Xi Li is an Associate Professor at the University of Arkansas's Walton College of Business, Department of Finance. He holds a PhD and has previously served as faculty at Hong Kong University of Science and Technology, Boston University, University of Miami, and Vanderbilt University. With significant industry experience at Acadian Asset Management and State Street Global Advisors, Li bridges academic research and practical finance applications. His research focuses on investment strategies , corporate finance , and market anomalies , with expertise in predicting macroeconomic trends. Li's work examines: Financial market anomalies (low-volatility, asset growth effects) Impact of regulation on international markets Analyst performance and career dynamics Corporate governance reforms Li's recent publications demonstrate consistent focus on empirical finance in global markets, particularly: Market efficiency and post-earnings drift Quantitative investment strategies Regulatory impacts on cross-listed firms Behavioral aspects of financial analysis Trends show increasing emphasis on international applications and market structure analysis. He maintains active industry engagement through speaking engagements at major financial institutions (Citi, Deutsche Bank, IMF) and frequent media citations in Wall Street Journal and Financial Times .
Andrew O. Arnold is a Principal Applied Machine Learning Engineer at Shopify and an Adjunct Professor at New York University's Tandon School of Engineering, Department of Finance and Risk Engineering. He earned his Ph.D. in Machine Learning from Carnegie Mellon University and a BA in Computer Science and Artificial Intelligence from Columbia University. Education Ph.D., Machine Learning, Carnegie Mellon University BA, Computer Science and Artificial Intelligence, Columbia University His research focuses on robust machine learning , developing models that perform well in low signal-to-noise regimes, handle distributional shifts (transfer learning), and extract features from unstructured data. Key applications include time series analysis and natural language processing in financial and other domains. Recent publications highlight work on large language models (LLMs) for code generation, including multitask pretraining, contrastive learning, and quantization techniques for efficiency. He has contributed to understanding model robustness and adapting NLP methods to dynamic market conditions. Arnold teaches NYU FRE GY 7871: News Analytics and Machine Learning , covering NLP and ML techniques for quantitative trading strategies. The course emphasizes practical applications of sentiment analysis, text relevance, and novelty detection in financial contexts. He has led teams at Amazon Web Services (AI Labs), served as Chief Scientist at Oracle Alpha, and worked at Microsoft Research, IBM Research, and other institutions. His technical expertise spans code generation , anomaly detection , and NLP for commerce , with patents in these areas.
Edmund Hollis is an Assistant Professor of Neuroscience at the Brain and Mind Research Institute within Weill Cornell Medical College . He has been affiliated with the institution since 2016 and leads a research lab focused on neural circuit remodeling and recovery after spinal cord injury. Education: Ph.D. in Neurosciences, University of California, San Diego, School of Medicine (2008) B.S., University of Southern California (2002) Research Interests: Hollis's lab investigates the neural mechanisms underlying movement and recovery from spinal cord injury. Using genetic, molecular, and behavioral tools, along with optogenetics and optical imaging, the lab explores how neural circuits respond to injury and how they can be therapeutically enhanced. Key areas include cortical plasticity, axon regeneration, astrocyte responses, and neuromodulation of motor circuits. Scientific Contributions: His recent publications demonstrate a strong focus on corticospinal tract function, spinal interneuron modulation, and the use of advanced behavioral assays like the Kinematic Deviation Index (KDI) to assess motor recovery in rodent models. His work spans from molecular signaling pathways (e.g., RANKL, Wnt, IGF-I) to large-scale circuit remodeling and rehabilitation strategies. Collaborations & External Roles: Hollis has professional affiliations with Texas A&M University and the National Institutes of Health, and has served as a speaker and consultant for various academic and governmental organizations.
