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Jan von Delft is a Professor (chair) at Ludwig-Maximilians-University (LMU) Munich, working in the Faculty of Physics within the Chair of Theoretical Solid State Physics. His research group consists of postdocs, PhD students, and master's students working on various aspects of strongly correlated electron systems, with physical space located at Theresienstr. 37 (Room A420) in Munich. von Delft's research focuses on correlated electron and spin systems, with particular interest in dynamical and transport properties, quantum impurity models, Hund metals, unconventional superconductors, quantum magnets, and quantum criticality. His methodological expertise includes many-body field theory, parquet formalism (FRG), DMFT, and tensor networks (NRG, DMRG, PEPS, XTRG, etc.). His work bridges theoretical concepts with computational approaches to understand complex quantum phenomena in condensed matter systems. He has developed a distinctive emphasis on real-frequency calculations and numerical methods for studying quantum critical phenomena. Analysis of von Delft's recent publications reveals a strong focus on developing and applying advanced computational methods to study strongly correlated electron systems. His group has made significant contributions to numerical renormalization group techniques, tensor network methods, and the parquet formalism for calculating real-frequency correlation functions. His research shows increasing sophistication in handling quantum criticality, particularly in heavy-fermion systems, and exploring unconventional superconductivity mechanisms. Notably, his group has developed specialized computational libraries like KeldyshQFT to make these advanced methods more accessible to the broader physics community. von Delft actively mentors a substantial research group consisting of one postdoc (Markus Scheb), eleven PhD students (Anxiang Ge, Sasha Kovalska, Mathias Pelz, Marc Ritter, Nepomuk Ritz, Changkai Zhang, Markus Frankenbacher, Felipe Picoli, Simone Fodera, Ming Huang), and two master's students (Ester Pages, Gianluca Grosso). His detailed Style Guide for scientific communication demonstrates his commitment to high-quality research presentation. The group appears well-funded with ongoing research activities spanning theoretical development, computational implementation, and physical interpretation of complex quantum phenomena.

• Correlated electron systems
• Quantum impurity models
• Quantum criticality
• +7 more

Thomas S. Lontzek is Professor of Economics at RWTH Aachen University, holding the Chair of Computational Economics within the School of Business and Economics since October 2016. His research develops numerical methods for economic decision-making with focus on climate change and environmental risks. His educational background includes economics studies at Maastricht University and UC San Diego (1999-2003), followed by PhD from University of Kiel (2009). Prior positions include Assistant/Senior Assistant at University of Zurich (2010-2016) and visiting scholar at Stanford's Hoover Institution (2012). Lontzek's research spans Economic Growth, Quantitative Macroeconomics, Resource and Energy Economics, Computational Economics, Climate Risk Management, and Decision Making under Uncertainty. His work emphasizes unconventional methods for analyzing economic processes through multidimensional, nonlinear stochastic optimization while incorporating ethical principles into economic analysis for sustainability challenges. His publication record reveals a consistent focus on climate economics, particularly the social cost of carbon, climate tipping points, and integrated assessment modeling. These works demonstrate how accounting for economic and climate risks, especially potential tipping points, necessitates more aggressive climate policies than traditional models suggest, often requiring sophisticated computational techniques to handle high-dimensional uncertainty. 2021 Erik Kempe Award for work on calculating an optimal CO2 tax Lontzek actively mentors students through research seminars and teaching, emphasizing methodological diversity and interdisciplinary approaches. He leads the Global Challenges Research Seminar through the Global Challenges Lab, providing students with opportunities to conduct innovative research using quantitative decision-making techniques for sustainable development challenges. His teaching portfolio for Summer Semester 2025 includes Quantitative Macroeconomics, Sustainable Finance, and specialized research seminars. He heads the Chair of Computational Economics, which includes scientific staff members Dr. Marco Thalhammer, Dr. Yifan Zhao, and Philipp Olivier, M.Sc., working collaboratively on climate economics and computational methods. The chair's research bridges theoretical economic modeling with practical policy applications, developing dynamic stochastic integrated assessment models capable of handling complex climate-economy interactions under uncertainty.

