جست‌وجوی استاد و پژوهشگر

Ishita Sinha Royمشاهده پروفایل

استاد

• Media Studies
• Nation Branding
• Global Media
• +۱۱ مورد دیگر

Ishita Sinha Roy is a Professor at Allegheny College in the Department of Communication, Media, & Performance. She earned her Ph.D. in Communication from the Annenberg School for Communication at the University of Southern California and her B.A. and M.A. in English Literature from the University of Bombay. Her expertise spans media studies, nation branding, global media, integrated marketing communication, and digital media communities. Education: B.A. & M.A. in English Literature, University of Bombay M.A. & Ph.D. in Communication, Annenberg School for Communication, University of Southern California Her research focuses on postcolonial media analysis, nation branding, and the ethics of sustainable development through community-engaged learning. She has co-designed projects like the Global Citizen Scholars program, emphasizing gender equality (SDG 5) and collaborative partnerships with organizations like Women’s Services Inc. and the Green Belt Movement. Her work bridges academic theory with real-world applications, including anti-domestic abuse book projects and student-led research on topics like QAnon conspiracies and political podcasting. Scientific Awards: Student-nominated Teaching Award, Annenberg School for Communication (USC), 2000 Thoburn Award for Excellence in Teaching, Allegheny College, 2008 She mentors students in media literacy, storytelling, and ethical communication, with alumni like John Meyer and Hillary Santel engaging her classroom. Her collaborations with institutions like the Andrew W. Mellon Foundation and the National Council for Undergraduate Research highlight her commitment to interdisciplinary and experiential learning.

• Compassion at work
• Mindfulness at work
• Organisational justice
• +۷ مورد دیگر

Samantha Su-Hsien Sim is an Assistant Professor at Nova School of Business and Economics (NOVA SBE) in Portugal, where she teaches Organisational Behaviour and Human Resource-related courses. She is affiliated with the Leadership for Impact Centre at Nova SBE and the Mindfulness Initiative at Singapore Management University, and serves as a faculty adviser for the student-led Nova Mindfulness Club. Doctorate in Business, Singapore Management University Bachelor in Social Science, Singapore Management University Master in Social Science, Tilburg University Her research centers on compassion and mindfulness in the workplace, organisational justice, and cross-cultural differences. She investigates how compassion influences workplace behavior and leadership, and how mindfulness affects cooperation and negotiation outcomes. Her work bridges organizational psychology and management, with implications for employee well-being, ethical leadership, and inclusive organizational cultures. Her recent publications explore mindfulness-based training, corporate well-being programs, and algorithmic fairness in employment. The research spans topics like psychological well-being, negotiation dynamics, and public policy, showing a strong interdisciplinary focus on human-centered organizational practices. Published in top journals including Journal of Applied Psychology , Academy of Management Journal , and Organizational Behavior and Human Decision Processes She advises student research through the Nova Mindfulness Club and contributes to research grants related to leadership, mindfulness, and organizational justice. Her collaborative network includes scholars from Singapore, Europe, and North America, reflecting her cross-cultural research orientation. She is active in research centers focused on leadership impact and mindfulness, contributing to both academic and practical applications in organizational settings.

Nanda Kaji Budhathokiمشاهده پروفایل

پژوهشگر

• Environmental Economics
• Climate Change Adaptation
• Behavioural Economics
• +۲ مورد دیگر

Dr. Nanda Kaji Budhathoki is a Postdoctoral Research Fellow at the School of the Environment , University of Queensland, with expertise in environmental economics, climate change adaptation, and behavioral economics. He completed his PhD in Agriculture and Environmental Economics from Charles Darwin University in 2020. Education : PhD in Agriculture and Environmental Economics (2020), Charles Darwin University Research Interests : Focus on climate risk mitigation for agricultural communities, behavioral aspects of climate adaptation, socio-economic impacts of extreme weather events, and economic modeling for private land conservation. His work integrates environmental, economic, and social data to develop sustainable solutions. Publication Trends : Recent work explores climate risk management in agriculture (2025-2020), with specific focus on index-based insurance, farmer risk perception, and adaptation strategies. Earlier publications examine rural development economics (2017-2010), including microcredit impacts and crop innovation adoption.