Professor Julia Schlüter is a distinguished academic in the Chair of English Linguistics within the Humanities Faculty at the University of Bamberg, Germany. She has served as Senior Lecturer at the Chair of English Linguistics and Language History under Prof. Manfred Krug since June 2008, holding the title of Professor following her habilitation in 2008. Her institutional profile demonstrates deep commitment to both research and teaching innovation, particularly through her leadership of the KorPLUS project and development of open educational resources for corpus linguistics. Her research interests span corpus linguistics for English language learners, empirical methods for studying language variation and change, and the application of corpus methods to teaching. She specializes in examining grammatical, phonological, and lexical differences between British and American English across historical periods from Middle English to present-day usage. Her work investigates phonological variation (particularly phonotactically controlled alternations), morphological change, and syntactic variation through corpus analysis, with special attention to functional grammar and grammaticalization theory. Professor Schlüter's recent publications (2022-2025) reveal a strategic evolution in her research focus, with increasing emphasis on the intersection of corpus linguistics and digital education. While maintaining her foundational work in historical English linguistics, she has developed significant expertise in applying corpus methods to language teacher education and evaluating AI writing tools. Her work demonstrates consistent methodological innovation, moving from traditional corpus analysis to blended learning approaches and digital educational resource development. Her scientific recognition includes: Winner of the 2025 Teaching Innovation Prize from the International Society for the Linguistics of English for the KorPLUS project University of Bamberg Prize for outstanding habilitation (2009) Lise Meitner Programme post-doctoral scholarship (2005-2006) Rectorate Prize from University of Paderborn for outstanding Ph.D. thesis (2005) Multiple DAAD scholarships for international study Professor Schlüter actively supervises doctoral research, currently guiding three Ph.D. candidates (Katharina Deckert, Aklima Nahar, and Nikolai Beland) while having successfully completed supervision for several others. She leads the KorPLUS project (2021-2025), funded by the Stiftung Innovation in der Hochschullehre, which develops open educational resources for corpus linguistics. Her research has been consistently supported by the German Research Foundation (DFG) and other funding bodies throughout her career. She heads the KorPLUS team (with Carina Großmann and Katharina Deckert) which develops the interactive Open Educational Resource platform for corpus linguistics. Her YouTube channel offers video tutorials on corpus basics, and she has created the Video Podcast Series "How to Update your Grammar" for English teachers. She regularly organizes in-service teacher trainings and collaborates with the Virtual Linguistics Campus at RWTH Aachen University to deliver her educational materials globally.
Nicholas Horsewood is an Honorary Associate Professor in Economics at the Department of Economics, Birmingham Business School, University of Birmingham. His roles include Director of Postgraduate Studies, Director of Overseas Programmes, Easter School Co-organiser, and Director of MSc Money, Banking and Finance (MSc MBF) programmes. MPhil, University of Oxford BA in Economics, University of Sussex Research interests span International Econometrics (trade relationships), Labour Econometrics , Economic History , and Housing Economics . His work focuses on econometric modeling of macroeconomic phenomena across historical and contemporary contexts. Selected publications examine: sovereign debt crisis prediction (2017), interwar German unemployment dynamics (2006), European housing-labour-financial market interactions (2004), interwar Australian unemployment causes (2002), and Japanese monetary policy near-zero interest rate transmission (2002). These works demonstrate cross-disciplinary applications of econometric methods to historical and systemic economic challenges. Roles : Director of Postgraduate Studies, Director of Overseas Programmes, Easter School Co-organiser, MSc MBF Director Research Groups : Political Economy and Economic Policy, Econometrics Contact: n.j.horsewood@bham.ac.uk | Tel: +44 (0) 121 414 6647
Brooke Foucault Welles is a Professor in the College of Arts, Media and Design at Northeastern University, where she also serves as Interim Dean and Director of the Network Science PhD program. Her research focuses on how social networks and communication technologies shape power dynamics, particularly in contexts of marginalization and social justice. PhD in Media, Technology and Society from Northwestern University MS and BS in Communication from Cornell University Her research spans multiple domains including: Network science of AI and social systems Digital activism and social movement dynamics Health information and (mis)information flows Open source community structures Race/ethnicity in digital contexts Computational social science methodologies Recent publications focus on attention dynamics in social networks, hate speech protection mechanisms, and open-source software sustainability. Her work has been supported by grants from the NSF, NULab, and Chan Zuckerberg Initiative. Awards include: McGannon Book Award (2021) for #HashtagActivism Best Paper Honorable Mention at CSCW 2019 She leads the Communication Media and Marginalization Lab (CoMM Lab) which includes PhD students and postdocs from diverse disciplines. Her advising approach emphasizes interdisciplinary collaboration and methodological training in both quantitative and qualitative approaches.