• Economic Growth
• Quantitative Macroeconomics
• Resource and Energy Economics
• +3 more

Ralph Luetticke is a Professor of Economics at the University of Tübingen, affiliated with the Centre for Economic Policy Research and the Stone Centre on Wealth Concentration at University College London. His research focuses on fiscal/monetary policy, business cycles, and computational methods, emphasizing household heterogeneity. Key contributions include analyzing liquidity channels of fiscal policy, military multipliers, and unconventional policy shocks. Recent work explores military spending multipliers, endogenous gridpoint methods for distributional dynamics, and the distributional impacts of monetary policy. His 2023 ERC Starting Grant ('AIRMAC') supports research into aggregate uncertainty in business cycles. Teaching includes advanced macroeconomics courses at UCL and Tübingen, emphasizing HANK models and policy analysis. Scientific awards include the ERC Starting Grant (2023). Research tools developed include the BASE for HANK toolbox (Julia) and open-source codes for heterogeneous agent modeling. His work bridges theoretical macroeconomics with empirical policy analysis, addressing modern challenges like inequality and pandemic stimulus effectiveness.

• Macroeconomics
• Fiscal Policy
• Monetary Policy
• +3 more

Dr. Lorenz Fenk is a Max Planck Research Group Leader at the Max Planck Institute for Biological Intelligence , leading the Neural Dynamics and Evolution department. His research focuses on neural systems function, natural behavior, and evolutionary neuroscience. Education: PhD in Neurobiology/Genetics (2016), University of Cambridge, UK Diploma (Mag. rer. nat.) in Biology/Anthropology (2010), University of Vienna, Austria His work combines quantitative methods and modern tools to study unconventional model systems like reptiles. Research themes include: Mechanisms of neural circuit dynamics during sleep Interhemispheric competition in reptiles Evolutionary aspects of sleep and cognition Internal brain activity and its link to memory/perception Recent publications demonstrate interdisciplinary trends in sleep research, neural computation, and evolutionary biology. Studies span vertebrate ultradian rhythms, reptilian brainstem circuits, and environmental modulation of behavior in Caenorhabditis elegans . Dr. Fenk's current affiliation is with the Max Planck Institute for Biological Intelligence, where he employs molecular, neurophysiological, and computational approaches to unravel cognitive processes and flexible behavior.

• Behaviour
• Biophysics
• Circuits
• +5 more

Dr. Kenneth Zick is a Research Professor at the University of Southern California's Information Sciences Institute (USC ISI), where he serves as Research Director of Transformational Computing. His work focuses on game-changing computer architectures, hardware, and systems for solving critical government problems, with expertise in unconventional computing, quantum computing, and bio-inspired systems. Ph.D. in Computer Science & Engineering, University of Michigan-Ann Arbor M.S. in Electrical Engineering, University of Texas at Dallas Bachelor's in Electrical Engineering, University of Michigan-Ann Arbor Dr. Zick's research interests span unconventional computing , bio-inspired systems , Ising machines , quantum annealing , FPGA-based solutions , and neuromorphic computing . His group develops hardware-centric algorithm discovery and Cosm, a heuristic algorithm for sparse Ising optimization. Current projects include superconducting digital architectures, analog-digital hybrid computing, and human-AI co-design for breakthrough hardware. His team leverages advanced facilities such as USC ISI's MOSIS 2.0 and the California DREAMS hub in the DoD Microelectronics Commons, with expertise in high-speed I/O, FPGA prototyping, and radiation-hardened systems. He has received a NASA Fellowship for his Ph.D. work and mentored students like Aditi, who won the USC ECE Outstanding Academic Achievement Award.

