جستجوی استاد راهنمای دانشگاهی

David Gfeller is an Associate Professor at the University of Lausanne (UNIL), affiliated with the Faculty of Biology and Medicine and the Department of Oncology, as well as the Ludwig Institute for Cancer Research, Lausanne Branch. He leads a research group at the intersection of computational biology and oncology. David Gfeller earned his PhD in theoretical physics from EPFL, supervised by Prof. Paolo De Los Rios, and completed postdoctoral training at the University of Toronto with Prof. Gary Bader and at the Swiss Institute of Bioinformatics (SIB) with EMBO support. He began his independent career at UNIL in 2014 as an assistant professor and was promoted to Associate Professor in 2019. His research focuses on computational approaches to cancer immunology, particularly in predicting immune recognition of tumors through peptide-MHC interactions and analyzing single-cell RNA sequencing data to decipher the tumor microenvironment. His group has developed AI-driven algorithms now used clinically for personalized cancer vaccine development. His publications span leading journals such as Nature Biotechnology , PNAS , eLife , and Genome Research . The work consistently emphasizes machine learning, data integration, and translational applications in immuno-oncology. EPFL Best Thesis Award EMBO Fellowship (2010) EMBO Fellowship (2013) David Gfeller is actively involved in teaching computational biology and developing open tools for the scientific community. His lab was recognized as a SIB Remarkable Output in 2023, highlighting its impact in bioinformatics.

• Computational Biology
• Bioinformatics
• Oncology
• +۷ مورد دیگر

Prof. Dr. Christiane Gertrud Zweier is a faculty member at the Bern Center for Precision Medicine (BCPM), University of Bern, Switzerland. She contributes to advancing research in precision medicine with a focus on genetic and molecular approaches to personalized healthcare. Her research interests lie primarily in the domains of medical genetics, genomics, and translational research, particularly in the context of rare diseases and molecular diagnostics. The work aligns with the mission of BCPM to integrate cutting-edge genomic technologies into clinical practice for improved patient outcomes. The trends in her research, inferred from institutional focus, emphasize precision diagnostics, data-driven medicine, and interdisciplinary collaboration between clinical and research teams. This reflects a strong orientation toward bioinformatics, systems biology, and functional genomics in a clinical setting. Email: christiane.zweier@insel.ch Phone: +41 31 632 94 94 There is no public information available about scientific awards, student mentorship, grants, or specific research teams led by Prof. Zweier in the provided text. However, her affiliation with BCPM suggests active participation in collaborative research projects within the precision medicine framework.

• Precision Medicine
• Medical Genetics
• Genomics
• +۴ مورد دیگر

Dr. Christian Panse is the Unit Head of Computational Mass Spectrometry at the Functional Genomics Center Zurich , ETH Zurich. His work spans bioinformatics, data processing, and visualization in proteomics, with a focus on method development and software engineering. Research Interests: Christian Panse specializes in proteomics and computational mass spectrometry , developing tools like prolfqua and rawrr for quantitative proteomics analysis. His research addresses standardization in proteomics core facilities and cross-resource data comparison. Recent work includes harmonizing quality controls across proteomics laboratories Creating user-friendly R packages for differential expression analysis Advancing fragmentation techniques for post-translational modification studies Publications Trends: His articles emphasize proteomics data reliability , software tools , and method validation in mass spectrometry. Collaborations with institutions like the Core for Life alliance highlight his role in community-driven standardization efforts.

• Computational Mass Spectrometry
• Proteomics
• Bioinformatics
• +۳ مورد دیگر

Bruno Correia is an Associate Professor at the Laboratory of Protein Design & Immunoengineering (LPDI) within the Institute of Bioengineering at École Polytechnique Fédérale de Lausanne (EPFL) , Switzerland. His work bridges computational protein design with experimental validation, focusing on immunoengineering applications for vaccines and cancer immunotherapy. PhD in Computational Biology (Universidade Nova de Lisboa, 2010) BSc in Chemistry (Universidade de Coimbra, 2004) Correia's research spans protein engineering , synthetic biology , and computational design , with key contributions in: Developing MaSIF for protein surface interaction analysis Designing chemically-controlled protein switches for CAR T-cell therapy Creating de novo functional proteins for vaccine development His publications highlight vaccinology , structural bioinformatics , and machine learning applications in protein science. Awards include the Protein Society Young Investigator Award (2021) and ERC Starting Grant (2016) . Scientific contributions: Protein surface fingerprinting for interaction prediction Rational immunogen design for HIV and hepatitis C Deep learning frameworks for protein structure generation

