Find Academic Supervisors

• Logistics Management
• Supply Chain Management
• Operations Research
• +2 more

Dr. Maximilian Löffel serves as a Lecturer at ETH Zurich's Department of Management, Technology, and Economics (D-MTEC), affiliated with the Chair of Logistics Management (Professur für Logistikmanagement). Based at WEV F 121, Weinbergstrasse 56/58 in Zurich, Switzerland, he contributes to the institution's academic mission in quantitative management sciences. His research spans critical domains in modern logistics systems: Mathematical optimization of supply chains Digital transformation in transportation networks Sustainability-driven logistics modeling Technology-economics interfaces in global trade Real-time decision architectures for distribution systems Dr. Löffel's work integrates computational methods with economic theory to address complex logistical challenges in industrial and humanitarian contexts. His teaching focuses on analytical frameworks for logistics engineering within D-MTEC's curriculum. No scientific awards were documented in available sources. Information regarding student supervision, research grants, or laboratory affiliations remains unspecified in current institutional records.

Simon AeschbacherView profile

Research Fellow

• Population Genomics
• Speciation
• Local Adaptation
• +5 more

Simon Aeschbacher is an Independent Research Fellow at the Department of Evolutionary Biology and Environmental Studies, University of Zurich. His work bridges mathematical theory, computational methods, and genomic data to address fundamental questions in evolutionary biology. His educational background includes: M.Sc. in Zoology (2007) and undergraduate studies (2001-2003) at University of Zurich Ph.D. in Evolutionary Biology (2008-2011) at University of Edinburgh/IST Austria under Nick Barton Postdoctoral positions at University of Vienna (2011-2013), UC Davis (2014-2016), and University of Bern (2017) Aeschbacher's research centers on population genomics, specializing in the interplay between gene flow, natural selection, and recombination. His work combines mathematical modeling with genomic analyses to investigate local adaptation, speciation, and human evolutionary history. Key contributions include developing methods for demographic inference and quantifying selection against gene flow. His publication record shows a clear trajectory from theoretical foundations (early work on linkage effects) to applied genomic methodologies (recent development of gIMble for barrier detection). Current research emphasizes human evolution, plant speciation, and hybridization dynamics across diverse taxa. Scientific recognition includes: Swiss NSF Advanced Postdoc.Mobility Fellowship While not explicitly mentioned in the text, his role as Independent Research Fellow implies grant leadership and potential mentoring responsibilities. His work with multiple international collaborators suggests active participation in research networks across Europe and North America.

Fabian TorresView profile

Lecturer

• Transportation Systems
• Operations Research
• Statistical Modeling
• +3 more

Fabian Torres is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the College of Engineering ( ENAC ). He works in the Transportation and Mobility Laboratory (TRANSP-OR) and SGC-ENS (Civil Engineering Teaching). His research spans transportation systems, operations research, and algorithm design. Research Focus : Modeling driver behavior and decision support in transportation Statistical modeling of transportation systems Algorithm development for pricing and routing optimization Scientific Contributions : Recent work includes continuous pricing algorithms, crowdshipping logistics, stochastic vehicle routing, and elevator dispatching optimization. His publications emphasize integrating advanced discrete choice models with operational challenges in transportation.

Oliver KröcherView profile

Adjunct Professor

• Heterogeneous Catalysis
• Environmental Engineering
• Emission Control
• +3 more

Oliver Kröcher is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences (SB) , specifically in the Institute of Chemical Sciences and Engineering (ISIC) and the SCGC-ENS group. His research focuses on heterogeneous catalysis for environmental and energy applications, including emission control, NOx and N2O abatement, methane oxidation, and CO2 utilization. He also contributes to educational initiatives, such as Catalysis for emission control and energy processes .

Olivier LévêqueView profile

Researcher

• Information Theory
• Random Matrices
• Stochastic Calculus
• +2 more

Olivier Lévêque is a Senior Scientist at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences. He conducts research at the Laboratory of Information Theory (LTHI) and holds teaching responsibilities in both Communication Systems (SSC) and Computer Science (SIN) sections. Additionally, he contributes to the Interface EPFL-Gymnases initiative. Lévêque obtained his Physics diploma (1995) and PhD in Mathematics (2001) from EPFL, with a visiting lectureship at Stanford University's Electrical Engineering Department in 2005-2006. His research explores fundamental aspects of information theory , random matrices , and stochastic calculus , with applications in wireless communications and network theory. Key interests include capacity scaling laws in ad hoc networks, diversity-multiplexing tradeoffs, and mathematical frameworks for communication systems. Recent publications demonstrate broad interdisciplinary engagement, spanning computational thinking assessment (2022), digital education frameworks (2019), satellite positioning systems (2018), and theoretical advances in probability (2018). His work consistently integrates mathematical rigor with practical communication challenges, particularly in wireless network optimization and information-theoretic security. He has supervised four doctoral students at EPFL and teaches courses including Information, Computation, Communication , Markov Chains and Algorithmic Applications , and Cryptography . Lévêque leads research activities within the Laboratory of Information Theory, focusing on theoretical foundations of modern communication systems.