• Unconventional computing
• Bio-inspired compute systems
• Ising machines
• +7 more

Professor Jana Zaumseil is a distinguished academic at Heidelberg University, holding the position of Professor for Applied Physical Chemistry at the Faculty of Chemistry and Earth Sciences since 2014. She also maintains a co-opted position with the Faculty of Physics and Astronomy since 2016. Currently serving as Executive Director of the Institute for Physical Chemistry and Spokesperson for the DFG Research Training Group GRK 2948, she leads the Zaumseil research group (also known as the Nanomaterials for Optoelectronics group) at Heidelberg University's Institute for Physical Chemistry. Her educational background includes a PhD in Physics from the University of Cambridge (2003-2007) with a Gates Cambridge Trust Scholarship, and a Diplom (equivalent to M.Sc.) in Chemistry from the University of Leipzig (1997-2022). Prior to her position at Heidelberg, she served as Professor for Nanoelectronics at Friedrich-Alexander-Universität Erlangen-Nürnberg (2009-2014), and completed postdoctoral work at Argonne National Laboratory (2007-2009) following an internship at Bell Laboratories (2002-2003). Zaumseil's research program focuses on the optical and electronic properties of carbon-based nanomaterials, particularly single-walled carbon nanotubes (SWCNTs) and organic semiconductors. Her group specializes in processing, functionalization, characterization and application of these unconventional semiconductors for optoelectronic devices and sensors. They investigate charge transport and light-matter interaction using a wide range of experimental techniques including synthesis, optical spectroscopy, atomic force microscopy, device fabrication, and electrical/optical device characterization. Their work bridges fundamental understanding with potential applications in sensing, imaging, circuits, and energy conversion. Analysis of her recent publications reveals a strong trend toward defect engineering in carbon nanotubes, particularly creating and optimizing luminescent sp 3 defects for near-infrared applications. Her research increasingly integrates fundamental studies of charge transport with practical device applications, especially in neuromorphic computing, biosensors, and thermoelectrics. The interdisciplinary nature of her work is evident in the combination of chemistry, physics, and materials science approaches across her publication record. Dan Maydan Prize for Nanoscience and Nanotechnology (2024) Jahrespreis der Universität Heidelberg (2023) ERC Consolidator Grant (2019) ERC Starting Grant (2012) Alfried-Krupp-Award for Young University Professors (2010) Professor Zaumseil has secured substantial research funding including multiple ERC grants and leads several major collaborative projects such as the ERC Advanced Grant SCALE-NT, Collaborative Research Center SFB 1249, Cluster of Excellence 3D Matter Made to Order, and Research Training Group GRK 2948. She has mentored numerous doctoral and master's students, with her group recently receiving recognition including a Student Poster Presentation Award for Niklas Herrmann. As Dean of the Faculty of Chemistry and Earth Science (2019-2021) and current Vice Dean (2021-), she has played significant leadership roles within the university structure. The Zaumseil research group operates within Heidelberg University's Institute for Physical Chemistry, utilizing advanced facilities for nanomaterial synthesis, optical spectroscopy, and device characterization. The group participates in several major collaborative initiatives including the Cluster of Excellence 3D Matter Made to Order and the Collaborative Research Center SFB 1249, reflecting its integration within Heidelberg's broader research ecosystem focused on molecular systems and materials science.