Leah Findlaterمشاهده پروفایل

دانشیار

• Accessibility
• Human-Centered AI
• Human-Computer Interaction
• +۳ مورد دیگر

Leah Findlater is an Associate Professor in the Department of Human-Centered Design & Engineering at the University of Washington (College of Engineering). She also holds adjunct and affiliate appointments in Computer Science & Engineering and Disability Studies, respectively, and serves as Associate Director of UW CREATE (Center for Research and Education on Accessible Technology and Experiences). Since 2021, she has led a research team in AI and accessibility at Apple. Her research focuses on creating adaptive technologies that accommodate individual needs, particularly for people with disabilities. Key areas include touchscreen personalization, machine learning interfaces, and sound recognition systems for deaf and hard-of-hearing users. Funding sources include NSF, DoD, and major tech companies. Recent work explores AI-driven tactile graphics, visual privacy management for blind users, and sound recognition systems. Her research combines lab studies, field deployments, and qualitative methods. NSF CAREER Award (2014) She advises through the Inclusive Design Lab, emphasizing mixed-methods research and collaborations with disability communities.

Michael Beurskensمشاهده پروفایل

استاد

• Private Law
• Business Law
• Digital Law
• +۵ مورد دیگر

Prof. Dr. Michael Beurskens is a faculty member at the Faculty of Law of the University of Passau , holding the Chair of Private Law, especially Business Law and Digitalisation . His work integrates Private Law , Competition Law , and Intellectual Property Law with Digitalization challenges, focusing on AI regulation, data access, and GDPR compliance. Academic Background: LL.M. in Intellectual Property Rights (University of Chicago) LL.M. in Gewerblicher Rechtsschutz Attorney-at-Law (New York) Habilitation: University of Düsseldorf, 2007 His research interests span the legal frameworks governing online platforms (Digital Markets Act, Digital Services Act), data trading (Data Act, Data Governance Act), AI regulation (AI Act), and copyright (InfoSoc Directive, DSM Directive). He emphasizes practice-oriented research and team-based academic collaboration , including social activities like weekly lunches and access to central ice cream supplies. Key teaching activities include courses on Corporate Law , Commercial Law , Law of Obligations , and Intellectual Property , with a focus on e-learning projects such as Schuldrecht AT Online and Gesellschaftsrecht Online. He advocates for student-led research and early publication opportunities . The chair actively promotes women in science through preferential employment and intensive supervision. It also develops legal tech tools like Visilex (jurisprudence flashcards) and CASIM (case simulation software).

David Baileyمشاهده پروفایل

دانشیار

• Critical Political Economy
• Contemporary Capitalism
• Social Movements
• +۳ مورد دیگر

Dr David Bailey is an Associate Professor in Politics at the University of Birmingham, affiliated with the Department of Political Science and International Studies (POLSIS) within the School of Government. His work focuses on the critical political economy of contemporary capitalism, with particular emphasis on protest movements, social resistance, and left-leaning political agency. Dr Bailey's educational background includes a PhD in Political Science from London and an MA in European Political and Economic Integration from Durham. His academic journey has positioned him as a leading scholar in critical political economy approaches to understanding resistance against neoliberalism. His research interests span comparative and critical political economy, examining how capitalism interacts with protest, dissent, social movements, collective action, and left parties. Dr Bailey explores how these dynamics impact political institutions and broader societal trends, particularly in the context of austerity and neoliberal governance. His work often takes a broadly Marxist perspective while engaging with contemporary challenges like climate activism, worker-led dissent, and resistance to AI-driven technological determinism. Dr Bailey's publication record reveals a consistent focus on resistance to neoliberalism across multiple domains - environmental politics, labor movements, social policy, and European integration. His work demonstrates how seemingly disparate forms of resistance connect to form broader challenges to dominant economic and political paradigms, with increasing attention to post-pandemic and digital age challenges. Dr Bailey serves in significant editorial roles that reflect his scholarly standing: Reviews editor for Capital and Class Member of the Executive Board of the Critical Political Economy Research Network (CPERN) of the European Sociological Association Convenor of the CSE/Capital and Class Midlands Member of the editorial board of Global Political Economy Dr Bailey actively supervises PhD and Master's students working on social movements, protest movements, left parties, and the critical political economy of contemporary capitalism. His research has been supported through various academic collaborations and publications that examine resistance to austerity and neoliberal governance across different national contexts. He is closely associated with several research groups at the University of Birmingham, particularly the Political Economy research group, European Studies research group, and Parties, Voters and Elections research group, contributing to a vibrant interdisciplinary research environment focused on critical approaches to political economy.