• Protein engineering
• Computational design
• Immunoengineering
• +۷ مورد دیگر

Sebastian Maerkl is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the Laboratory of Biological Network Characterization , part of the School of Engineering (STI) and the Institute of Bioengineering (IBI-STI). He holds a joint appointment in the EDBB-GE PhD Program Committee and leads the SEL-ENS teaching initiative. His academic journey began with dual B.Sc. degrees in Biology and Chemistry from Fairleigh-Dickinson University (2001) before earning a Ph.D. in Biochemistry and Molecular Biophysics from Caltech (2008). Prof. Maerkl's research lies at the intersection of microfluidics , cell-free synthetic biology , transcription factor biophysics , and molecular diagnostics . His lab has pioneered microfluidic platforms for high-throughput characterization of gene regulatory networks, protein-DNA interactions, and cellular processes. Recent work focuses on artificial cell systems using the PURE cell-free translation system, self-regenerating protein networks, and sustainable biomolecular material design via circular economy principles. His 15 most recent articles (2022-2025) reveal consistent innovation in microfluidic reactor design for cell-free systems, with 2025 studies on tRNA synthesis and protein-ligand deep learning tools. He has secured major funding including an ERC Consolidator Grant (2016) and multiple Swiss National Science Foundation grants, supporting work that has yielded over 50 peer-reviewed publications and 6 patents. Honors : 2005: Innovator’s Challenge – 1st Place (Caltech/Stanford/Berkeley) 2008: Demetriades-Tsafka-Kokalis Prize – Best Caltech PhD Thesis in Biotechnology 2012: Prix SSV – Ambition – EPFL Teaching Excellence Award 2016: ERC Consolidator Grant (€2M+) 2019: iGEM Grand Prize Winner (Overgrad Category) – First Swiss Team Victory As founder and advisor of the EPFL iGEM team (2008-2020), he mentored teams that won 8 Gold, 2 Silver, and 1 Bronze medals. His lab hosted international fellows including one Fulbright Scholar and two Whitaker Fellows, while developing microfluidic devices for applications ranging from cancer diagnostics to SARS-CoV-2 antibody detection.

• Microfluidics
• Cell-Free Synthetic Biology
• Transcription Factor Biophysics
• +۴ مورد دیگر

Santiago González F. is an Extraordinary Professor at the Università della Svizzera italiana (USI), affiliated with the Faculty of Biomedical Sciences and the Institute for Research in Biomedicine (IRB) in Bellinzona, Switzerland. He leads the Infection and Immunity research group, focusing on immune responses to infections and cancer. His work integrates molecular immunology, intravital imaging, and nanotechnology to understand immune cell dynamics in vivo. PhD in Microbiology, University of Santiago de Compostela, Spain PhD in Immunology, University of Copenhagen, Denmark Postdoctoral Fellow, Harvard Medical School, USA (2007–2011) His research centers on the mechanisms of antigen trafficking, dendritic cell function, and immune regulation during influenza infection and tumor metastasis. He has made seminal contributions to understanding how SIGN-R1 mediates influenza recognition and how subcapsular sinus macrophages promote melanoma spread. His lab employs cutting-edge intravital microscopy and develops tools like CANCOL for immune cell tracking. The recent publications highlight a strong trend in immune cell dynamics, inflammation modeling, and vaccine development. His work spans from fundamental immunology to translational applications, including mRNA nanovaccines and immunomodulatory drugs. There is a consistent focus on lymph node biology, innate immunity, and real-time imaging of immune responses. Marie Curie Training Site Fellowship (2004) Marie Curie International Outgoing Fellowship (2008) Marie Curie Career Integration Grant (2013) Recognition by Faculty of 1000 Santiago González has secured significant research funding through the European Union’s Marie Curie program and ERC grants, enabling the establishment and growth of his independent research group at IRB. He mentors a multidisciplinary team of scientists and students, contributing to PhD and postdoctoral training programs. His collaborations include partnerships with Rockefeller University and national biotechnology centers. He directs the Infection and Immunity laboratory at IRB, which specializes in intravital imaging, immune cell tracking, and vaccine development. The lab has developed innovative platforms such as stealth mRNA nanovaccines and computational tools for image analysis. The team actively engages in technology transfer and participates in European research networks.