• Nanomaterials
• Optoelectronics
• Carbon Nanotubes
• +5 more

Prof. Dr. Nina Zschocke is Professor of Art History with a focus on 'Digital Aesthetics' at the Karlsruhe University of Arts and Design (HfG Karlsruhe) since April 2024. Previously, she served as senior research associate and lecturer at the Department of Architecture at ETH Zurich until 2023, and as a research associate at the Institute of Art History at the University of Zurich from 2005. She maintains strong connections with the ZKM | Center for Art and Media in Karlsruhe through collaborative projects and lecture series. Her educational background includes studies in art history, ethnology, and classical archaeology at the University of Cologne, where she earned her doctorate in 2004 with a dissertation on 'irritation' in art reception. She furthered her academic work as a DFG visiting scholar at University College London and Columbia University in New York. Zschocke's research centers on the intersection of art history, digital aesthetics, and materiality, with particular emphasis on how computational processes reshape artistic production and reception. Her work explores the material dimensions of digital media, algorithmic authority, and unconventional computing paradigms. She investigates how traditional art historical frameworks can be adapted to address contemporary digital practices and the physical manifestations of computational processes in artistic contexts. Her publications and symposia reveal consistent engagement with digital materiality, examining how digital processes manifest in physical form and how traditional art historical methods apply to contemporary computational practices. Recent work focuses on 'unconventional computing' - exploring alternative physical substrates for computation beyond standard silicon-based systems, and questioning the dominant paradigms of digital technology. Zschocke has organized numerous significant academic events including the 'Conversations on Art and Media' lecture series (2025), 'Dirty Computers' seminar week (2024), 'Digital Matters Symposium' (2024), and the long-running 'Don18 - Conversations on Art and Architecture' (2006-2022). These events demonstrate her commitment to creating interdisciplinary dialogue platforms that bridge art, architecture, media theory, and computational practices. Her academic leadership extends to doctoral program development, having co-designed the SNSF doctoral program 'ProDoc Art&Science' (2008-2014) and the 'Doctoral Program in the History and Theory of Architecture' at ETH Zurich (2012-2015). She has taught at multiple institutions including the University of Fribourg, Bremen University of the Arts, and Bern University of the Arts, establishing herself as a significant figure in European art and media theory education.

• Art History
• Digital Aesthetics
• Media Theory
• +4 more

Gert Zöller is an Associate Professor of Applied Mathematics at the University of Potsdam, specializing in statistical seismology and mathematical modeling of earthquake processes. He has held this position since 2018, following a period from 2008-2018 as a Research Associate and Lecturer at the Institute of Mathematics at the University of Potsdam. His research focuses on statistical and physical models for earthquakes and other natural disasters, seismic hazard assessment, and extreme value statistics. Dr. Zöller earned his Diploma in Physics from Rheinische Friedrich-Wilhelms-University Bonn in 1995, his Doctorate (Dr. rer. nat.) from the University of Potsdam in 1999, and completed his Habilitation (Dr. rer. nat. habil.) in 2006. His academic journey included visiting scholar positions at the University of Southern California and the University of California, Santa Barbara in 2005. He has been actively involved in several major research initiatives including the DFG Collaborative Research Center 1294 (Data Assimilation) since 2017 and the DFG Graduate School NatRiskChange (Natural hazards and risks in a changing world) from 2015-2024. His research centers on developing sophisticated statistical models for earthquake forecasting, particularly focusing on the Groningen gas field in the Netherlands where induced seismicity has been a significant concern. Dr. Zöller's work integrates physics-based models with statistical approaches to improve seismic hazard assessment, with recent publications exploring Bayesian methods, Gaussian process modeling, and spatio-temporal analysis of earthquake sequences. His publications span top journals including Journal of Geophysical Research, Geophysical Journal International, and Bulletin of the Seismological Society of America. Dr. Zöller serves as a reviewer for numerous prestigious scientific journals including Science, Geophysical Research Letters, and Journal of Geophysical Research. He was Associate Editor of Nonlinear Processes in Geophysics from 2006-2014 and served as Scientific Officer for 'Earthquake Hazards' in the European Geosciences Union from 2010-2014. His professional memberships include the Seismological Society of America, American Geophysical Union, and European Geosciences Union. Currently, Dr. Zöller teaches 'Mathematics II for Economists' and serves on the Mathematics Examination Board at the University of Potsdam. His ongoing research continues to contribute significantly to the field of statistical seismology and earthquake hazard assessment, with publications extending into 2025.

