جستجوی استاد راهنمای دانشگاهی

Mahsa Shoaran is a Tenure-Track Assistant Professor at EPFL (École Polytechnique Fédérale de Lausanne) jointly appointed at the Center for Neuroprosthetics and the Institute of Electrical Engineering . She is also the founding director of the Integrated Neurotechnologies Laboratory (INL) and contributes to several doctoral programs and teaching missions across EPFL’s School of Engineering (STI). Education: PhD in Electrical Engineering, EPFL (2015) M.Sc. & B.Sc., Sharif University of Technology Postdoctoral Fellow, California Institute of Technology (Caltech) (2015-2017) Former Assistant Professor, School of Electrical and Computer Engineering, Cornell University (2017-2019) Research Focus: Dr. Shoaran’s work sits at the convergence of integrated circuit design , machine learning , and neuroscience . Her group develops ultra-low-power, miniaturized system-on-chips (SoCs) capable of real-time neural recording , pathology detection , and closed-loop therapeutic intervention such as adaptive neurostimulation. Machine-learning algorithms running on-chip enable precise symptom detection in neurological and psychiatric disorders, while advanced circuit techniques guarantee energy efficiency suitable for long-term implantable or wearable neural interfaces. Scientific Awards & Grants: ERC Starting Grant 2021 Google Faculty Research Award in Machine Learning 2019 Swiss NSF Postdoctoral Fellowships NSF Award for Young Professionals – Smart & Connected Health MIT EECS Rising Star 2015 Doctoral Advising & Service: She currently supervises 14 PhD students in the Integrated Neurotechnologies Laboratory. Additionally, she serves on the PhD program committees for Electrical Engineering (EDEE), Microsystems & Microelectronics (EDMI), and contributes to the Neuro-X and SEL teaching programs. She is a Technical Program Committee member for IEEE CICC and serves on the Student Research Preview committee for ISSCC. Laboratory & Collaborative Teams: The Integrated Neurotechnologies Laboratory (INL) at EPFL Campus Biotech in Geneva hosts her interdisciplinary team of circuit designers, machine-learning researchers, and neuroscientists. The lab collaborates closely with clinicians to translate innovations into real-world neuroprosthetic and diagnostic devices.

• Neural interfaces
• Neuroprosthetics
• Analog and mixed-signal integrated circuits
• +۵ مورد دیگر

Florent Waltz is an SNSF Ambizione Project Leader hosted at the University of Basel's Biozentrum within the Engel Lab, leading research on mitochondrial architecture in photosynthetic organisms using cutting-edge cryo-electron tomography. His work bridges structural biology, evolutionary studies, and cellular energy metabolism with a focus on green micro-algae like Chlamydomonas reinhardtii. His research program explores three interconnected themes: (1) visualizing mitochondrial architecture and remodeling using cryo-ET to understand energy production under environmental changes; (2) investigating mitochondrial evolution across eukaryotes with emphasis on photosynthetic organisms; and (3) examining molecular-level interactions between mitochondria and chloroplasts. His March 2025 Science publication on the in-cell architecture of the mitochondrial respiratory chain represents a landmark achievement in visualizing molecular machines within native cellular contexts. Waltz co-developed TomoGuide, an online resource for cryo-ET workflows, and contributed to major datasets like the 1,829-tomogram Chlamydomonas resource enabling community-driven visual proteomics. His technical innovations include MemBrain v2 for membrane analysis in cryo-ET data. SNSF Ambizione Fellowship (major Swiss early-career award) Featured on Science magazine cover (March 2025) Key contributor to open science resources for cryo-ET community As a collaborative researcher, Waltz participates in international consortia studying mitochondrial biology, plant systems, and cryo-ET methodology development. His work has established new standards for in situ structural analysis of energy-producing organelles while advancing open science through public data sharing and software tools.

• Mitochondrial Biology
• Cryo-Electron Tomography
• Photosynthetic Organisms
• +۳ مورد دیگر

Julien Baglio is a researcher affiliated with the Department of Physics at the University of Basel , where he contributes to cutting-edge quantum physics research. He is associated with the Basel Quantum Center , Basel QC2 Center , and the national research center NCCR SPIN , focusing on spin qubits in silicon for quantum computing. His work intersects with computational physics and nanophysics, emphasizing scalability and quantum error correction. The Department of Physics at the University of Basel leads international research in nano- and quantum physics, cosmology, and particle physics, supported by centers like the Swiss Nanoscience Institute (SNI) and collaborations with IBM Research, ETH Zurich, and EPF Lausanne.

• Quantum Physics
• Computational Physics
• Nanophysics
• +۳ مورد دیگر

Dr. Frederik Flöther is a researcher affiliated with the Department of Physics at the University of Basel , part of the Faculty of Humanities and Natural Sciences . His work is associated with advanced research areas like nano and quantum physics, computational physics, and silicon-based quantum computing development through the NCCR SPIN program. Collaborates with Swiss Nanoscience Institute (SNI) Part of Basel Quantum Center initiatives Involved in cutting-edge nanofabrication and quantum device prototyping