• Quantum Dot Light-Emitting Diodes (QLEDs)
• Organic Light-Emitting Diodes (OLEDs)
• Device Physics
• +۳ مورد دیگر

Prof. CHEN Shuming is a Tenured Professor and Doctoral Supervisor at the Department of Electronic and Electrical Engineering , Southern University of Science and Technology (SUSTech) . He has held academic positions since joining SUSTech in 2013 and was promoted to Professor in 2024. Education: PhD in Electronic and Computer Engineering (HKUST, 2012), Master in Optical Engineering (Sun Yat-sen University, 2008), Bachelor in Optoelectronics (South China University of Technology, 2005) Research Focus: Prof. Chen specializes in quantum dot light-emitting diodes (QLEDs) and organic light-emitting diodes (OLEDs) , with expertise in device engineering , device physics , and display/lighting applications . His work includes: Novel device structures (tandem, top-emitting, flexible) Charge transport and exciton dynamics Low-cost fabrication techniques (inkjet printing, laminating) Publication Trends: His recent papers address QLED stability , high-efficiency architectures , and AC-compatible devices , reflecting advancements in quantum dot technology and consumer electronics integration . Scientific Awards: Guangdong Natural Science Award (2024) Shenzhen Youth Science and Technology Award (2017) China Invention Association Innovation Award (2024) International Society for Information Display Outstanding Paper Award (2018) Advising and Grants: Prof. Chen has supervised 6 doctoral students, 5 master's students, and multiple undergraduates. He has led over 10 major projects, including National Natural Science Foundation grants and National Key R&D Program initiatives.

• Numerical and analytical modeling of subsurface multi-component, multiphase flows
• Environmental and ecological implications of coastal groundwater flow
• Aquifer parameter estimation
• +۳ مورد دیگر

Dr. Li Hailong is a Chair Professor at the School of Environmental Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen. He holds a PhD in Hydrogeology from the University of Hong Kong (2003), an MSc (1991) and BSc (1988) in Applied Mathematics from Fudan University. His academic journey includes professorships at China University of Geosciences-Beijing (2009-2020) and Anshan Normal University (1999-2009). Recipient of 2010 NSFC Outstanding Young Scientist Grant 2022 Dayu Water Conservancy Science and Technology Award 2008 Chutian Professorship (Hubei Province's highest academic honor) Dr. Li's research focuses on multi-component, multi-phase subsurface flows in coastal zones and their ecological/environmental effects. His work spans aquifer parameter estimation, ecohydrology, marine groundwater discharge, and computational fluid dynamics. Recent projects involve submarine groundwater discharge (SGD) quantification in Bohai Sea and Jiaozhou Bay using radium/radon isotopes. His publications in top journals like Nature Geoscience , Geochimica et Cosmochimica Acta , and Water Resources Research have been cited 7,072 times (H-index 49). He has led 19 research projects, including 6 NSFC grants and 973 Program subprojects. Dr. Li serves on editorial boards of Advances in Water Resources and Water Science and Engineering , and was Associate Editor for Hydrogeology Journal (2012-2015).

• Oceanic plate tectonics and dynamics
• Mid-ocean ridges
• Hotspots
• +۱۱ مورد دیگر

Jian Lin is a Chair Professor in the Department of Ocean Science and Engineering at the Southern University of Science and Technology (SUSTech) , China. He is an internationally renowned geophysicist, member of the European Academy of Sciences , Academia Europaea , and Russian Academy of Natural Sciences . He has held distinguished positions at Woods Hole Oceanographic Institution (WHOI) and MIT/WHOI Joint Program in Oceanography , and is a leading expert in global oceanic plate tectonics, earthquake mechanics, and marine geophysics. Education: Ph.D. in Geophysics (1988), Brown University M.S. in Geophysics (1984), Brown University B.S. in Geophysics (1982), University of Science and Technology of China Research Focus: Prof. Lin's work spans computational geodynamics , marine geophysics , earthquake mechanics , and oceanic lithospheric evolution . His studies include mid-ocean ridges, subduction zones, hydrothermal systems, and tsunami dynamics. He has led over 20 international oceanographic expeditions and contributed to major discoveries such as the first hydrothermal vents on the Southwest Indian Ridge and high-resolution seismic imaging of the Mariana Trench. Scientific Recognition: Fellow, American Geophysical Union (AGU) Fellow, Geological Society of America (GSA) Fellow, American Association for the Advancement of Science (AAAS) Henry Bryant Bigelow Chair for Excellence in Oceanography Charles E. Culpeper Young Scientist Award Member (Academician), European Academy of Sciences Member (Academician), Russian Academy of Natural Sciences Member (Academician), Academia Europaea Advising & Mentorship: Prof. Lin has supervised numerous PhD and Master's students, including Shuqiao Zhong , Guanzhi Wang , and postdocs such as LaiYin Guo , Caicai Zha , and Yiming Luo . He has taught courses like Global Plate Tectonics , Intelligent Ocean Exploration , and Introduction to Oceanography . Laboratory & Leadership Roles: He has served as Chair of the InterRidge Program , an international initiative promoting deep-sea research. He has held editorial roles in top journals and served on advisory boards for major ocean science programs globally.

