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Priscilla TurelliView profile

Lecturer

• Virology
• Immunology
• Molecular Biology
• +5 more

Priscilla Turelli is a Lecturer at EPFL's EDMS (Doctoral School of Life Sciences) and a Senior Scientist in the Federal School of Life Sciences. Her primary affiliation is with the Laboratory of Virology and Structural Immunology under the SV-IN unit, and she also collaborates with the Antanasijevic Group. She holds positions in both research and teaching roles, including faculty representation for P3-related scientific activities. Education: PhD in Cellular Biology (1997) - Université de la Méditerranée Master in Cellular Biology (1992) - Université de la Méditerranée Scientific Baccalaureate (1987) - France Research Focus: Her work spans virology, immunology, and epigenetics with a focus on: - KRAB zinc finger proteins' role in cancer and gene regulation - SARS-CoV-2 antibody development and viral mechanisms - Transposable elements' impact on human development and disease Key Research Trends in Publications: Recent work emphasizes structural virology (e.g., ACE2/SARS-CoV-2 interactions), epigenetic control via KRAB-ZFPs, and translational research in antiviral therapeutics. Her lab pioneered the discovery of KRAB-ZFPs' dual role in tumor suppression and immune defense mechanisms. Awards: 2023: Innosuisse Business Concept Training 2004: Bristol-Myers Squibb AIDS Award 1997-1999: Human Frontier Science Program Fellowship Grants & Teams: Leads interdisciplinary projects at EPFL's SV-IN lab and collaborates with industry partners (e.g., Innosuisse). Current projects include: - Development of broad-spectrum SARS-CoV-2 antibodies - KRAB-ZFP-driven cancer immunotherapies - Machine learning applications in protein design Labs/Teams: Core member of the Antanasijevic Lab (UPANTANASIJEVIC unit), coordinating multidisciplinary teams in structural immunology and viral pathogenesis.

Flavio DonatoView profile

Assistant Professor

• Neural Network Development
• Cognitive Functions
• Spatial Memory
• +5 more

Flavio Donato is an Assistant Professor of Neurobiology at the Biozentrum of the University of Basel, Switzerland, where he leads a research group investigating the structural and functional maturation of neural networks related to orientation and memory. His work focuses on how abstract thinking develops throughout life, with particular emphasis on neurons in the entorhinal cortex and hippocampus that create the brain's 'cognitive map' for navigating physical and conceptual spaces. Nationality: Italian Position: Assistant Professor of Neurobiology since 2019 Education: PhD in Neurobiology from University of Basel (Summa Cum Laude) Research Focus: Neural network development, memory formation, spatial cognition Donato's research program examines how neural networks supporting cognitive functions emerge during development. His laboratory conducts longitudinal studies visualizing, recording, and manipulating neural activity across multiple life stages of animals. Using approaches from genetics, quantitative behavioral analysis, in vivo imaging, viral tracing, computational modeling, and optogenetics, his team identifies stereotypical patterns of neural activity associated with specific behaviors. A key aspect of his work explores sensitive periods for neurodevelopmental disorders, investigating how traumatic experiences in children may increase susceptibility to mental illness later in life. His recent publications reveal trends in developmental neuroscience with a strong focus on hippocampal-entorhinal circuitry, memory formation mechanisms, and the ontogeny of cognitive functions. His research spans from molecular mechanisms of synapse formation to systems-level understanding of spatial representation and memory dynamics during development. Eppendorf & Science prize for neurobiology of 2017 (Grand Winner) for essay 'Assembling the brain from deep within' EMBO Long-term fellowship (2013-2015) As a principal investigator, Donato mentors PhD students including Vilde Kveim, who recently received the Shepherd prize for her PhD work. His lab, Donatolab, investigates how the brain stores multiple 'copies' of events as revealed in his August 2024 study. Donato is also active in the FENS-Kavli Network of Excellence, contributing to broader neuroscience discourse and policy discussions about the future of the field. His research group employs cutting-edge methodologies to study neural development from birth to functional maturity, with implications for understanding neurodevelopmental disorders and developing targeted therapeutic interventions based on deciphering mechanisms of neurotypical cognitive development.