• Immunology
• Infection and Immunity
• Antigen Trafficking
• +۱۲ مورد دیگر

Dr. Francesco Paolo Casale serves as Principal Investigator in Machine Learning in Biomedicine at the Helmholtz Munich Institute AI for Health, part of Helmholtz Zentrum München and affiliated with Ludwig-Maximilians-Universität München's Biomedical Center. His research develops machine learning and statistical tools to analyze genetic cohorts with deep molecular and phenotypic data, addressing fundamental biomedical questions about disease mechanisms and progression. His academic foundation includes: PhD in Statistical Genetics from University of Cambridge & EMBL-EBI (2012-2016) M.Sc. in Physics of Complex Systems from Università di Napoli Federico II (2009-2012) B.Sc. in Physics from Università di Napoli Federico II (2009) Casale's research integrates machine learning, statistical inference, and systems genetics to develop scalable tools for genetic association studies, deep learning models for imaging genetics, and computational methods examining gene-environment interactions. His work emphasizes model robustness and interpretability while investigating molecular and cellular traits associated with disease severity. Current projects focus on rare variant analysis, aberrant gene expression prediction, and longitudinal omics data integration. His publication record shows a clear progression from foundational statistical genetics methods toward increasingly sophisticated integration of machine learning with multi-omics data. Recent work emphasizes practical biomedical applications including disease risk prediction through Mendelian randomization frameworks, advanced single-cell analysis techniques, and histopathology image classification. The research demonstrates consistent methodology development focused on scalability for large datasets while maintaining biological interpretability. Key recognitions include: Highly Recognized article in PloS Genetics Research Prize (2018) Microsoft Research New England Postdoctoral Fellowship (2017) EMBL studentship (2012) Honors for MSc and BSc degrees from Università di Napoli Federico II Throughout his career at Microsoft Research, Insitro, and Helmholtz Munich, Casale has led research teams developing computational approaches at the intersection of human genetics and machine learning. His work contributes to landmark projects including the 1000 Genomes Project and Blueprint initiative, with conference presentations at major venues including NeurIPS, ASHG, and EASL. Current grant support likely stems from Helmholtz Association funding mechanisms and collaborative biomedical research programs. He directs the Systems Genetics and Machine Learning Research team at Helmholtz Munich, which operates within the Biomedical Center ecosystem of LMU Munich. The team focuses on leveraging large-scale genetic datasets with machine learning to understand disease biology, with particular emphasis on target identification and characterization for therapeutic development. Current research directions include multi-timepoint omics analysis, disease subtyping, and developing interpretable models for clinical translation.

• Machine Learning in Biomedicine
• Statistical Genetics
• Systems Genetics
• +۵ مورد دیگر

Selina-Lara Fricke is a Researcher at the Department of Biosystems Science and Engineering (BSSE) of ETH Zurich, based at the Basel campus within the Professorship for Computational Biology. Her office is located at Klingelbergstrasse 48 (BSS G 15.1), 4056 Basel, Switzerland, with contact details including work phone +41 61 387 34 52 and email selina.fricke@bsse.ethz.ch. Her research centers on computational biology and bioinformatics, applying advanced computational modeling to analyze complex biological systems. This work aligns with BSSE's interdisciplinary mission integrating engineering, computer science, and life sciences to address challenges in biosystems. Key focus areas include algorithm development for biological data analysis and mathematical modeling of cellular processes. As part of ETH Zurich's Computational Biology group, Dr. Fricke contributes to a collaborative research environment that bridges theoretical and applied biosciences. The team emphasizes translational approaches to convert computational insights into practical biological understanding, leveraging Basel's ecosystem of pharmaceutical and biotech partners for real-world impact.

• Computational Biology
• Bioinformatics
• Systems Biology

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.

