جستجوی استاد راهنمای دانشگاهی

Jonas Anderegg is a Lecturer at the Department of Environmental Systems Science, ETH Zurich. He holds a PhD and MSc from ETH Zurich in Agricultural Sciences. His research focuses on crop disease phenotyping, precision agriculture, and host-pathogen interactions. Current projects include automated image analysis for disease detection and quantification of Zymoseptoria tritici under field conditions. He has held postdoc positions in Plant Pathology (Institute of Integrative Biology) and Crop Science (Institute of Agricultural Sciences) at ETH Zurich. His work involves developing scalable imaging and deep learning methods for field phenotyping, with applications in quantitative resistance assessment and crop disease management. Education: PhD, Group of Crop Science, ETH Zurich (2016-2020) MSc in Agricultural Sciences, ETH Zurich (2015) Research interests emphasize high-throughput phenotyping, automated disease detection, and integrating imaging technologies into agricultural practices. Key contributions include datasets like SYMPATHIQUE and FIP 1.0, which provide foundational resources for crop disease research. Grants and advising: While no formal student advisees are listed, his postdoc roles and collaborative projects likely involve mentoring junior researchers. His work aligns with ETH Zurich's focus on sustainable agriculture and technological innovation in plant sciences. Labs and teams: Active member of the Crop Disease Phenotyping group, leveraging UAVs, thermal imaging, and deep learning for field-scale monitoring of crop health and senescence dynamics.

• Plant Pathology
• Precision Agriculture
• High Throughput Phenotyping
• +۳ مورد دیگر

Prof. Dr. Urs F. Greber is an Ordinary Professor of Molecular Cell Biology at the Department of Molecular Life Sciences, Faculty of Mathematics and Natural Sciences, University of Zurich. His research focuses on understanding how viruses interact with host cells, particularly adenoviruses and rhinoviruses that cause human respiratory diseases. He leads the Greber Lab, which investigates viral entry mechanisms, replication processes, and the cellular responses to infection. Greber's research interests span virology, molecular cell biology, and infection mechanisms. His lab explores how viruses take control over membrane and lipid functions, cytoplasmic transport processes, and cellular metabolism to support their gene expression and progeny formation. They employ system-wide profiling, molecular cell biology approaches, light microscopy, and machine learning for image analysis to map the cell state underlying viral infections of cultured and primary human cells, including lung organoids and iPSC-derived macrophages. A key focus is understanding cell-to-cell variability in infection phenotypes and the mode-of-action of antiviral compounds. The Greber Lab has published extensively on adenovirus biology, including viral entry, uncoating, nuclear import, and assembly mechanisms. Their recent work has identified broad-spectrum antiviral compounds, elucidated alternative virus entry pathways, and developed innovative imaging and AI-based approaches for quantifying virus infectivity. Their research contributes to understanding how viruses break down host defense barriers and has implications for antiviral therapy development. Greber has supervised numerous PhD and Master's students including Cornelia Bircher, Alessandro Savi, Franziska Tomas, Alfonso Gomez-Gonzalez, Anthony Petkidis, and Dominik Olszewski. His lab has received funding from the Swiss National Science Foundation, including a grant for coronavirus research during the pandemic. The lab actively collaborates with other research groups at University of Zurich, ETH Zurich, and international institutions. Current projects include exploring how viral DNA interactions contribute to infection outcome variability, investigating adenovirus egress mechanisms, and developing high-throughput screening methods for antiviral compounds.