• Neurobiology
• Reproductive Biology
• Mechanobiology
• +3 more

Prof. Fabian Ille is a Professor and Head of the Competence Center for Bioscience and Medical Engineering at Lucerne School of Engineering and Architecture (HSLU). He leads interdisciplinary research in biomedical engineering, space biology, and regenerative medicine. His academic background includes a Master's in Cell Biology from Heidelberg University and a PhD in Neuronal Stem Cell Biology from ETH Zurich, followed by postdoctoral work in the Space Biology Group. He combines clinical, computational, and engineering approaches to address challenges in musculoskeletal disorders and fertility treatments. Education: PhD in Neuronal Stem Cell Biology, ETH Zurich (Neuroscience Center Zurich) Master's in Cell Biology, University of Heidelberg Research Focus: Intervertebral disc and joint repair mechanisms under microgravity conditions Development of medical software solutions (CDSS, SaMD) for musculoskeletal and reproductive disorders Biomedical applications of microgravity research including space bioreactors and tissue engineering Data-driven approaches in fertility treatments and clinical decision support systems Key Projects: Space Bioreactor Development SORTHOdisc: Stem cell sorting technology for disc therapy PAEON Virtual Hospital System COSMOS Data Cockpit for personalized medicine Technical Contributions: Medical device testing methodologies (e.g., phacoemulsification instruments) Multi-omics analysis frameworks for space biology experiments AI-driven ERP data mining for service shop optimization Laboratory Infrastructure: Leads the Institute of Medical Engineering with specialized facilities for cell culture under microgravity simulation, electrophysiology labs, and biomedical software development hubs.

Ronan BoulicView profile

Researcher

• Virtual Reality
• Human-Computer Interaction
• Computer Graphics
• +10 more

Ronan Boulic is a Senior Researcher at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Computer and Communication Sciences. He leads the Immersive Interaction (IIG) research group and serves as a Senior Scientist in multiple departments including IC-SIN, IC-SSC, and GR-SCI-IC. His work focuses on motion synthesis for virtual humans and robots, human movement modeling, inverse kinematics, and immersive 3D interactions in virtual environments, with applications in virtual prototyping, gaming, ergonomics, and biomedical simulations. PhD in Computer Science (1986) from University of Rennes, France Habilitation (1995) from University of Grenoble, France Research interests include: Embodiment in Virtual Reality Human Movement Modeling and Optimization Motion Capture and Real-Time 3D Interaction Avatar Emotion Expression and Synchronization Cybersickness Detection and Mitigation Collision Detection and Inverse Kinematics His recent publications (2023-2025) emphasize cybersickness frameworks, avatar embodiment, and real-time motion control. He has supervised over 15 PhD candidates, including Nana Tian (2023) and Thibault Porssut (2021), and collaborates with the EPFL Cognitive Neuroscience Laboratory (LNCO). Teaching includes foundational Computer Science (ICC), Programming, and Software Engineering to first-year students. He is also a member of the PhD program committee for Robotics, Control, and Intelligent Systems at EPFL.

Marco HutterView profile

Professor

• Robotics
• Intelligent Systems
• Autonomous Navigation
• +4 more

Prof. Marco Hutter is a Full Professor at the Department of Mechanical and Process Engineering at ETH Zürich, and Deputy Head of the Institute for Robotics and Intelligent Systems. His research focuses on advanced robotics, including autonomous legged systems, robotic perception, and control strategies for challenging environments. He leads projects in areas such as forest inventory using legged robots, space exploration robotics, and mobile manipulation systems. His work emphasizes real-world deployment, with contributions to robotic navigation, sensor integration, and policy optimization. Prof. Hutter collaborates on large-scale datasets and frameworks like ROS-LLM for embodied AI, and explores applications in logistics, construction, and planetary exploration. His team develops both hardware (e.g., LEVA logistic vehicles) and software solutions (e.g., risk-guided diffusion models for safety-critical systems). Key projects include ETHcavation (construction environment understanding) and TartanGround (robot perception datasets). He pioneers work in agile locomotion policies, magnetic climbing robots, and multi-agent robotic teams for parcel delivery. His research bridges theoretical advancements with practical implementations, addressing challenges in terrain adaptation, energy efficiency, and robustness in autonomous systems.

