grant for Machine Listening project. No listed advisees but collaborates widely with interdisciplinary teams. Active in public knowledge initiatives through IPK and ACM conferences. Labs/Teams: Co-leads AI in Society at IPK; affiliated with NYU’s Media, Culture, and Communication program. Previously part of USC’s Knowing Machines collective.

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Anja SchulzeView profile

Associate Professor

University of ZurichSwitzerland

Prof. Dr. Anja Schulze is an Associate Professor for Mobility and Digital Innovation Management at the University of Zurich's Department of Business Administration, within the Faculty of Business, Economics and Informatics. She holds a DIZH Bridge Professorship, strengthening ties between UZH and ZHAW in research collaboration. Her research focuses on digital technologies' impact on organizational learning and innovation within the automotive and mobility sectors, employing both qualitative and quantitative methods. She leads the swiss Center for Automotive Research (swiss CAR) and chairs the DSI Community Mobility. Education includes a PhD from the University of St. Gallen, a habilitation at ETH Zurich, and an SNSF Professorship. Her work appears in top journals like the Strategic Management Journal and has been featured in media such as SRF Tagesschau. Key projects include the Automobil Industrie Studie and initiatives promoting sustainable mobility ecosystems. Research trends emphasize innovation dynamics in evolving industries, strategic capabilities, and cross-country analyses. Awards include the prestigious Swiss National Science Foundation Professorship. She advises on innovation strategies and collaborates widely to address challenges in technology-based industries.

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Erwin FieltView profile

Senior Lecturer

Queensland University of TechnologyAustralia

Dr. Erwin Fielt is a Senior Lecturer at the School of Information Systems within the Faculty of Science at Queensland University of Technology (QUT). He holds a PhD from Delft University of Technology and an MSc from the University of Twente, both in the Netherlands. His research focuses on the intersection of business strategy and information technology, emphasizing innovation, digital transformation, and data-driven business models. Current roles include Academic Lead Learning & Teaching in the School of Information Systems and Co-lead of the Algorithmic Enterprise theme at QUT's Centre for Future Enterprise, collaborating with the Technical University of Munich's KrcmarLab. Research Interests: Dr. Fielt's work explores digital business models, AI governance, platform ecosystems, and the strategic application of emerging technologies. His recent studies address topics such as metaverse entrepreneurship, value creation in digital platforms, and the governance challenges of data-driven enterprises. Awards: He has received the Best Paper Award at ICRIIS 2011 and the Best Poster Award at dg.o 2008. His teaching includes advanced units like IT Governance (IFN631) and the IT Capstone Project (IFB399), with a focus on preparing students for digital innovation challenges. Advising & Grants: Dr. Fielt has supervised doctoral and master's students on topics like shared services, software-as-a-service adoption, and enterprise architecture. His research collaborations span industry and academic institutions globally, addressing challenges in digital innovation, platform ecosystems, and public-sector AI applications. Labs/Teams: He contributes to QUT's Centre for Future Enterprise and Centre for Data Science, leading initiatives in algorithmic enterprise strategies and digital innovation frameworks.