• Statistical seismology
• Statistical models for earthquakes
• Physical models for natural disasters
• +3 more

Aleksandra Pawlicka is a prominent researcher specializing in cybersecurity , explainable AI , and disinformation detection . Her work bridges ethical considerations with technical innovations in network security and AI applications , particularly focusing on the intersection of human-robot collaboration , fake news analysis , and IoT vulnerabilities . Key research areas: Cybersecurity Ethics, AI Explainability, Disinformation Mitigation Notable collaborations: Marek Pawlicki, Rafal Kozik, Michal Choras Her publications analyze xAI challenges in intrusion detection, machine learning for network security, and ethical dilemmas in cybersecurity. She contributes to projects like ULTIMATE (robotic AI) and SWAROG (fake news detection), emphasizing transparency and practical implementation. Recent work explores adversarial attacks against AI systems , few-shot learning for cybersecurity, and neuro-symbolic reasoning for trustworthy AI. Her 2023 study on ChatGPT's impact on scientific communication highlights evolving technological and ethical landscapes in academic practices.

• Cybersecurity
• Explainable AI (xAI)
• Machine Learning
• +5 more

Prof. Dr.-Ing. Stephan Engelsmann is Professor of Structural Design and Structural Mechanics in the Department of Architecture at the State Academy of Fine Arts Stuttgart since 2002 and Deputy Chairman of the Architecture Study Commission. He also serves as President of the Baden-Württemberg Chamber of Engineers since 2014 and co-founded Engelsmann Peters GmbH Consulting Engineers in 2006. His career uniquely bridges academic excellence and professional engineering practice across multiple disciplines. His educational journey includes: Civil Engineering degree from Technical University of Munich (Dipl.-Ing., 1991) Research assistant at University of Stuttgart (1993-1998), earning Dr.-Ing. with dissertation on 'Integral concrete bridges' Architecture studies at University of Bath, UK (1998-1999), completing Master of Arts in Architectural Design with dissertation 'Rethinking the urban bridge as public space' Prof. Engelsmann's research focuses on the creative intersection of structural engineering and architectural design, where he emphasizes that 'constructive design is a controlled interaction between reason and emotion.' His work spans structural theory, innovative construction methods, and the integration of artistic expression with technical precision. He specializes in lightweight structures, bridge design, and the use of advanced materials including plastics, glass, and concrete, with particular emphasis on sustainable building practices and resource efficiency. His recent publications reveal a strong focus on innovative structural solutions for public infrastructure, particularly gridshell structures for shopping centers, elegant bridge designs, and sustainable construction methods. His work consistently explores the potential of unconventional materials and construction techniques, demonstrating how aesthetic considerations can be seamlessly integrated with structural efficiency in projects ranging from bus stations to cultural buildings. His numerous awards reflect excellence across engineering and architectural design disciplines: Multiple Hugo Häring Auszeichnungen (2020) for library and military facility projects Staatspreis Baukultur Baden-Württemberg (2020, 2016) German Design Gold Winner (2018) Preis des Deutschen Ingenieurbaus (2016) Iconic Design Award (2016) Red Dot Award (2015) Elias-Holl-Preis (1986) Throughout his career, Prof. Engelsmann has guided numerous student projects that bridge theory and practice, from the AKA seesaw (2011) to the UC°A Mobile climate adaptation project (2023). His teaching methodology emphasizes hands-on learning, with students developing and constructing innovative structures using materials ranging from traditional wood to advanced plastics. He has secured significant funding from organizations including the Baden-Württemberg Foundation to support research in sustainable construction and climate-adaptive architecture. Prof. Engelsmann leads the 'Class for Structural Design and Structural Engineering' at the State Academy of Fine Arts Stuttgart, where he and his team explore the boundaries between architecture and engineering. His consulting firm, Engelsmann Peters GmbH, works on sophisticated structural projects worldwide. Current research focuses include pneumatic structures for sun protection systems, experimental clay construction, and innovative approaches to urban climate adaptation through structural design, continuing his decades-long commitment to merging artistic expression with engineering precision.