Prof. Ulrich W. Thonemann is a Full Professor and Director of the Department of Supply Chain Management & Management Science at the University of Cologne's Faculty of Management, Economics and Social Science. Since 2019, he has served as Dean of the Faculty and President of the University of Cologne Executive School since 2018. His research spans Supply Chain Management Optimization Behavioral Operations Information Systems . His recent work focuses on Incentive systems for forecast sharing Behavioral inventory metrics Contract design for newsvendor problems Demand information sharing Capacity rationing . He has served on the scientific advisory board of Bundesvereinigung Logistik and as Associate Editor for Production and Operations Management . Scientific Awards: Terman Fellow (1999-2000) Anderson Faculty Scholar (1998-2000) Outstanding Academic Achievements at Stanford (1992) Contact: ulrich.thonemann@uni-koeln.de | Research Group Website
Dr. Barbara E. Jones serves as an Associate Professor in the Department of Internal Medicine at the University of Utah School of Medicine, with dual appointments in Pulmonary and Critical Care Medicine. Her clinical practice spans diverse healthcare settings within the Veterans Affairs system and academic medical centers, focusing on evidence-based adaptation of care to varied patient populations. Her educational background includes: M.D. from University of Washington School of Medicine B.A. in Philosophy from Dartmouth College Master of Science in Clinical Investigation (M.S.C.I) from University of Utah Postdoctoral Fellowship in Pulmonary and Critical Care Medicine at University of Utah Residency in Internal Medicine at University of Utah Dr. Jones' research centers on decision-making processes in pneumonia diagnosis and treatment, employing a tripartite informatics approach combining population analytics, cognitive behavior analysis, and clinical decision support systems. Her work specifically targets reducing diagnostic uncertainty and treatment variation across healthcare systems, with emphasis on equitable care delivery for diverse patient populations. Current projects investigate diagnostic discordance in community-acquired pneumonia, electronic surveillance for hospital-acquired infections, and machine learning applications for diagnostic error detection. Analysis of her 15 most recent publications reveals consistent focus on pneumonia management systems, with emerging emphasis on pandemic impacts on diagnostic practices and AI-driven quality improvement. Her work predominantly utilizes large VA healthcare datasets spanning 100+ medical centers, featuring mixed-methods approaches that integrate quantitative analytics with qualitative clinician experience assessment. Dr. Jones actively contributes to clinical guideline development and medical education through editorial work in major journals including Chest and Annals of Internal Medicine , where she frequently addresses controversies in pneumonia diagnosis and antibiotic stewardship. Her research program operates at the intersection of the University of Utah Health system and the Veterans Affairs national healthcare network, leveraging electronic clinical decision support implementations across diverse hospital settings including rural and critical access facilities. Current initiatives focus on real-time feedback systems for diagnostic performance improvement and automated surveillance for healthcare-associated infections.
Michael Mak is an Associate Professor in the Department of Pharmacological Sciences at the Renaissance School of Medicine, Stony Brook University, where his research investigates the critical role of mechanical and biophysical signals in tissue organization, disease progression, and regenerative medicine applications. His primary research interests include: Mechanobiology and cellular mechanosensing of multifactorial signals Synthesis of physiologically realistic extracellular matrix material states Biofabrication and bioprinting of functional tissue/organ systems Disease modeling in cancer metastasis, fibrosis, and organ development Dr. Mak employs interdisciplinary methodologies integrating tissue engineering, biophysics, materials science, microfluidics, and quantitative microscopy to develop engineered tumor models and organoids. His work bridges fundamental mechanobiological insights with therapeutic applications in regenerative medicine and drug discovery. As principal investigator of the Mak Research Lab, he mentors graduate students and postdoctoral researchers in advanced biomaterial design and mechanotransduction studies, fostering innovation at the engineering-biology interface. The laboratory maintains specialized facilities for 3D bioprinting, mechanobiology experimentation, and computational modeling, with current projects focused on user-designable tissue systems for personalized disease modeling and regenerative therapies.