• Neuroscience
• Cognitive Science
• Visual Perception
• +۷ مورد دیگر

Dr. Ben Harvey is an Associate Professor (with Ius Promovendi) in the Perception Group of the Department of Experimental Psychology at Utrecht University, Netherlands, within the Faculty of Social and Behavioural Sciences. He is based at the Helmholtz Institute and can be contacted at b.m.harvey@uu.nl. Harvey completed his DPhil at Oxford University with Professor Oliver Braddick in 2009, followed by postdoctoral work with Professor Serge Dumoulin at Utrecht. In 2015, he moved to Coimbra on a starter grant from the Portuguese Foundation for Science and Technology before returning to Utrecht in 2016 as an Assistant Professor. He was promoted to Associate Professor in 2019 and has led his own research group since 2015. Harvey's research focuses on characterizing sensory and cognitive systems in the human brain, particularly neural responses and computations within these systems. His work combines cutting-edge neuroimaging approaches with computational modeling and behavioral experiments. Initially studying the early visual system as a model of neural processing, he extended invasive animal neurophysiological approaches to non-invasive human neuroimaging. His recent work investigates neural responses underlying cognition in the human association cortex, examining how visual space and number processing differs between cultures and in clinical disorders. His fingerprint reveals expertise in Functional Magnetic Resonance Imaging, Numerosity, Receptive Field, Visual Cortex, Population Receptive Field, Nerve Potential, Early Visual Cortex, and Topographic Maps. His publication record demonstrates significant impact, with works like 'Topographic representation of numerosity in the human parietal cortex' (2013) receiving over 360 citations. His research spans visual neuroscience, with emphasis on how the brain processes visual information, attention mechanisms, and numerical cognition, revealing generalized quantity processing systems in the human brain. Award for highest-rated abstract (2013) Brain Centre Rudolph Magnus Research Award (Best Paper of the Year) (2014) Causal link between cortical organization and conscious perception: human fMRI and electrophysiology (2009, 2010) Harvey has been actively engaged in knowledge dissemination, with multiple invited talks at institutions including INSERM in Paris (2016) and the University of Parma (2015). His research has received significant media attention, with interviews on National Public Radio (NPR) USA, Livescience.com, and Science Magazine in 2013. Beyond academic publications, he writes popular science articles exploring the relationship between visual neuroscience and visual arts. As part of the Helmholtz Institute Experimental Psychology research program, Harvey collaborates widely to investigate visual space and number processing across different populations, contributing to our understanding of how these cognitive functions vary between cultures and in clinical disorders.

Mohammad Iftekhar Husainمشاهده پروفایل

استاد

• Cyber Security
• Data Privacy in Social Networks
• Neurophysiology and Cyber Security
• +۷ مورد دیگر