Paul FrankenView profile

Associate Professor

• Sleep Homeostasis
• Circadian Rhythms
• Genetics (QTL Analysis)
• +5 more

Paul Franken is an Associate Professor at the Center for Integrative Genomics (CIG), University of Lausanne. His research focuses on the molecular mechanisms underlying sleep homeostasis and circadian rhythms, with emphasis on genetic and systems-level approaches. Franken received his PhD from the University of Groningen (1993) and conducted postdoctoral work at Stanford University and the University of Geneva. His lab investigates how sleep-wake states interact with circadian processes, using mouse models to study clock gene regulation, miRNA functions, and the genetic basis of EEG traits. Key projects include systems genetics of sleep deprivation and the role of NPAS2 in linking clock genes to metabolic state. Education: PhD in Neurobiology, University of Groningen (1993) Postdoctoral Training: Stanford University (1993–2000), University of Geneva (1996–2000) Affiliations: Member of the CIG since 2005; Group Leader with postdocs, PhD students, and technical staff Research Interests: The lab employs QTL mapping, molecular genetics, and in vivo imaging to unravel how sleep homeostasis and circadian rhythms are intertwined. Current projects explore: Genetic determinants of sleep traits using BXD and Collaborative Cross mouse populations Mechanisms linking clock gene expression (e.g., PER1/PER2) to wakefulness duration Role of miRNAs like miR-709 in sleep EEG regulation Systems biology approaches to integrate genomic, metabolomic, and behavioral data Grants & Collaborations: Supported by Swiss National Science Foundation and EU grants. Collaborates with neuroscientists, bioinformaticians, and clinicians to advance sleep medicine. Labs/Teams: Franken leads a multidisciplinary team at CIG, including studies on vestibular stimulation effects (rocking and sleep) and peripheral clock interactions.

Dmitry VetrovView profile

Professor

• Bayesian Deep Learning
• Diffusion Models
• Loss Landscape Analysis
• +5 more

Dmitry Vetrov serves as a Professor of Computer Science at Constructor University in Bremen, where he founded and leads the Bayesian Methods Research Group. His academic foundation includes graduation from Moscow State University in 2003 and completion of his PhD in 2006, establishing a career centered on advancing probabilistic machine learning methodologies. His educational trajectory features: Undergraduate studies at Moscow State University (2003) Doctoral degree (PhD, 2006) Vetrov's research program critically bridges Bayesian statistics with deep learning architectures, with his group pioneering efficient diffusion model algorithms, loss landscape characterization in neural networks, scalable stochastic optimization tools, tensor decomposition applications for large-scale ML systems, and enhanced conditional text generation frameworks. This work manifests practical implementations across generative AI domains while maintaining theoretical rigor in probabilistic modeling. Analysis of his 2024-2025 publications reveals a concentrated research thrust toward diffusion model innovation, spanning text generation (token embedding smoothing, language model encoding properties), image synthesis (hair transfer, gesture generation), and scientific applications (protein modeling, genetic fine-mapping). Key thematic threads include sampler acceleration, theoretical property analysis of diffusion processes, and robust evaluation frameworks for generative systems. No scientific awards were documented in the source materials. Mentorship outcomes demonstrate significant impact, with three recent PhD students securing research positions at DeepMind. While specific grant details remain undisclosed, the group's prolific output across NeurIPS, ICML, and CVPR indicates sustained research funding. The Bayesian Methods Research Group operates as an integrated innovation hub within Constructor University's academic ecosystem. The research collective he directs maintains active development of Bayesian-deep learning fusion techniques, with current projects emphasizing diffusion model efficiency, theoretical foundations of optimization landscapes, and cross-domain applications in computational biology and multimodal generation.