• Virology
• Molecular Cell Biology
• Virus-Host Interactions
• +۸ مورد دیگر

Prof. Dr. Bruno Studer is a Full Professor at the Department of Environmental Systems Science, ETH Zürich, and Head of the Zurich-Basel Plant Science Center. His research focuses on plant genetics, genomics, and agricultural innovation, particularly in crop improvement, disease resistance, and microbiome interactions. He leads projects on genomic selection, plant breeding, and phenotyping technologies, addressing challenges in food security and environmental resilience. Affiliations: Department of Environmental Systems Science, ETH Zürich; Zurich-Basel Plant Science Center Research interests span plant-microbe interactions, genetic diversity in forage crops, and the development of tools for precision agriculture. His work integrates genomic prediction, digital phenotyping, and machine learning to enhance crop yields and environmental adaptability. Recent studies address bacterial leaf spot diseases, stomatal trait variation, and root rot resistance mechanisms in plants. Publications highlight advancements in genomic approaches for apple and ryegrass breeding, as well as microbial community dynamics linked to plant health. He contributes to initiatives like the Swiss Apple Core Collection and develops technologies like the FruitPhenoBox for rapid fruit trait analysis.

• Plant Genetics
• Agricultural Science
• Genomics
• +۶ مورد دیگر

Roles and Affiliations: Diana Santelia is a Privatdozent/Researcher at ETH Zürich's Department of Environmental Systems Science, affiliated with the Institute of Integrative Biology. She leads the Plant Molecular Physiology research group, focusing on carbohydrate metabolism in plants. She holds a senior scientist position and has been a habilitated lecturer since 2019, teaching molecular biology to Food Science and Environmental Sciences students. Education: BSc in Agricultural Sciences, University of Milan (2001) PhD in Molecular Plant Physiology, University of Zürich (2002–2006) Postdoctoral Researcher at ETH Zürich (2006–2011) Independent Group Leader at University of Zürich (2012–2019) Senior Scientist at ETH Zürich (2019–present) Research Interests: Her work centers on starch and sugar metabolism in guard cells and mesophyll tissues, particularly their roles in plant productivity, stress tolerance, and environmental responses. She uses Arabidopsis thaliana as a model and extends findings to crops like barley and tomato. Key areas include: Guard cell photosynthesis and stomatal movement regulation Starch granule formation and thylakoid membrane interactions Carbon allocation under abiotic stress Publications and Grants: Over 40 peer-reviewed articles since 2006, including work on thylakoid architecture, guard cell metabolism, and stress responses. Funded by Swiss National Science Foundation grants (e.g., 182570, 219583) for projects on starch metabolism and stomatal physiology. Teaching and Labs: Leads courses in molecular biology and contributes to plant environmental physiology workshops. Her lab develops tools like StomataPy for high-throughput phenotyping and collaborates internationally on plant stress adaptation.

• Molecular Plant Physiology
• Carbohydrate Metabolism
• Starch Metabolism
• +۳ مورد دیگر

Prof. Dr. Bernd Wollscheid is a Lecturer at the Department of Health Sciences and Technology (D-HEST) at ETH Zurich, Switzerland. He leads the Wollscheid Lab and the Proteomics Plattform D-HEST , focusing on decoding the extracellular interactome and the cell surfaceome's nanoscale organization. His work bridges biology, chemistry, medicine, and bioinformatics, developing cutting-edge technologies like LUX-MS and TRICEPS-based LRC to study cellular communication and signaling pathways. Research interests include understanding how the surfaceome influences cellular functions, particularly in disease contexts such as cancer and metabolic disorders. Key projects involve creating resources like the Cell Surface Protein Atlas and PROTTER , tools for visualizing proteoforms and analyzing multi-omics datasets. His lab also explores precision medicine applications, including biomarker discovery and tumor profiling for clinical decision support. Publications highlight advancements in multi-omics integration, drug repurposing, and functional proteomics. The lab collaborates on initiatives like the Swiss Personalized Health Network (SPHN) and the Personalized Health and related Technologies (PHRT) strategic focus area. Funding comes from public grants and strategic partnerships. Recruitment for motivated researchers is ongoing, emphasizing contributions to molecular health and surfaceome research.