Dr. Mohammad Iftekhar Husain is a Professor and Graduate Coordinator in the Department of Computer Science at California State Polytechnic University, Pomona (Cal Poly Pomona). He serves as the Inaugural Director of the PolySec Cyber Lab, a federally funded center for cyber security and forensics education, research, and outreach (~$2.5M in grants), and directs the university's Virtual Reality Lab. His career spans over a decade of leadership in cyber security program development, extramural funding, and academic governance. Education: B.S., Computer Science, Yamagata University (Japan) M.S. & Ph.D., Computer Science and Engineering, SUNY-Buffalo Dr. Husain's research focuses on data privacy in social networks, neurophysiological cyber security solutions, and blockchain applications. He has secured $18.4M in principal investigator grants, including NSF SFS, EAGER, and REU Site projects, and trained students placed in top institutions like UC campuses, MIT Lincoln Lab, and government agencies such as NSA and DHS. His work on brainwave authentication earned a US patent (USPTO 10,198,566) and media coverage in Time Magazine and PC Magazine . Scientific Awards: 2016 College of Science Distinguished Teaching Award Early Promotion and Tenure (2016) 2020 Faculty Learning Community for Leadership Pipeline Development Cohort As academic leader, he founded the Cal-Bridge CS Ph.D. pathway program for underrepresented students, chairs the CPP Academic Senate Academic Programs committee, and led university IT initiatives including Cyber Security Cluster Hiring and High-Performance Computing Lab development.

• Graphene
• Sensor Materials
• Gas Sensors
• +۵ مورد دیگر

Raivo Jaaniso is an Associate Professor in Materials Science and Applied Physics at the Institute of Physics, Faculty of Science and Technology, University of Tartu. He has held this position since February 2024, having previously served as an Associate Professor from January 2021 to February 2024. Since June 2015, he has led the Sensor Technology Research Group and Laboratory at the University of Tartu. Dr. Jaaniso earned his Doctor's Degree in 1988 from the Institute of Physics, Estonian Academy of Sciences, with a dissertation titled "Spectrally selective processes of energy transformations in solid solutions of chlorophyll-like molecules," supervised by Jaak Kikas and Rein Avarmaa. His undergraduate studies in physics were completed at the University of Tartu from 1976 to 1981. Dr. Jaaniso's research focuses on graphene, sensor materials, gas sensors, optical spectroscopy, and pulsed laser deposition. His work spans materials science and applied physics, with particular emphasis on developing advanced sensor technologies for environmental monitoring and healthcare applications. He has pioneered research on graphene-based gas sensors, optical sensing materials, and nanomaterials for detection systems. Current projects include early diagnosis of neurodegenerative diseases with electronic nose technology and novel structures for gas microsensor arrays based on 2D materials. His recent publications reveal a strong trend toward graphene-TiO 2 heterostructures for gas detection, black aluminum films for thermal applications, and light-induced gas sensing mechanisms at room temperature. These works demonstrate his interdisciplinary approach combining materials science, optics, and sensor technology to address environmental and health monitoring challenges with practical solutions. University of Tartu Badge of Distinction (2023) Dr. Jaaniso has supervised numerous doctoral and master's students, including Martin Lind, Paniz Vafaei, and Ahmet Burak Baloglu who are currently completing their doctoral research. He has led significant research projects funded by the Estonian Research Council (totaling over €2 million in the past decade), European Commission, and industry partners including Infineon Technologies. His administrative roles include membership in the Graphene Flagship network and the NATO STO Exploratory Team on Novel Two-dimensional Materials for Military Applications. As head of the Sensor Technology Research Group, Dr. Jaaniso leads a multidisciplinary team focused on developing next-generation sensor technologies using 2D materials and advanced nanofabrication techniques. The group maintains active collaborations with international partners including the Czech Academy of Sciences and European research networks.