• Virology
• Immunology
• Molecular Biology
• +۵ مورد دیگر

Professor Susan Mango is a leading researcher in developmental biology at the Biozentrum, University of Basel, where she serves as Professor of Cell and Developmental Biology since 2019. Her laboratory investigates fundamental questions about how complex organs develop from embryonic cells, with a focus on the nematode Caenorhabditis elegans as a model organism. She has made significant contributions to understanding transcriptional regulation, chromatin organization, and epigenetic inheritance during development. PhD, Princeton University (1984-1990) Undergraduate Researcher, MIT (1982-1983) Post-doctoral Fellow, University of Wisconsin (1990-1995) Professor Mango's research spans several interconnected areas of developmental biology. Her laboratory examines how chromosomes are organized in 3D within the cell nucleus and how this organization affects development, with particular focus on heterochromatin formation during embryogenesis. She has pioneered work on pioneer transcription factors, especially PHA-4/FoxA, which determines cell identity in the developing gut. Her research also investigates how environmental conditions experienced by parents can influence embryonic development in subsequent generations, exploring mechanisms of epigenetic inheritance. Her laboratory employs molecular genetics, live imaging, genomics, and innovative chromosome tracing techniques to address these fundamental questions. Professor Mango's publications reveal a consistent focus on nuclear architecture, transcriptional regulation, and developmental mechanisms using C. elegans . Her recent work has advanced chromosome tracing methodologies, explored translational control of mRNA localization, and investigated how neurons can modulate signaling to offspring. Her research shows a progression from foundational studies on organ development to more complex investigations of nuclear organization and transgenerational inheritance. Excellence in Teaching Award, University of Basel and Credit Suisse (2021) Elected to the European Molecular Biology Organization (EMBO) (2019) NIH NIGMS MERIT Award (2011-2020) MacArthur Foundation Fellowship (2009-2013) Harland Winfield Mossman Developmental Biologists' Award (2005) Professor Mango has led a productive research group investigating fundamental developmental processes for over two decades. Her laboratory has been supported by prestigious funding including the MacArthur Fellowship and NIH MERIT Award. She has mentored numerous students and postdoctoral researchers who have gone on to establish independent research careers. Her collaborative approach is evident in her extensive publication record spanning multiple disciplines within developmental biology. Professor Mango leads the Mango Research Group at the Biozentrum, University of Basel, where her team employs advanced imaging techniques including Chromosome Tracing and multiplex FISH to study nuclear organization during embryogenesis. Her laboratory investigates multiple projects simultaneously including Chromosomes in 3D, Epigenetic Inheritance, Pioneer transcription factors, and The Skin I Live in (focusing on epidermal development).

• Developmental Biology
• Embryogenesis
• Chromatin Organization
• +۵ مورد دیگر

Dario Diviani is an Associate Professor in the Department of Biomedical Sciences at the Faculty of Biology and Medicine, University of Lausanne (UNIL). He leads a research group focused on the molecular mechanisms underlying heart hypertrophy and failure, with a particular emphasis on AKAP proteins and G-protein-coupled receptors (GPCRs). He has been a faculty member at UNIL since 2003, progressing from assistant professor to associate professor in 2014, and served as head of the Department of Pharmacology and Toxicology (2018–2019) before becoming deputy director of the Department of Biomedical Sciences in 2020. Bachelor of Science in Biology, University of Lausanne (1989–1993) Ph.D. in Pharmacology and Toxicology, University of Lausanne (1998) Postdoctoral Fellowship, Vollum Institute, Portland, Oregon, USA (2001) His research investigates how AKAP proteins regulate protein kinase A (PKA) signaling and GPCR-induced pathways in cardiomyocytes, contributing to pathological changes in gene expression and cytoskeletal structure during cardiac stress. These studies are critical for understanding the molecular basis of heart disease and developing novel therapeutic strategies using small interfering molecules to modulate AKAP-Lbc signaling cascades. Dario Diviani has consistently secured funding from the Swiss National Science Foundation (SNSF), Novartis Foundation, and Emma Muschamp Foundation. His work has been published in leading journals such as EMBO Journal , PNAS , and Molecular and Cellular Biology , reflecting high scientific impact in the field of cardiac pathophysiology. He has received no explicitly mentioned scientific awards in the provided text. Dario Diviani is deeply committed to education, teaching pharmacology and toxicology to biology and medical biology students, developing a biostatistics and bioinformatics seminar, and instructing in cardiovascular pharmacology for medical students. He has supervised eleven doctoral students and holds leadership roles in the FBM Doctoral School Board, Cardiovascular Metabolism Program, Research Commission, and Faculty Council. He is also an active member of the Swiss Society of Pharmacology, American Society for Biochemistry and Molecular Biology, and the European Society of Cardiology. He leads the Dario Diviani Research Group at UNIL, which focuses on intracellular signaling in cardiac pathology, cytoskeletal dynamics, and translational applications in heart disease and cancer.

• Molecular Cardiology
• Cardiac Pathophysiology
• Signal Transduction
• +۱۱ مورد دیگر

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.

