Blaise Melly is a Professor of Econometrics and Head of the Department of Economics at the University of Bern. He also serves as an Associate Editor of the Journal of Business and Economic Statistics . His research focuses on econometric methods, labor economics, and empirical microeconomics, with a strong emphasis on quantile regression techniques and their applications in policy analysis. Key research interests include panel data analysis, counterfactual analysis, treatment effects, and wage gap studies. He has developed influential Stata modules (e.g., QRPROCESS) and contributed to software tools for quantile regression. His work addresses issues like public vs. private sector wage gaps, informal labor markets, and policy evaluation using advanced statistical methodologies. Melly’s articles span methodological advancements (e.g., fast algorithms for quantile processes) and applied analyses (e.g., gender wage gaps, public sector wage dynamics). He actively contributes to the academic community through editorial roles and software development.
Prof. Giuseppe Carleo is a Professor specializing in quantum computing and machine learning for quantum many-body systems, renowned for developing the NetKet open-source software library. His research bridges theoretical physics and artificial intelligence to solve complex quantum problems. His primary research interests include: Variational quantum algorithms and neural quantum states Simulation of quantum dynamics and non-equilibrium phenomena Hamiltonian reconstruction and learning Open-source tool development for quantum simulation Recent publications (2022-2025) demonstrate leadership in applying machine learning to quantum systems, with breakthroughs in Bose gas dynamics, noise resilience in quantum state propagation, and scalable software frameworks. The NetKet project has become a cornerstone for researchers globally, enabling neural-network-based quantum simulations. While specific mentorship details are unreported, his collaborative publications indicate active supervision of computational physics projects. His work drives innovation in quantum computing infrastructure, with implications for quantum hardware development and algorithm design.
Prof. Tobias Donner is a faculty member at ETH Zurich, affiliated with the Quantum Optics research group. His work centers on theoretical and computational approaches to quantum many-body systems, with a focus on quantum simulations, cavity quantum electrodynamics, and GPU-accelerated computational methods. Research Interests: His expertise spans quantum optics, many-body physics, and computational physics. Key areas include: Quantum simulations of Bose-Einstein condensates Cavity QED phenomena GPU-based solvers for quantum equations Floquet engineering in polaritonic systems High-performance computing for quantum problems Publication Trends: Recent articles (2022–2024) emphasize computational tool development for quantum many-body systems, including GPU-accelerated solvers (e.g., TorchGPE) and theoretical studies of multimode-polariton dynamics using Floquet methods. Dominant themes include quantum simulations, open-source software, and light-matter interactions. Affiliation Context: He contributes to the Quantum Optics group at ETH Zurich, which explores quantum many-body phenomena, quantum simulations, and photonic systems.
Javier del Pino is a researcher at the University of Konstanz affiliated with the Zilberberg research group, focusing on computational approaches to nonlinear physical systems. His work bridges theoretical physics and software development for scientific applications. His research interests include: Nonlinear Dynamics Harmonic Balance Methods Scientific Computing Julia Programming for Physics Dr. del Pino's recent publications center on the HarmonicBalance.jl software suite, which implements harmonic balance techniques for solving complex nonlinear dynamical systems. This work demonstrates a strong trend toward open-source computational tools in physics research, emphasizing reproducibility and accessibility through the Julia programming language. The publications highlight applications in dynamical systems analysis with implications for engineering and theoretical physics. He actively collaborates within the Zilberberg research group at the University of Konstanz, contributing to projects in topological physics and nonlinear dynamics methodologies.
Dr. Christine Grundig is a Researcher at the University of Zurich's Institute of Art History, where she has contributed to the SNSF research project 'Heinrich Wölfflin's Collected Works' since October 2017 under Prof. Tristan Weddigen's chair. She plays a pivotal role in advancing Digital Humanities through both research and teaching, currently contributing to the swissuniversities P8 project (2021-2024) focused on systematic integration of digital skills into humanities education. Her academic journey began with studies in German and English for teaching at grammar schools at Julius-Maximilians-University of Würzburg, where she earned a Master's degree specializing in Older German Literature. She completed her dissertation on 'On Making a Fool. Authorship and Paratextuality in European Ships of Fools around 1500' under Prof. Dr. Joachim Hamm, scheduled for publication in 2023. Prior to Zurich, she held teaching and research positions at the University of Würzburg (2013-2017). Dr. Grundig's research bridges computational methods with humanities scholarship, focusing on digital editions, text/image processing, and OCR for historical documents. Her work demonstrates how digital tools can transform traditional humanities research while maintaining scholarly rigor. She has particular expertise in applying OCR4all and Transkribus to analyze medieval literary traditions, especially the 'Ship of Fools' corpus across European contexts. Her publication record reveals a clear interdisciplinary trajectory, with her 2019 Applied Sciences paper on OCR4all representing significant methodological contribution to historical document processing, while her literary studies publications demonstrate deep engagement with paratextuality and adaptation in medieval literature. This dual focus makes her work valuable to both computer scientists developing humanities applications and traditional scholars seeking new analytical approaches. Co-developer of OCR4all open-source tool for historical document processing Key contributor to digital edition of Heinrich Wölfflin's works Developer of curriculum for Digital Humanities education across multiple institutions Specialist in medieval literature with focus on the 'Ship of Fools' tradition Through her teaching modules, Dr. Grundig systematically introduces humanities students to essential digital skills including relational databases, automatic text recognition, and digital scholarly editions. Her approach emphasizes both practical application and critical reflection, helping students understand not just how to use digital tools but also their limitations and implications for humanities scholarship. Her work represents an important bridge between traditional humanities disciplines and emerging digital methodologies.
Prof. Dr. Ronny Standtke is Co-group leader of the Digital Manufacturing Group at the Institute of Digital Construction & Wood Industries, Bern University of Applied Sciences in Biel, Switzerland. He holds a doctoral degree in Computer Science from the University of Freiburg and a Diplom-Informatiker from TU Dresden, with additional studies at TU Helsinki. His academic appointments include Professor for Digital Manufacturing at BFH (2021-2023) and lecturer positions at FHNW and PH FHNW. Research interests span digital manufacturing, computer science applications, and sustainable digitalization, with specialized focus on: Digital twins and BIM for construction industries CAD/CAM integration and process automation Data science applications in wood technology Open-source solutions for public sector IT infrastructure His publications demonstrate interdisciplinary contributions, evolving from early cybersecurity and anonymity research (2001-2008) toward educational technology innovations like the Lernstick platform (2011-2015), with recent work in public sector digitalization and civil engineering risk assessment (2023-2024). Awards include the IBM Open Education Award 2015 for developing the Lernstick learning environment. Current projects focus on: Secure remote assessment systems Open-source alternatives to proprietary software in government Business integration platforms for wood industry automation He leads bachelor thesis supervision in digital manufacturing optimization and has advised 10+ students on topics including: Production planning automation Shopfloor data analytics ERP system development