Chengwei ZhengView profile

Research Fellow

• Dynamic Reconstruction
• Machine Learning
• 3D Animation
• +2 more

Chengwei Zheng is a Research Fellow in the Advanced Interactive Technologies lab at ETH Zurich. He earned his B.S. and Ph.D. in Software Engineering from Tsinghua University, Beijing, China, under the guidance of Prof. Feng Xu. Research Interests: Dynamic 3D Reconstruction Machine Learning Applications 3D Animation Techniques Computer Vision Human Modeling Scene Interaction Publications focus on monocular video-based 3D reconstruction, including contributions to CVPR 2025 and ECCV 2024. Key works include GauSTAR for Gaussian surface tracking, ReLoo for loose garment modeling, and HSR for integrated human-scene analysis.

• Data Science
• Healthcare Informatics
• Biomedical Imaging
• +5 more

Dr. Robert Vorburger is a Lecturer and Co-Head of the Research Centre Focus: Data Management & Visualization at the ZHAW School of Life Sciences and Facility Management. He holds a PhD and specializes in interdisciplinary applications of data science across healthcare, agriculture, and industrial systems. His work bridges academic research with real-world enterprise solutions. Education: PhD in Computational Life Sciences (specific university not explicitly listed) Research Focus: His research spans data-driven healthcare solutions , automated image analysis , and IoT-enabled business models . Notable areas include: Development of web-based food frequency questionnaires for public health studies Automated MRI analysis techniques for neurodegenerative diseases Data science education frameworks for modern enterprises Cocoa production optimization through data analytics Recent Trends in Publications: Vorburger's articles reflect a growing emphasis on interdisciplinary problem-solving , with contributions to: Medical imaging biomarkers (WMH quantification, beta-amyloid deposition) Digital agriculture tools (pest surveillance systems) Industry 4.0 business models for manufacturing Projects & Leadership: Deputy leader for Breeding Wheat for High Baking Quality and Compensation Study Universities Project leader for Bridging the Gap: Autonomous Maintenance Services and Predictive Analytics for Hospital Supply Chains Contributions to AWACS Animal Welfare Assessment System and Cocoa in Numbers initiatives Labs & Teams: He leads the Data Management & Visualization Research Centre at ZHAW, focusing on: Enterprise data strategies Healthcare informatics tools IoT-enabled industrial systems

Paolo FavaroView profile

Professor

• Computer Vision
• Computational Photography
• Machine Learning
• +4 more

Prof. Dr. Paolo Favaro is a full Professor and Head of the Computer Vision Group (CVG) at the University of Bern's Institute of Computer Science. He holds a Laurea (BSc+MSc) from the University of Padova, Italy, and M.Sc. and Ph.D. in Electrical Engineering from Washington University in St. Louis. His career includes postdoctoral roles at UCLA and Cambridge University, followed by work in medical imaging at Siemens Corporate Research. From 2006–2011, he was Lecturer and Reader at Heriot-Watt University, and Honorary Fellow at the University of Edinburgh before joining Bern in 2012. His research focuses on computer vision , computational photography , machine learning , and signal/image processing , with contributions to inverse problems and variational techniques. His work spans theoretical advancements and practical applications, such as video diffusion models, unsupervised segmentation, and image restoration. He is an active member of the IEEE Society. Recent research trends emphasize generative models (e.g., diffusion models, video generation) and self-supervised learning , addressing challenges in real-world image/video denoising and sparsity-driven methods. His articles explore topics like Kalman-based optimization, multimodal world models, and spatio-temporal representation learning. Prof. Favaro leads the CVG, fostering interdisciplinary research at the intersection of computer vision and AI. His lab develops cutting-edge solutions for 3D reconstruction, medical imaging, and autonomous systems.