• Bayesian Deep Learning
• Diffusion Models
• Loss Landscape Analysis
• +۵ مورد دیگر

Prof. Felix Naef is a Full Professor at EPFL's School of Life Sciences (SV), leading the Laboratory of Computational and Systems Biology within the Institute of Bioengineering (IBI). His research focuses on quantitative systems biology, integrating theoretical, computational, and experimental approaches to study circadian rhythms, gene regulation, and cellular dynamics. He holds additional roles in teaching and administration, including membership in the Doctoral Program Committee for Computational and Quantitative Biology and the CDS Office. Education: PhD in Physics, EPFL (2000) Postdoctoral training at Rockefeller University (2000-2004) Research Interests: Circadian gene regulatory networks and liver chronobiology Single-cell analysis of transcriptional bursting and noise Systems biology of developmental patterning and metabolic pathways Integration of multi-omics data to model biological oscillators Key Contributions: Pioneered methods to infer circadian time from omics data Discovered space-time interactions in liver zonation and gene expression Advanced understanding of ribosome dynamics and translation elongation Awards: EMBO Member (2020) SNSF Sinergia Grant (2022) Advising & Grants: Supervised over 30 PhD students and postdocs Funded by SNSF, EU Horizon 2020, and industry collaborations Laboratory: The Naef Lab is part of EPFL's IBI, collaborating globally to address fundamental questions in systems biology and chronobiology.

• Circadian Rhythms
• Computational Biology
• Systems Biology
• +۶ مورد دیگر

May Elizabeth Sharpe is a Group Leader of the MX Samples group at the Paul Scherrer Institute (PSI), Switzerland. She leads efforts in macromolecular crystallography (MX) sample preparation, protein crystallization facility management, and high-throughput fragment screening. Her roles include overseeing the PSI Crystallisation Facility and the Fast Fragment and Compound Screening pipeline. She holds a B.Sc. (First Class Honours) in Biochemistry from the University of Sussex (2004) and a Ph.D. in Structural Biology from the University of Bristol (2008). Her research focuses on protein crystallization method development, fragment-based drug discovery, and advancing synchrotron/XFEL beamline technologies for structural biology. Key research contributions include optimizing crystal growth via microseed matrix screening, developing automated workflows for high-throughput crystallography, and analyzing SARS-CoV-2 protease inhibitors using X-ray crystallography. She has pioneered the HEIDI experiment-management system and SDU data collection software, enabling scalable drug screening. Her work bridges structural biology, automation, and translational drug discovery. Her publications reflect expertise in fragment screening, protein-ligand interactions, and structural analysis of medically relevant proteins. She has collaborated internationally, contributing to cancer drug target studies and antiviral research. No scientific awards are explicitly listed, though her impactful contributions suggest potential recognition in structural biology circles. May’s advisory and facility management roles ensure PSI remains a global leader in MX infrastructure. Her lab supports academic and industrial users via crystallization robotics and beamline optimization, advancing structural biology applications in drug development and fundamental research.

• Structural Biology
• X-ray Crystallography
• Protein Crystallization
• +۳ مورد دیگر

Caroline Maake is an Adjunct Professor at the Institute of Anatomy , University of Zurich, with a career spanning over three decades. She has been recognized as Teacher of the Year (2009, 2012), a Goldene Lehr-Lorbeere recipient (2019), and the CS Award for Best Teaching (2023). Education: MD in human medicine from Johannes Gutenberg University Mainz (1994) Research Interests: Focus on photodynamic therapy , nanomedicine , hyperthermia , and intercultural approaches in medicine . Her recent publications (2021-2025) demonstrate interdisciplinary work across pharmacology , oncology , ethnobotany , and medical engineering . Key trends include plant-based anti-inflammatory agents , photothermal cancer treatments , Indigenous Amazonian medicine , and innovative surgical devices . Notable collaborations with institutions like the University of Manitoba and University of Erlangen further highlight her international impact. Scientific Awards: Teacher of the Year (2009, 2012) Goldene Lehr-Lorbeere (2019) CS Award Best Teaching (2023) Active in both basic research and clinical translation , her work bridges biomedical engineering , traditional medicine , and modern cancer therapies . She has contributed to over 44 PubMed-indexed publications since 2002, covering topics from bladder pathophysiology to network pharmacology .

• Photodynamic Therapy
• Nanomedicine
• Hyperthermia
• +۷ مورد دیگر