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Erik NystromView profile

Lecturer

City, University of LondonUnited Kingdom

Erik Nystrom is a composer and academic at City, University of London, specifically affiliated with City St George's, where he conducts research and artistic work in electroacoustic and computer music. His practice centers on multichannel sound, spatial texture, and live interactive performance using algorithmic systems. He previously held a Leverhulme Early Career Fellowship at the University of Birmingham’s BEAST studio, contributing significantly to spatial synthesis and performance aesthetics. Education: PhD in Electroacoustic Music, City University, London (supervised by Denis Smalley) MA in Electroacoustic Music, City University, London (supervised by Denis Smalley) Erik’s research explores the intersection of human and machine agency in improvisation, focusing on post-human cognition, nonconscious processes, and the concept of intra-action. His work integrates machine learning, agent-based systems, and real-time synthesis, particularly through the SuperCollider environment. He investigates how algorithmic systems can co-create with human performers, generating emergent sonic textures through feedback and listening behaviors. Key themes include spatial sound, acousmatic improvisation, and the philosophical underpinnings of technological creativity. His 15 most recent works and publications reveal a strong trend toward algorithmic improvisation, cognitive assemblages, and spatial synthesis. The articles and compositions emphasize machine learning, real-time interaction, and the blurring of composition and performance. Subfields such as post-human attractors, topographic synthesis, and listening agents dominate his recent output, reflecting a deep engagement with both technical innovation and philosophical inquiry in music. Scientific Awards: Leverhulme Early Career Fellowship (2015–2018) The Merciful Company Cordwainer's Prize for Outstanding Achievement on the MA Programme Mercer's Music Prize for Most Outstanding Achievement on the PhD Programme Audience Prize at Metamorphoses International Electroacoustic Composition Competition, Brussels (2010) Erik has advised no formal students listed in the text, but his research has been supported through competitive grants such as the Leverhulme Fellowship. He has presented his work globally at major conferences including ICMC, SMC, NIME, and Beyond Humanism. His compositions have been released by empreintes DIGITALes and performed at institutions like the University of Oxford and De Montfort University. He is actively involved in creative labs and research teams, notably through his work with BEAST (Birmingham Electroacoustic Sound Theatre) and participation in symposia such as the IKO/OSIL Symposium in Graz, Austria. His current practice involves developing interactive systems for live spatial performance, often involving collaborative electroacoustic composition with intelligent agents.

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Mika VanhalaView profile

Associate Professor

Lappeenranta-Lahti University of Technology LUTFinland

Mika Vanhala is an Associate Professor in the Department of Business Studies at LUT Business School, Lappeenranta University of Technology (LUT University), Finland. His academic work is centered on knowledge management, intellectual capital, human resource management, and organizational trust. Position: Associate Professor Institution: Lappeenranta University of Technology School: LUT Business School Department: Business Studies Email: Mika.Vanhala@lut.fi Dr. Vanhala's research interests lie at the intersection of organizational behavior and strategic management. He investigates how knowledge management practices, HRM strategies, and intellectual capital influence organizational performance, innovation, and employee engagement. His work often explores the role of trust—particularly impersonal trust—as a mechanism for knowledge sharing and organizational effectiveness. His recent publications reveal a strong focus on knowledge protection, innovation in SMEs, and the impact of HRM on trust and performance. He frequently collaborates with leading scholars in the field, contributing to high-impact journals across business and management disciplines. The research spans both theoretical development and empirical validation, with applications in logistics, innovation management, and digital consumer behavior. Dr. Vanhala has published extensively in top-tier journals such as Journal of Business Research , Human Resource Management Journal , and Journal of Knowledge Management . His work demonstrates a consistent trajectory in advancing the understanding of knowledge-intensive organizational processes. While no specific awards or grants are listed in the provided information, his publication record and institutional affiliation reflect a strong scholarly presence. He has contributed to both journal articles and book chapters, indicating broad academic engagement. Dr. Vanhala advises or collaborates with researchers and practitioners in the fields of innovation, HRM, and knowledge management. Although no formal students are listed, his collaborative publications suggest mentorship and research leadership roles. He is actively involved in research teams focusing on intellectual capital, organizational trust, and innovation. His work on the impersonal trust scale has contributed to measurement development in organizational studies.

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Morten Munkgaard MøllerView profile

Associate Professor

Aalborg UniversityDenmark

Morten Munkgaard Møller is an Associate Professor at the Aalborg University Business School, affiliated with The Faculty of Social Sciences and Humanities and the Marketing and Market Processes Research Group. His research focuses on Supply Chain Management, particularly procurement and category management, emphasizing strategic theory and interorganizational relationships in B2B contexts. He explores topics such as supplier-buyer dynamics, sustainable sourcing, and cross-functional collaboration in both private and public sectors. Key projects include the 'Innovationshub for Cirkulær Plast' (2025–2028) and 'Technology absorption through supplier relationships' (2003). His work bridges theoretical frameworks like contingency theory and typological models with practical applications in strategic sourcing and supply chain ecosystems. Møller has published widely on themes including supply chain ecosystems, distributive justice in apparel sourcing, and big data in procurement. He actively engages in media discussions about procurement strategies in crisis scenarios and category management best practices. His research emphasizes alignment between organizational strategy and operational execution, with a focus on achieving equitable and sustainable outcomes in supply chain relationships.