• Animal Physiology
• Livestock Science
• Genetics
• +3 more

Dr. Carmen Winters is a Researcher at the Department of Environmental Systems Science, ETH Zurich, affiliated with the Professorship for Animal Physiology. Her work focuses on animal physiology and genetics, particularly in livestock resilience, precision farming, and behavioral studies. She develops automated methods for assessing genetic traits in pigs and mice, emphasizing applications in breeding programs and animal welfare. Research interests include livestock genetics, animal behavior quantification, and the integration of technology in livestock management. She leads projects on improving pig vitality through selective breeding and uses machine learning for automated monitoring of animal activity and morphology. Her contributions bridge genetic analysis with practical farming solutions. Recent work highlights include validating breeding programs to reduce congenital defects and tail-biting in pigs, and developing open-source tools for pose estimation in livestock. Despite her significant contributions, no scientific awards are explicitly listed in available texts. She collaborates on interdisciplinary teams within ETH Zurich’s environmental systems framework.

Hari Priya RavindranView profile

Assistant Professor

• Mathematical Biology
• Optimal Control Theory
• Computational Biology
• +6 more

Hari Priya Ravindran is an Assistant Professor in the Department of Mathematical Sciences at Middle Tennessee State University (MTSU). She holds a doctoral student status at the École Polytechnique Fédérale de Lausanne (EPFL) in Materials Science and Engineering. Her research focuses on mathematical biology, optimal control theory, computational biology, and applications in epidemiology, oncology, and quantum computing. She leads the NSF-funded REU Site on Computational Modeling and has organized interdisciplinary conferences such as the SIMIODE EXPO and CUGH satellite sessions on AI ethics in global health. Her educational background includes advanced studies in mathematical modeling and systems biology. She has received grants from the NSF and MTSU for projects like the ADVANCE IT-Catalyst initiative to promote women in STEM. Her work integrates machine learning, differential equations, and quantum computing to address challenges in healthcare, environmental management, and disease control. Ravindran’s research spans topics such as malaria control, tumor growth modeling, and AI-driven ASD classification. She collaborates internationally, including with institutions in China and Canada, and has published widely in journals like AIMS Mathematics and Journal of Biological Dynamics .

• Robotics
• Computer Graphics
• Control Systems
• +3 more

Prof. Stelian Coros is an Associate Professor at the Department of Computer Science, ETH Zürich, and Head of the Institute for Intelligent Interactive Systems. His research focuses on robotics, computational design, and control systems, with applications in robotic manipulation, simulation, and autonomous systems. His work integrates principles from computer science, mechanical engineering, and artificial intelligence to advance the capabilities of robots in real-world environments.

Georgios SamarasView profile

Researcher

• Biomechanics
• Food Science
• Mechanical Engineering
• +3 more

Dr. Georgios Samaras is a Researcher at the Institute for Biomechanics, ETH Zürich. His work focuses on biomechanical systems, food science, and material characterization, with expertise in computational mechanics and rheology. He leads experimental and numerical studies on oral processing mechanics, aeration effects on food materials, and tribological interactions in biological systems. Research interests include fracture mechanics of aerated emulsions, thermal property modeling of micro-aerated materials, and simulation of oral breakdown processes. His work bridges mechanical engineering with food science, addressing material behavior under mechanical and thermal loads. Key contributions involve developing finite element models for predicting fragmentation during mastication and analyzing time-dependent mechanical properties of emulsions. His studies also extend to cardiovascular biomechanics, including aneurysm initiation in animal models. Labs/Teams: Core member of the Biomechanics Group at ETH Zürich's Institute for Biomechanics. Collaborates with food engineering and material science teams on interdisciplinary projects.

• Computer Science
• Computer Graphics
• Digital Humans
• +3 more

Dr. Rafael Wampfler is a Lecturer at the Department of Computer Science (D-INFK) at ETH Zurich, specializing in computer graphics and digital human research. His contact information includes an office at CAB G 81.2 and the address Universitätstrasse 6, 8092 Zurich. He teaches the Autumn Semester 2025 course 'Seminar on Digital Humans.' His research interests revolve around computer graphics, with a focus on digital humans, human-computer interaction, and virtual reality applications. These areas are reflected in his course offerings and departmental affiliation. No scientific awards or grants are explicitly listed in the provided information. He has no recorded advisees or students in the data provided.