• Structural Engineering
• Architectural Design
• Bridge Construction
• +7 more

Lorenz Fenk is a Research Group Leader at the Max Planck Institute for Biological Intelligence, focusing on neural systems, natural behavior, and evolutionary mechanisms. His group employs unconventional model systems like reptiles and integrates molecular/genetic, neurophysiological, and computational approaches. Education: PhD in Neurobiology/Genetics (2016), University of Cambridge, UK Diploma (Mag. rer. nat.) in Biology/Anthropology (2010), University of Vienna, Austria Research interests center on internally generated brain activity during sleep, inter-hemispheric competition in lizards, and the evolutionary foundations of cognitive processes. His work bridges spatio-temporal scales to explore sleep's role in memory, perception, and flexible behavior in dynamic environments. Appointments: Max Planck Research Group Leader (2024–present) Postdoc (2017–2024), Max Planck Institute for Brain Research, Germany Postdoc (2016–2017), MRC Laboratory of Molecular Biology, Cambridge, UK

• Neuroscience
• Neural Dynamics
• Sleep Research
• +3 more

Dr. Jae-Chun Jeon is a leading experimental physicist at the Max Planck Institute of Microstructure Physics in Halle, Germany, where he works within the NISE department (Nano-Systems from ions, spins and electrons). He joined the institute in 2018 after completing his postdoctoral fellowship at the University of Alberta, Canada. His research focuses on spintronics, unconventional computing devices, and cryogenic systems, with emphasis on developing novel memory and logic technologies for next-generation computing. Dr. Jeon earned his Ph.D. in condensed matter physics from the University of Alberta, Edmonton, Canada, in 2016. He continued his research as a postdoctoral fellow at the same institution, focusing on strongly correlated magnetic oxide materials for spintronic and neuromorphic applications before joining the Max Planck Institute. Dr. Jeon's research centers on unraveling the physics of complex systems including spintronics, correlated oxides, and atomically engineered materials to discover their advanced functionalities. He specializes in manipulating spin textures and states using spin electrons, with particular focus on current-induced domain wall motion and spin-orbit torque-induced magnetization switching for memory and logic applications. His work explores the potential of racetrack memory for both conventional binary memory and unconventional analogue systems such as probabilistic-bit and neuromorphic devices. His recent publications demonstrate a strong focus on advanced spintronic devices, particularly racetrack memory systems, domain wall logic, and Josephson junctions for quantum applications. The research spans fundamental physics of chiral domain walls, spin-orbit torque effects, and novel materials for spin-based computing. His work frequently appears in high-impact journals including Science, Nature family journals, and Advanced Materials, reflecting the significance of his contributions to the field. Dr. Jeon's research is supported by cutting-edge facilities including atomically thin film deposition systems, state-of-the-art electronics, and advanced device fabrication techniques such as electron beam lithography and ion beam etching/deposition. His work involves close collaboration with the research group led by Prof. Stuart Parkin, a director at the Max Planck Institute of Microstructure Physics.

• Spintronics
• Unconventional computing devices
• Neuromorphic computing
• +9 more