Deepa Camenga, MD, MHS, FAAP is an Associate Professor of Emergency Medicine at Yale School of Medicine with secondary appointments in Chronic Disease Epidemiology and General Pediatrics. She serves as the Associate Director of Pediatric Programs for the Yale Program in Addiction Medicine, where she leads clinical, educational, and policy efforts to improve healthcare for children impacted by substance use. As a board-certified physician in pediatrics and addiction medicine, Dr. Camenga specializes in adolescent addiction and is one of the few clinicians in Connecticut who prescribes medication treatment for adolescents with opioid use disorder. Dr. Camenga's educational background includes: BA from Yale University (2000) MD from University of Rochester School of Medicine & Dentistry (2005) Residency at University of Rochester Golisano Children Hospital (2008) Chief Resident at Children's Strong Hospital, Rochester (2009) Postdoctoral Fellowship and MHS in Health Services Research through the Robert Wood Johnson Foundation Clinical Scholars Program at Yale (2012) Dr. Camenga's research focuses on reducing the morbidity and mortality associated with adolescent substance use and substance use disorders. Her work specifically aims to improve identification and treatment of drug and tobacco use in healthcare settings, with a particular interest in developing technology-enhanced interventions to reduce substance use among adolescents and young adults. She employs both quantitative and qualitative methodologies to examine adolescent substance use patterns, cessation motivations, and the effectiveness of interventions in clinical and community settings. Her research has significant implications for public health policy and clinical practice guidelines related to youth substance use. Dr. Camenga's recent publications demonstrate a strong focus on adolescent vaping behaviors, impaired driving among youth, and digital interventions for substance use prevention. Her work spans multiple methodologies including longitudinal studies, system dynamics modeling, and mixed-methods approaches. Key themes in her research include the impact of flavored products on youth nicotine dependence, the social and environmental factors influencing risky behaviors, and the development of evidence-based approaches to substance use prevention and treatment for adolescents. Dr. Camenga is actively involved in national professional organizations and committees: Member of the American Academy of Pediatrics Committee on Substance Use and Prevention (since 2016) Member of the American Academy of Pediatrics Meeting Planning and Participation Committee (since 2018) Former Committee Member of the Academic Pediatric Association (2013-2015) Dr. Camenga has developed several innovative clinical programs, including a school-based health center tele-consult program and an inpatient adolescent addiction medicine consult service. She treats adolescents and young adults at the APT Foundation and leads an addiction medicine tele-consult service for local school-based health centers. Her work extends to the Yale DrivSim Lab, where she collaborates on studies examining the neurocognitive aspects of risky driving and substance use among youth. Dr. Camenga also chairs the American Academy of Pediatrics Committee on Substance Use and Prevention, positioning her as a national expert in pediatric addiction medicine.
Dubravko Radic serves as Professor of Service Management at the University of Leipzig's Faculty of Business and Economics since 2009, while simultaneously holding the position of Deputy Head of the Price and Service Management group at the Fraunhofer Center for International Management and Knowledge Economics IMW since 2013. His academic career spans multiple institutions including the University of Wuppertal where he completed his habilitation, and the University of Frankfurt am Main where he earned his doctorate in statistics and econometrics. Doctorate (Dr. rer. pol. summa cum laude): Johann Wolfgang Goethe-Universität Frankfurt a.M. (2004) Habilitation: Bergische Universität Wuppertal (2009) Diplom-Volkswirt: Johann Wolfgang Goethe-Universität Frankfurt a.M. (1999) Research Stay: University of California Davis (2008) Professor Radic's research centers on the intersection of empirical methods and business management, with particular emphasis on service pricing modeling, applied microeconometrics, and social interactions in service contexts. His work bridges theoretical econometric approaches with practical business applications, especially in the healthcare sector where he has led multiple Fraunhofer IMW projects including ASARob, NurMut, and ATMoSPHÄRE. His research methodology combines quantitative modeling with real-world case studies to address strategic and operational decisions in service organizations. His recent publications demonstrate a consistent focus on discrete choice modeling, game theory applications in marketing, and service innovation frameworks. The 2025 paper "Discrete Games in Marketing Research" presented at the Global Marketing Conference in Hong Kong exemplifies his approach of applying advanced econometric techniques to practical marketing problems, particularly in digital service contexts. His work shows an evolving trajectory from foundational service management concepts toward increasingly sophisticated modeling of strategic interactions in service markets. Professor Radic has extensive experience advising major corporations including Metro AG, Lilly Deutschland, IMS Health, Berlin Chemie, and Augustinum gGmbH. His practical projects at Fraunhofer IMW focus on translating academic research into actionable business solutions, particularly in healthcare digitization and service innovation. He has led the TRAIN@MINE project developing training tools for Vietnam's mining sector and contributed to studies on Big Data applications in health insurance. At the University of Leipzig, he leads research activities through the Institute for Service and Relationship Management, supervising multiple research projects that connect academic inquiry with industry applications. His team collaborates with international partners including the University of California Davis, University of Maryland, Northwestern University, and the Technion Israel Institute of Technology, creating a robust research ecosystem focused on service management innovation.