• Nano Physics
• Quantum Physics
• Computational Physics
• +۲ مورد دیگر

Prof. Dr. Jan Pieter Abrahams is a distinguished Professor at the Biozentrum of the University of Basel, where he has been leading research since 2015. Previously, he served as Professor at Leiden University from 1997 to 2015. His research group focuses on uncovering the elementary structures of life through the development of innovative high-resolution bioimaging techniques. Dr. Abrahams completed his Ph.D. at Leiden University in 1991, following earlier doctoral and Candidaats diplomas from the same institution. His academic journey began with a European Baccalaureate from the European School in Bergen, the Netherlands in 1979. Prior to his professorial appointments, he worked as a staff scientist and postdoctoral researcher at the MRC Laboratory of Molecular Biology in Cambridge, UK (1990-1997), and was associated with the Netherlands Scientific Organization at Leiden University from 1985-1990. His research interests center on visualizing the molecular and atomic structure of proteins, which play essential roles in all basic life processes. His group develops and combines cutting-edge technologies from physics, biology, and scientific computing to elucidate atomic structures of proteins. A major focus is addressing the challenge that many proteins fail to form 3D crystals, for which they develop novel sample preparation techniques, optimize data acquisition methods, and refine analysis approaches. They employ X-ray crystallography, electron microscopy, atomic force microscopy, and various spectroscopic methods in their work. Analysis of his recent publications reveals a strong emphasis on electron diffraction techniques as a promising tool for visualizing atomic structures of biologically important proteins. His work spans multiple applications including understanding amyloid formation in Alzheimer's disease, malaria parasite mechanisms, bacterial structures, and developing new instrumentation for structural biology. The research shows a clear trajectory toward higher resolution imaging, computational analysis integration, and addressing previously intractable structural biology problems through innovative methodological approaches. Dr. Abrahams' laboratory at the Biozentrum (Room 05.038) maintains an active research program with administrative support from Karen Bergmann. His group's work on protein structure determination has significant implications for understanding molecular processes in both healthy and diseased organisms, with potential applications in drug development and disease treatment strategies.

• Structural Biology
• Protein Structure
• High-Resolution Bioimaging
• +۵ مورد دیگر

David Brückner is an Assistant Professor of Theoretical Biophysics at the Biozentrum of the University of Basel, Switzerland, where he leads a research group investigating the physics of living systems. Appointed in April 2025, he develops theoretical frameworks to understand how cellular interactions govern multicellular organization during development. His work bridges statistical physics, soft matter theory, and developmental biology to address fundamental questions about information processing in biological systems. Brückner's research focuses on stochastic dynamics in developmental systems , exploring how cells make reliable decisions despite biological noise. He investigates Mechanical and biochemical information transmission in tissues Cellular memory mechanisms in confined migration General physical principles across developmental systems Self-organization in multicellular structures His approach combines biophysical modeling with information theory and machine learning to connect theoretical predictions with experimental data. His recent publications reveal groundbreaking insights into cellular memory during migration, hyperdisordered biological packing, and information flow in developmental systems. Notable work published in Nature Physics (2025) demonstrates how the actin cortex serves as a mechanical memory enabling efficient navigation through confined spaces – crucial for understanding wound healing and cancer metastasis. Brückner's scientific achievements have been recognized through prestigious awards including an ERC Starting Grant (2025), the Gustav Hertz Prize (2022), and an EMBO Long-Term Fellowship (2022). His research is supported by international collaborations with experimental laboratories worldwide. As a newly established group leader, Brückner actively recruits PhD students and postdoctoral researchers for his ERC-funded "InfoFate" project, which investigates how cells integrate dynamical, neighborhood, and mechanical signals to make fate decisions. His laboratory employs interdisciplinary approaches combining theoretical physics with cutting-edge biological data.

• Theoretical Biophysics
• Physics of Living Systems
• Multicellular Systems
• +۶ مورد دیگر

Daniele Silvestro is a researcher at ETH Zürich's Department of Biosystems Science and Engineering, working within the Computational Evolution group based in Basel, Switzerland. His research spans evolutionary biology, computational methods, and biodiversity science, with a focus on developing and applying novel analytical approaches to understand macroevolutionary patterns. Dr. Silvestro's research interests center on evolutionary biology and computational approaches to understanding biodiversity patterns through time. His work bridges micro- and macroevolutionary scales, with particular emphasis on phylogenetic methods, speciation processes, and the integration of fossil data with molecular phylogenies. He applies machine learning and artificial intelligence techniques to analyze large-scale biodiversity datasets, addressing questions about species diversification, extinction dynamics, and ecological interactions across deep time. His recent publications demonstrate a strong trend toward computational innovation in evolutionary biology, with increasing integration of artificial intelligence methods to tackle complex questions in biodiversity science. His work spans multiple biological systems, from plant-soil interactions to mammalian evolution, reflecting an interdisciplinary approach that combines theoretical modeling with empirical data analysis. Dr. Silvestro collaborates extensively with researchers across institutions and disciplines, contributing to major initiatives such as the 2030 Declaration on Scientific Plant and Fungal Collecting. His research has significant implications for biodiversity conservation, particularly in understanding how species and ecosystems respond to environmental change. His work on computational methods, including software development like DeepDiveR, demonstrates a commitment to creating practical tools for the broader scientific community. His research group at ETH Zürich appears to focus on developing and applying cutting-edge computational approaches to evolutionary questions, emphasizing the importance of integrating multiple data sources and analytical frameworks.

• Evolutionary Biology
• Phylogenetics
• Macroevolution
• +۵ مورد دیگر

Dr. Martin Colombano Sosa is a Professor at the Chair of Photonics within ETH Zurich, a leading institution in science and technology. His research focuses on photonics, a field that involves the generation, detection, and manipulation of light for various applications in telecommunications, computing, and sensing. His work contributes to advancing optical technologies and their integration into modern systems. While specific details about his publications, awards, or students are not provided in the available information, his role at ETH Zurich underscores his expertise and involvement in cutting-edge research and education in photonics.

• Photonics
• Optics
• Quantum Physics
• +۱ مورد دیگر