Jasmin WandelView profile

Professor

• Biomechanics
• Medical Engineering
• Computational Modeling
• +5 more

Prof. Dr. Jasmin Wandel serves as a Professor at Bern University of Applied Sciences within the School of Engineering and Computer Science. Her academic profile combines teaching responsibilities in engineering disciplines with active research in biomechanics and medical engineering applications. Her educational background includes a 2013 PhD dissertation on statistical methods for extreme value analysis in Gaussian processes, establishing her foundation in quantitative research methodologies. This statistical expertise informs her interdisciplinary approach to engineering problems. Professor Wandel's research program centers on biomechanical analysis of bone structures and medical device optimization . Key focus areas include: Computational modeling of fracture mechanics using finite element analysis Thermal management in surgical robotics and bone drilling procedures Biomechanical characterization of bone-implant interfaces Statistical methods for medical engineering data analysis Her work bridges theoretical engineering principles with clinical applications, particularly in orthopedics. Analysis of her publication trends (2013-2019) reveals consistent output in high-impact biomechanics journals, with increasing focus on clinically applicable research. The majority of her work involves collaborative projects with University of Bern researchers, demonstrating strong institutional partnerships in the Swiss medical engineering ecosystem. While specific awards aren't documented in available sources, her publication record in journals like Bone and Medical Engineering & Physics indicates peer recognition of her contributions to biomechanical research. Professor Wandel maintains active supervision of master's students at BFH, with research projects typically involving computational modeling and experimental validation. Her collaborations with University of Bern and industry partners like SVGW provide students with access to clinical datasets and real-world engineering challenges. Current research appears funded through institutional partnerships and applied research grants typical of Swiss Universities of Applied Sciences. Based at the Burgdorf campus, Professor Wandel contributes to BFH's strategic focus on Humane Digital Transformation through her work in medical robotics and computational biomechanics, integrating engineering solutions with human-centered healthcare applications.

• Financial Risk Management
• Econometrics
• Quantum Information Theory
• +3 more

Sandra Stupar serves as a Lecturer at the Lucerne University of Applied Sciences and Arts (HSLU), School of Business, within the Institute for Financial Services Zug (IFZ). She teaches core courses including Introduction to Mathematics for Business and Economics, Risk Models and Optimization, and Financial Risk Management across bachelor's and master's programs in Banking & Finance. Education: Bachelor and Master in Mathematics, Oxford University (2008-2012) PhD in Theoretical Physics (Quantum Information Theory), ETH Zurich (2012-2018) Dr. Stupar's research bridges financial risk management and quantum information theory. Her finance work focuses on corporate governance mechanisms—particularly board secretary roles—and practical risk modeling, evidenced by 2023 publications on VR-Sekretäre and Central Swiss financial monitoring. Earlier contributions to quantum physics explored clock synchronization and time operationalization, with foundational work published in PRX Quantum and arXiv. This dual expertise stems from her industry transition from Deloitte risk consulting to UBS quantitative analysis before academia. Recent publications (2022-2023) reveal a decisive shift toward applied finance: developing the Third-Party Risk Calculator, analyzing compliance frameworks, and monitoring regional banking sectors. Her quantum physics output has diminished since 2018, reflecting her career pivot toward financial applications where she leverages mathematical modeling for regulatory challenges. Dr. Stupar actively supervises master's research through project courses and practical methods modules. Her industry background enables direct translation of academic concepts into banking applications, particularly in risk assessment. Current projects like 'Return on Compliance' demonstrate her focus on bridging regulatory requirements with operational banking practices through institutional collaborations with IFZ and industry partners. Her work occurs within HSLU's Institute for Financial Services Zug ecosystem, characterized by close industry partnerships in Swiss financial regulation. The absence of a dedicated lab reflects her applied, project-based research model focused on immediate industry solutions rather than theoretical experimentation.