Dr. Fabio Lolicato is a Group Leader at the Biochemistry Center (BZH) , Heidelberg University, Germany. His research spans computational biophysics and biomembrane science, focusing on protein-lipid interactions, unconventional secretion, and membrane disruption mechanisms. He has held leadership roles since 2024 and previously served as a Principal Investigator (2023-2024). PhD in Computational Biophysics (University of Helsinki, 2016-2020) Post-doctoral research in Walter Nickel's lab (BZH, Heidelberg, 2019-2023) Active in scientific community as journal reviewer (2013-present) and conference organizer (2022) Dr. Lolicato's work integrates computational modeling with experimental approaches to study membrane dynamics, including protein translocation, lipid clustering, and viral fusion mechanisms. His publications highlight collaborations with interdisciplinary teams across Europe. Recent research trends include: Investigating FGF2 membrane translocation and unconventional secretion pathways Elucidating molecular mechanisms of influenza and Ebola virus entry Exploring apoptosis regulation through transmembrane domains Advancing structure-based drug design for amyloidogenic proteins Scientific Contributions: Key findings on cholesterol's role in PI(4,5)P2 clustering (2022) Identification of disulfide bridges in extracellular FGF2 release (2023) Discovery of IFITM3's lipid-sorting function against influenza (2023) Contact: Email: fabio.lolicato@bzh.uni-heidelberg.de Phone: +49 6221 54-4181 (Office), +49 6221 54-4746 (Lab) Address: Im Neuenheimer Feld 328, 69120 Heidelberg, Germany

• Computational Biophysics
• Biomembrane Research
• Molecular Biology
• +3 more

Falko Pientka is a Professor of Theoretical Condensed Matter Physics at the Institute for Theoretical Physics, Goethe University Frankfurt. His research focuses on quantum many-body systems, particularly in one or two dimensions and mesoscopic scales (~10 nm to microns), addressing states like Fermi liquids, superconductors, topological insulators, and spin liquids. Education PhD in Quantum Condensed Matter Physics (2014), Freie Universität Berlin Postdoctoral Fellow, Harvard University (2015-2018) Distinguished PKS Postdoctoral Fellow, Max Planck Institute for the Physics of Complex Systems (2018-2020) Research Interests span quantum transport, topological states of matter, and nonequilibrium dynamics. Key areas include understanding systems through low-energy excitations (e.g., Majorana quasiparticles, exciton polaritons), unconventional Josephson effects in magnetic junctions, and polaron dynamics in hybrid structures. His work often bridges theory with experimental proposals. Publications highlight advancements in topological superconductivity, quantum transport in low-dimensional systems, and nonequilibrium phenomena. Co-authors include researchers from Harvard, Princeton, and Max Planck Institute, with journals like arXiv , Physical Review B , and Physical Review X . Scientific Awards include prestigious fellowships at Harvard and Max Planck Institute, indicating recognition in theoretical condensed matter physics.

• Quantum many-body systems
• Topological states of matter
• Quantum transport
• +3 more

Tom Zimmermann is a full-time Professor for Data Analytics at the University of Cologne , affiliated with the Faculty of Management, Economics and Social Sciences (WiSo Faculty). His work bridges Data Science , Finance , and Empirical Macroeconomics , with a focus on monetary policy impacts, cybersecurity economics, and quantitative finance. Education : PhD in Economics (2009-2015) and MA in Economics (2009-2012) from Harvard University; Diploma in Economics (2004-2009) from the University of Bonn; Visiting student (2007-2008) at UC Berkeley. His research explores unconventional monetary policy effects (e.g., QE), publication bias in finance, cybersecurity costs in public sectors, and machine learning applications in macroeconomic forecasting. Key initiatives include collaborations with the ECONtribute Cluster of Excellence and the Cologne Laboratory for Economic Research (CLER). Selected Publications address topics like: Quantitative Easing and Bank Lending Standards Employment Effects of Unconventional Monetary Policy Publication Bias in Asset Pricing Cybersecurity Economics in Municipalities Machine Learning for Corporate Default Prediction Fiscal Multipliers and Policy Narratives His work spans Finance , Macroeconomics , and Data Science , with subfields in QE Analysis , Portfolio Theory , Cyber Risk , and Economic Policy . He is based at the University of Cologne’s WiSo Faculty, contributing to Germany’s first economics-focused Excellence Cluster focused on markets and public policy.

• Data Science
• Finance
• Empirical Macroeconomics
• +3 more