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Anna SeigalView profile

Assistant Professor

Harvard UniversityUnited States

Anna Seigal is an Assistant Professor of Applied Mathematics at Harvard University's School of Engineering and Applied Sciences (SEAS), with an affiliation in the Department of Statistics. Her research focuses on applied algebraic geometry, tensors, multilinear algebra, and algebraic statistics, particularly in the context of data science. She explores algebraic approaches to data analysis, including matrix/tensor factorizations, parameter estimation, causal inference, and optimization, with applications to physical and biological systems. Her work is supported by the Sloan Foundation and Harvard's Dean’s Competitive Fund. Research Interests: Algebraic statistics, tensors and multilinear algebra, applied algebraic geometry, and the mathematics of data science. She investigates group symmetries in models, dimensionality reduction techniques, and machine learning algorithms. Current projects include causal disentanglement via cumulants and invariant theory applications to maximum likelihood estimation. Her academic contributions span theoretical advancements and interdisciplinary applications, such as genomic template analysis and COVID-19 molecular phenotyping. She collaborates with postdocs and students on research projects and teaches courses like Applied Math 210. Awards and Funding: Supported by the Alfred P. Sloan Foundation and Harvard's internal grants. No explicit named awards listed, but her research is institutionally recognized. Labs/Teams: Leads a research group focused on applied algebra and geometry in data science. Collaborates across departments in SEAS and the Statistics Department.

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Christine ChungView profile

Associate Professor

Connecticut CollegeUnited States

Christine Chung is an Associate Professor and co-Chair of the Department of Computer Science at Connecticut College. She holds degrees from Cornell University (B.A., M.Eng.), Teachers College Columbia University (M.A.), and the University of Pittsburgh (Ph.D.). Her research focuses on algorithm design and analysis, particularly online and approximation algorithms (e.g., scheduling, matching, transportation) and algorithmic game theory (e.g., social choice, auction mechanisms). She has received the John S. King Excellence in Teaching Award for her commitment to student development both inside and outside the classroom. Chung teaches core CS courses like COM110 (Intro to CS and Problem Solving), advanced courses such as COM313 (Algorithmic Game Theory), and supervises undergraduate research through COM495/496 seminars. She advises student organizations including Women in STEM and Conn College Ultimate. Her office is located in New London Hall 220, and she can be reached via email at cchung@conncoll.edu. Education History: B.A., M.Eng., Cornell University M.A., Teachers College, Columbia University Ph.D., University of Pittsburgh Research Interests: Chung's work spans algorithm design for combinatorial optimization problems, with emphasis on dial-a-ride systems, scheduling, and approximation algorithms. In game theory, she explores inefficiency of equilibria, voting mechanisms, and auction design. Her research emphasizes practical applications of theoretical algorithms. Teaching & Advising: Besides course instruction, Chung oversees undergraduate research projects in CS, emphasizing cross-disciplinary collaboration. She has taught over a dozen courses including COM496 Research Seminar, which focuses on independent research methodologies. Her teaching philosophy integrates hands-on projects and real-world problem-solving. Awards: The John S. King Award (2025) recognizes her transformative impact on student learning and mentorship. This rare award is given only when a faculty member demonstrates exceptional dedication to student growth. Labs/Teams: Active in the CS research community at Connecticut College, she collaborates with peers like Timothy Becker (genomics) and James Lee (visual computing). Her lab focuses on theoretical algorithm development with practical implementations.

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