• Molecular Health
• Proteomics
• Cell Signaling
• +۳ مورد دیگر

Claudia Bagni is a Full Professor and Vice-Dean of Research and Innovation at the Faculty of Biology and Medicine (FBM) of the University of Lausanne (UNIL), where she also directs a research team within the Department of Fundamental Neurosciences (DNF). She has held significant leadership roles, including Director of DNF from 2016 to 2021. Her academic journey includes professorial positions at the University of Rome Tor Vergata and KU Leuven in Belgium. Her research focuses on the molecular and cellular mechanisms of synaptic plasticity, with a primary emphasis on neurodevelopmental disorders. Key areas of study include Fragile X Syndrome (FXS), Autism Spectrum Disorders (ASD), and the broader category of synaptopathies. She investigates the role of the FMRP protein and RNA metabolism, utilizing diverse models such as mice, fruit flies (Drosophila), human cells, and organoids. A more recent and significant research direction explores the reduced cancer risk observed in FXS patients, with current work focusing on glioblastomas. The trends in her recent publications highlight a consistent focus on the molecular basis of synaptic dysfunction in neurodevelopmental disorders, the use of innovative model systems, and the translation of fundamental findings into clinical understanding. Her work bridges basic science and clinical application, aiming to develop personalized therapeutic strategies. Professor Bagni is a strong advocate for translational neuroscience, technological transfer, and multidisciplinary collaboration. She has played a key role in establishing research platforms like Neuro-Bau and a Drosophila platform at DNF, and supports the upcoming organoid platform. As Vice-Dean, she promotes the PACTT technology transfer unit and fosters interactions between research platforms, clinicians at CHUV, and industry. She is deeply committed to mentoring and advancing the careers of young researchers, particularly women in science. Her leadership extends to serving on prestigious international scientific advisory and funding committees, demonstrating her significant standing in the global research community.

• Neurobiology
• Synaptic Plasticity
• Neurodevelopmental Disorders
• +۹ مورد دیگر

Prof. Dr. Erik van Nimwegen is a Professor at the Biozentrum of the University of Basel, where he leads a research group focused on computational and systems biology. His laboratory is housed in Room 08.012 at the Biozentrum, with contact information including phone number +41 61 207 15 76 and email erik.vannimwegen@unibas.ch. His administrative support is provided by Rita Ruppen and Jonila Vladi. Van Nimwegen's research centers on understanding the function and evolution of genome-wide regulatory networks. His group investigates how cells control gene expression using both theoretical and experimental methods, with particular interest in deciphering the genome's regulatory code, analyzing gene expression dynamics from single cells to genome-wide regulatory programs, and uncovering quantitative laws of genome evolution. His interdisciplinary approach combines computational predictions with experimental data to model regulatory networks across organisms from E. coli to humans. His work has significant implications for understanding cellular behavior, developing evolutionary theory based on measurable quantities, and potential applications ranging from taming pathogens to engineering human tissue. Analysis of his recent publications reveals a consistent focus on gene regulatory networks, with increasing emphasis on single-cell analysis, computational modeling of biological systems, and the evolutionary aspects of gene regulation. His work spans bacterial systems (particularly E. coli) to higher eukaryotes, with recent publications showing expansion into visualization techniques for single-cell data, cancer research related to RNA processing, and even virology with work on COVID-19 origins. A notable trend is the integration of multiple data types (multiomics) and the development of sophisticated computational tools for analyzing complex biological systems. Van Nimwegen's group has developed numerous software tools and web services for regulatory and comparative genomics, including ISMARA (Integrated System for Motif Activity Response Analysis), CRUNCH (for ChIP-seq data analysis), SwissRegulon database, Phylogibbs, and others. These resources reflect his commitment to creating practical tools that advance the field of computational biology. His laboratory operates as an interdisciplinary team with researchers from diverse backgrounds including theoretical physics, computer science, and molecular biology. The group actively recruits postdocs and engineers, as evidenced by a 2018 posting seeking researchers for computational analysis of bioimages. His work has established important theoretical frameworks for understanding gene regulatory networks and their evolution, with significant contributions to the field of systems biology.