Professor Caterina Zeppieri is a faculty member at the Institute for Analysis and Numerics within the Faculty of Mathematics and Computer Science at the University of Münster, Germany. She serves as an investigator in Mathematics Münster and specializes in optimization and calculus of variations. Her research spans multiple collaborative projects within the Excellence Cluster EXC 2044. Her primary research interests focus on Calculus of Variations , Homogenization Theory , and Free-Discontinuity Problems , with significant contributions to the mathematical understanding of material science phenomena. Her work bridges theoretical mathematics with practical applications in material modeling, fracture mechanics, and multi-scale analysis. She has developed sophisticated mathematical frameworks for understanding stochastic homogenization, phase-field approximations, and gradient damage models in heterogeneous materials. Analysis of her recent publications reveals a consistent trajectory toward increasingly complex multi-scale problems involving randomness and discontinuities. Her work demonstrates deep connections between Γ-convergence theory, stochastic processes, and applications to material science, particularly in modeling fracture phenomena and composite materials. A notable trend is her development of global methods that unify deterministic and stochastic approaches to homogenization problems. Zeppieri actively contributes to teaching at the University of Münster, regularly offering courses on Partial Differential Equations, Calculus of Variations, and Advanced Topics in Mathematical Modeling. Her teaching spans both undergraduate and graduate levels, including specialized seminars on cutting-edge research topics in her field. She is deeply involved in the EXC 2044 collaborative research center, particularly in project units C1 (Evolution and asymptotics), C2 (Multi-scale phenomena and macroscopic structures), and C3 (Interacting particle systems and phase transitions), where she contributes her expertise in variational methods and homogenization to multi-disciplinary research efforts.
Elisabeth Wetzer is an Associate Professor in Machine Learning at the Department of Physics and Technology, UiT The Arctic University of Norway. Her research bridges artificial intelligence with healthcare applications, focusing on multimodal image registration, bias mitigation in AI, and physics-informed learning models. Current Role: Associate Professor, Machine Learning Group Research Themes: AI ethics, medical imaging, cross-modal representations, algorithmic fairness Her recent work explores technical challenges in PET imaging analysis and societal implications of AI bias. Collaborative projects span medicine, mathematics, and computer science disciplines. Key scientific contributions include: Physics-informed deep learning for PET image data Studies on multi-task learning efficacy in medical classification Research on gender bias in algorithmic systems She actively participates in diversity initiatives and public outreach, including presentations at Nobel laureate conferences and media engagements on AI ethics.
Lakshmi Balasubramanyan is an Associate Professor in the Department of Banking & Finance at Case Western Reserve University's Weatherhead School of Management, joining in 2017. She holds a PhD and MS from Penn State University in quantitative banking analytics, alongside BA/MA degrees from the National University of Singapore. Specializes in AI integration in commercial banking Focuses on credit/operational risk modeling Expert in regulatory frameworks (Dodd-Frank Act) Active media commentator on financial trends Her research bridges traditional banking practices with emerging technologies, particularly through RegTech and FinTech innovations. Key contributions include analyzing bank balance sheet dynamics under liquidity regulations and developing entropy-based approaches to risk heterogeneity. Recent publications explore causal relationships between risk oversight and bank stability, syndicated loan market information asymmetry, and credit market feedback mechanisms. Current projects involve NSF-funded AI-enabled financial ecosystems. Recipient of two CSWEP Research Fellowships Multiple teaching award nominations (2020-2023) 2021 Weatherhead Intramural Grant recipient 2019 UCITE NORD Grant awardee Active in institutional service as Faculty Senate Committee member and Women in Finance advisor. Collaborates with Federal Reserve institutions on banking supervision research.
Peter Hastie is a Wayne T. Smith Distinguished Professor in the School of Kinesiology at Auburn University. With over 224 peer-reviewed publications, he is recognized as the top physical education scientist in the United States and ranks fourth globally. His work focuses on innovative pedagogical approaches, particularly the Sport Education Model, and has been adopted internationally across diverse educational contexts. Expertise: Sport Education Model, physical education curriculum design, teacher development, and motor skill progression in children. Global Impact: Implemented educational frameworks in Saudi Arabia, Russia, Spain, Ireland, Portugal, and China, contributing to widespread curriculum adaptations and teacher training programs. Hastie’s research emphasizes student engagement, inclusive education, and interdisciplinary integration (e.g., combining mathematics with PE). He co-created Auburn’s ActiveU and ActiveMe online physical education resources, now adopted by institutions nationwide and in multiple languages. Awards & Recognition: 2024 Creative Research and Scholarship Award from Auburn University. Inducted into the National Academy of Kinesiology, reflecting his status as a leading scholar and practitioner. Hastie has delivered keynote speeches on six continents, advanced the understanding of skill development in children with disabilities, and contributed to policy discussions on health-related fitness education. His work bridges research and practice, influencing both academic discourse and real-world teaching methodologies.