• Solid State Physics
• Quantum Mechanics
• Analytical Mechanics
• +۷ مورد دیگر

Matti Selg is an Associate Professor at the Institute of Physics within the Faculty of Science and Technology at the University of Tartu, Estonia. He has been actively teaching graduate courses in Quantum Mechanics, Analytical Mechanics, and Mathematical Physics since 2009, with increasing responsibility over the years. Currently, he oversees the entire teaching of three mandatory courses: Master's Course in Quantum Mechanics, Analytical Mechanics, and Theory of Complex Variables. Dr. Selg completed his education at the University of Tartu, earning a diploma in physics. He received his Doctor's Degree in 1981 from the University of Tartu with a dissertation titled "Relaxation and hot luminescence of self-trapped excitons in rare gas crystals," supervised by Vladimir Hižnjakov and Rein Kink. His additional qualification includes a PhD in solid state physics from the Institute of Physics of the Estonian Academy of Sciences. Professor Selg's research spans several interconnected areas of theoretical physics. His primary interests include quantum mechanics, particularly scattering theory and inverse problems, as evidenced by his numerous publications and textbooks on quantum scattering. He has made significant contributions to the understanding of reflectionless potentials and the Marchenko equation. More recently, he has focused on classical mechanics problems, particularly exploring Binet's equation and its connections to Newtonian and Einsteinian gravity theories, as well as revisiting historical problems like Galileo's swiftest descent problem. His work bridges mathematical physics with practical applications in molecular and solid-state physics. Analysis of his recent publications reveals a clear trajectory from quantum scattering theory toward classical mechanics and historical physics problems. While maintaining his expertise in quantum systems, particularly with hydrogen molecules and diatomic systems, he has expanded into historical and mathematical analyses of foundational physics concepts. His 2023-2025 publications show a particular focus on exact solutions to classical mechanics problems and their connections to modern gravitational theory. Dr. Selg has served in several administrative roles, including as a member of the Science Council of the Institute of Physics at the University of Tartu since 2001 and as a member of the Expert Commission for Exact Sciences of the Estonian Science Foundation (2003-2006). He has successfully led research projects funded by the Estonian Science Foundation, including studies on excimers in rare gases and their crystals. As an educator, Professor Selg has developed and taught advanced courses that integrate deep theoretical concepts with practical applications. His textbooks on quantum scattering theory demonstrate his commitment to making complex topics accessible to students. His recent work on the mathematical and physical perspectives of foundational problems suggests an evolving research program that connects historical scientific developments with contemporary theoretical challenges.

Guofu Zhouمشاهده پروفایل

استاد

• Empirical Asset Pricing
• Machine Learning in Finance
• Financial Economics
• +۱۰ مورد دیگر

Guofu Zhou , the Frederick Bierman & James E. Spears Professor of Finance at Washington University's Olin Business School , has been a faculty member since 1990. His academic career includes multiple Reid Teaching Awards (2020, 2019, 2018, 2014, 2010) Best Paper Awards (Institute for Quantitative Investment Research 2019, Chinese Finance Association 2010, Inquire UK/Europe 2019 & 2024) and affiliations with journals like the Journal of Financial Economics and Management Science . Education: PhD, Duke University (1990) MA, Duke University (1987) MS, Academia Sinica (1985) BS, Chengdu University of Technology (1982) His research bridges empirical asset pricing and applied AI/machine learning , with a focus on market efficiency anomaly exploitation Bayesian inference option pricing Chinese financial markets behavioral finance He has contributed to understanding equity risk premium predictability, technical analysis, and portfolio optimization techniques. Key trends in his Journal of Financial Economics , Journal of Finance , and Review of Financial Studies publications include machine learning applications in asset pricing , anomaly-market linkages , and fear sentiment in Treasury markets . Recent work with ChatGPT explores textual analysis of earnings calls. Scientific Awards: Best Paper Award, Institute for Quantitative Investment Research (2019) Finalist for Crowell Memorial Prize (2024) Led multiple Best Paper Awards at conferences like FMA and SIF Contact: zhou@wustl.edu | Office: Simon Hall Room 207

Martin Spindlerمشاهده پروفایل

استاد

• Econometrics
• Statistics with Applications to Finance, Insurance, and Health Economics
• Nonparametric Statistics
• +۳ مورد دیگر

Prof. Dr. Martin Spindler is a Professor for Statistics at the Department of Statistics with Application in Business Administration, University of Hamburg Business School. His research bridges Econometrics, Statistics, and Machine Learning, focusing on high-dimensional methods, causal inference, and applications in finance, insurance, and health economics. Current position since 2016 Visiting Professor at University Mannheim (2016), Boston College (2015), and MIT (2015, 2013-2014) Senior Researcher at Max Planck Society (2012-2016) Education: PhD in Economics, University of Munich (2012) Master in Mathematics and Economics, University of Munich (2008) and Regensburg (2003) B.A. in Mathematics, University of Regensburg (2005) His methodological work includes L2Boosting for treatment effect estimation, double machine learning frameworks, and nonparametric approaches for asymmetric information. Applications span from fraud detection in claims management to pandemic shielding strategies and financial forecasting. Research Trends: Recent publications emphasize high-dimensional statistical methods, causal machine learning, and interdisciplinary applications. Key tools include double machine learning, attention networks, and transformation models. Collaborations: Active partnerships with institutions like MIT, Boston College, and Max Planck Society, alongside contributions to open-source software (e.g., DoubleML, hdm package).