• Gene Regulatory Networks
• Genome Evolution
• Computational Biology
• +۵ مورد دیگر

Gerardo Turcatti is an Adjunct Professor at the School of Life Sciences (EPFL), leading the Biomolecular Screening Facility (BSF) and the Biomolecular Screening Core Facility. He holds roles in SSV-Teaching and directs the ACCESS program under the NCCR-Chemical Biology initiative. With a Master's in Chemical Engineering (University of Geneva) and a PhD in Chemistry and Biochemistry (EPFL, where he won the best doctoral thesis award), his expertise spans multidisciplinary R&D in drug screening, chemical biology, and bio-analytical chemistry. His research focuses on high-throughput screening technologies, including holographic imaging for cardiomyocyte dynamics and red blood cell storage studies. He has pioneered platforms for malaria drug discovery and cancer therapeutics, leveraging 3D tumoroid models and combinatorial chemistry. His work extends to antiviral research, including SARS-CoV-2 inhibitors and canine distemper virus studies, and includes innovations in nucleic acid sequencing technologies through his former role as CTO of Manteia S.A. Key Projects: ACCESS platform, BSF facility, Next-Gen sequencing tech development Teaching: Leads the 'Methods: from disease models to therapy' course, integrating hands-on platform rotations in life sciences Labs/Teams: Directs EPFL's Biomolecular Screening Facility and collaborates with industry and academic partners Publications emphasize translational applications, including drug repurposing, cardiovascular toxicity screening, and red blood cell storage optimization. His contributions bridge academic research and industrial innovation, with over 100 peer-reviewed articles and patents in chemical biology and drug discovery.

• Drug Screening
• Chemical Biology
• Bio-analytical Chemistry
• +۵ مورد دیگر

Prof. Johannes Bohacek is an Associate Professor at ETH Zürich's Department of Health Sciences and Technology, within the Institut für Neurowissenschaften. His research focuses on understanding how acute stress events lead to anxiety disorders, particularly through noradrenaline's role in molecular and circuit-level brain changes. He leads the Molecular and Behavioral Neuroscience (MBN) lab, emphasizing transgenerational epigenetic effects and neuromodulation. Notable contributions include the BehaviorFlow pipeline for rodent behavior analysis and studies on locus coeruleus-norepinephrine signaling. He was a finalist for the 2024 Art of Leadership Award (ALEA). His work is published in top journals like Nature Methods and Nature Neuroscience . Contact: Email , Lab Website .

• Stress Neuroscience
• Anxiety Disorders
• Neuromodulation (Noradrenaline)
• +۷ مورد دیگر

Yonika Larasati is a Research Fellow at the University of Geneva, focusing on molecular mechanisms underlying genetic disorders and drug discovery. Her work bridges clinical and molecular profiling of GNAO1-related encephalopathies, exploring therapeutic interventions such as zinc-based treatments and personalized drug screening. She has also contributed to cancer research, investigating natural compounds (e.g., curcumin, cinnamon) and targeted therapies like Wnt pathway modulation. Her research integrates genetic analysis, pharmacology, and preclinical models to advance treatments for neurologic and oncologic conditions. Her studies emphasize phenotype-genotype correlations in genetic diseases and the development of high-throughput drug discovery pipelines. Key areas include pediatric encephalopathies, Parkinsonism-linked mutations, and novel anticancer strategies using engineered probiotics and boron-based therapies.

• Molecular Biology
• Neurology
• Drug Discovery
• +۴ مورد دیگر

Gabriel Neurohr serves as Assistant Professor in the Department of Biology at ETH Zurich, Switzerland, where he leads research on the physiological consequences of cell size dysregulation. His work bridges fundamental cell biology with implications for aging and cancer, investigating how deviations from species-specific cell size norms disrupt cellular homeostasis. Academic training includes a BSc in Biochemistry from ETH Zurich (2003-2006), PhD at Barcelona's Center for Genomic Regulation (2008-2012), and postdoctoral fellowship at MIT's Koch Institute (2013-2020). His research program addresses four core questions: (1) functional size limits of cells, (2) size-senescence relationships, (3) macromolecule-volume coordination, and (4) density-dependent functional impacts, employing genetic, live-imaging, and computational approaches in yeast and mammalian systems. Recent publications reveal a methodological evolution toward quantitative analysis, with machine-learning-enhanced imaging (2023) complementing mechanistic studies linking genome instability to size-induced senescence (2023). His 2024 work establishes cell enlargement as a primary driver of senescence through cytoplasmic dilution and organelle dysfunction, demonstrating conserved principles across eukaryotes. Major recognitions include: SNF Eccellenza Fellowship (2020-2025) EMBO Long Term Fellowship (2013-2014) ETH Medal for Master's excellence (2008) Neurohr's lab develops innovative tools like holotomography-based vacuole quantification while maintaining focus on fundamental size-regulation mechanisms. He teaches advanced courses on biomolecular condensates and cellular matter properties, mentoring through ETH's structured graduate programs. Current work explores therapeutic targeting of size-dependent senescence pathways in age-related diseases.

• Cell Size Regulation
• Cellular Senescence
• Aging Mechanisms
• +۳ مورد دیگر

Prof. Mehmet Fatih Yanik is a Full Professor at the Department of Information Technology and Electrical Engineering at ETH Zürich and Deputy Head of the Institute of Neuroinformatics. He leads the Yanik Lab, focusing on neurotechnology, neuroengineering, and high-throughput screening systems for drug discovery. His career includes tenured positions at MIT (2006-2014) and postdoctoral work at Stanford University. He holds a BS and MS from MIT (Electrical Engineering/Physics and Computer Science) and a PhD in Applied Physics from Stanford. Educations: BS in Electrical Engineering and Physics, MIT (1999) MS in Engineering and Computer Science, MIT (2000) PhD in Applied Physics, Stanford University (2006) Research Interests: Prof. Yanik’s work spans neurotechnology platforms for large-scale neural recording and stimulation, high-throughput in vivo screening systems for drug discovery, and advanced neuroimaging techniques. He pioneered ultra-flexible neural electrodes and non-invasive focused ultrasound neuromodulation. His lab integrates machine learning with neurotechnology to study brain circuit dynamics and anesthetic states. Awards: NIH Director’s Pioneer Award (youngest recipient) ERC Consolidator Award Bridge Discovery Award Technology Review’s 'Top 35 Innovators Under 35' Advising & Grants: His research is supported by NIH, ERC, NSF, and industry partnerships. He directs the NSC Master’s program and teaches courses like "Bioelectronics and Biosensors" . The Yanik Lab collaborates widely, advancing translational neurotechnology for clinical applications. Labs & Teams: The Yanik Lab at ETH Zürich develops cutting-edge tools for neuroscience, including neural interface technologies and AI-driven analysis pipelines for behavioral and neural data.

• Neurotechnology
• Neuroengineering
• High-Throughput Screening
• +۶ مورد دیگر

Daniel Croll is a Full Professor at the University of Neuchâtel, affiliated with the Faculty of Science and the Institute of Biology. His research focuses on evolutionary genetics, genomics, and bioinformatics, particularly in plant pathogens and fungal adaptation to environmental pressures. Key Research Areas: Evolutionary genetics, transposable elements, plant pathogen interactions, fungicide resistance, computational genomics, and microbial ecology. Daniel's recent work explores the role of transposable elements in fungal genome dynamics, the genetic basis of pathogen adaptation to hosts and climate, and the development of computational tools like LOCO for ancestry inference. His studies on Zymoseptoria tritici and other pathogens have uncovered mechanisms of resistance evolution and strain heterogeneity through genome-wide association studies (GWAS) and population genomics. His publications highlight trends in fungal pathogen evolution, including TE-driven mutations, low-coverage sequencing applications, and continent-scale resistance mapping. Collaborative projects span agricultural genomics, symbiosis, and functional validation of resistance genes like SdhC1 and β-tubulin. Notable Contributions: Development of microfluidics-based GMO detection assays, identification of TE-mediated resistance mechanisms, and creation of a fungicide resistance atlas.

• Evolutionary Genetics
• Genomics
• Plant Pathology
• +۴ مورد دیگر

Hanchen Wang is a Postdoctoral Research Fellow at Stanford AI Lab and Genentech, working under Jure Leskovec and Aviv Regev. He holds a PhD in Computer Science from Cambridge University completed in 3 years under Joan Lasenby, and a BS in Physics from Nanjing University where he was valedictorian. His research bridges artificial intelligence and biomedical discovery, with appointments spanning both academic and industry settings. Wang's research focuses on AI for Science , particularly developing autonomous agents for biomedical discovery. His work spans multi-omics analysis , spatial transcriptomics , live-cell imaging , and perturbation assays , with applications in cancer therapeutics , autoimmune diseases , and neurological disorders . He has pioneered multiple AI agent frameworks including Biomni (a general-purpose biomedical agent), SpatialAgent, and PerTurboAgent for specialized biological discovery tasks. His publication record demonstrates significant impact across both computer science and biology venues, with first-author papers in Nature , Nature Biotechnology , and NeurIPS . His research has been deployed by Anthropic, Amazon Web Services, and Genentech, and featured in Nature , The Economist , and DeepMind communications. Chan Zuckerberg Initiative Faculty Applicant Bootcamp participant UCSF Gladstone Institute Trainee-to-Tenure Track Program member OpenAI Researcher Access Program recipient Multiple conference travel awards Wang actively mentors early-career researchers including PhD students from institutions like CSHL, MIT, Harvard, and KAIST. He serves as Area Chair for ICLR 2026, organizes workshops on AI for Science at major conferences, and gives invited talks at leading institutions including Harvard, Yale, and the Broad Institute. His research is supported by Genentech internal funding ($500k/year) and OpenAI resources.

• Artificial Intelligence for Science
• Biomedical AI Agents
• Multi-omics Analysis
• +۷ مورد دیگر

Ljubisa Miskovic is a Senior Scientist at École Polytechnique Fédérale de Lausanne (EPFL), holding multiple positions including at the Laboratory of Computational Systems Biotechnology (LCSB) within the School of Basic Sciences (SB) and Institute of Chemical Sciences and Engineering (ISIC), as well as at the Swiss Center for Scientific Computing (SCGC) and the School Council SB. He earned his Ph.D. degree in Automatic Control from EPFL in 2006 under the co-supervision of Dominique Bonvin and Alireza Karimi. Following his doctoral studies, he pursued postdoctoral research at the Centre for Systems Engineering and Applied Mechanics at Universite Catholique de Louvain with Michel Gevers before returning to EPFL to work with Vassily Hatzimanikatis. Dr. Miskovic's research spans systems biology, metabolic engineering, synthetic biology, data-driven control design, system identification, stochastic processes, and estimation theory. His work focuses on developing computational approaches for metabolic network analysis, kinetic modeling of genome-scale metabolic networks, and applying machine learning techniques to metabolic engineering problems. His recent publications demonstrate increasing integration of generative AI methods with traditional metabolic modeling approaches. His publication trends over the last five years reveal a clear progression from traditional metabolic modeling to sophisticated machine learning-enhanced approaches, with particular emphasis on genome-scale kinetic modeling, strain optimization for biochemical production, and uncertainty quantification in biological systems. Much of his recent work centers on applications in S. cerevisiae and P. putida for producing valuable biochemicals including p-coumaric acid and muconic acid. Dr. Miskovic has advised several doctoral students including Toumpe Ilias, Andreozzi Stefano, Choudhury Subham, and Tokic Milenko. He teaches courses in numerical methods and chemical process control at EPFL, demonstrating his commitment to both research and education in systems biotechnology. As a member of the Laboratory of Computational Systems Biotechnology led by Professor Vassily Hatzimanikatis, Dr. Miskovic contributes to a multidisciplinary team that combines expertise in computational biology, systems engineering, and metabolic modeling to advance the field of systems biotechnology.

• Systems Biology
• Machine Learning
• Dynamical Systems
• +۴ مورد دیگر