جست‌وجوی استاد و پژوهشگر

• Muscle Metabolism
• Aging Research
• mTORC1 Signaling
• +۶ مورد دیگر

Dr. Stephanie de Alcantara Fernandes is a Minerva Fast Track Group Leader at the Max Planck Institute for Biology of Ageing in Cologne, Germany, where she leads research on muscle metabolism and aging. Her laboratory investigates how spatial and functional regulation of mTORC1 signaling influences skeletal muscle health, growth, and regeneration throughout the lifespan, with implications for understanding and promoting healthy aging. Dr. Fernandes completed her academic training through a distinguished path: PhD in Biology (Summa cum laude, with distinction), University of Cologne/Max Planck Institute for Biology of Ageing (2017-2023) Master of Science in Genetics, University of São Paulo (2015-2017) Bachelor of Science in Biological Sciences, University of São Paulo (2009-2014) Exchange year at University of Birmingham, UK (2013) Her research focuses on skeletal muscle biology, particularly the balance between anabolic and catabolic processes that maintain muscle health. Dr. Fernandes investigates how mTORC1 (mechanistic Target of Rapamycin Complex 1), a central signaling hub, is spatially organized within cells to selectively regulate specific cellular functions in response to different nutrient sources. Her work reveals that mTORC1 is not simply "on or off" but can be finely tuned to control distinct processes in different cellular compartments, particularly in skeletal muscle cells. A key aspect of her research examines how these regulatory mechanisms change with age, contributing to age-related muscle loss (sarcopenia). By understanding the molecular basis of muscle maintenance and regeneration, her laboratory aims to identify targets for interventions that could promote healthier aging and prevent age-related decline in muscle function. Analysis of Dr. Fernandes' publication record shows a clear trajectory of increasingly independent research focused on mTORC1 signaling, nutrient sensing, and their roles in aging and muscle biology. Her most recent work demonstrates sophisticated understanding of mTORC1's spatial regulation, revealing how different pools of mTORC1 respond to distinct amino acid sources to control specific cellular processes. This research bridges fundamental cell biology with translational applications for aging-related conditions. Dr. Fernandes has received numerous prestigious awards recognizing her scientific excellence: Minerva Fast Track Fellowship (2025) - Group Leader Position for Outstanding Female Scientists from Max Planck Society Graduate School for Biological Sciences (GSfBS) doctoral award for 2023 (2025) World Muscle Society Fellowship (2016) Cologne Graduate School of Ageing Research fellowship (2017-2020) Master's scholarship from São Paulo Research Foundation (2015-2017) Science Without Borders Scholarship from Brazilian Council for Scientific and Technological Development (2013) As a newly appointed Group Leader through the Minerva Fast Track program, Dr. Fernandes is establishing her independent research program with substantial institutional support. Her laboratory combines advanced techniques including high-throughput omics approaches (proteomics, metabolomics), molecular biology, biochemistry, cell biology, and super-resolution microscopy. She utilizes multiple model systems including mouse models, skeletal muscle cell lines, and iPSC-derived skeletal muscle cells to identify evolutionarily conserved mechanisms relevant to human health. Dr. Fernandes leads the Minerva Fast Track Group at the Max Planck Institute for Biology of Ageing, which focuses specifically on "Muscle metabolism and aging." Her team investigates how selective mTORC1 signaling is coordinated between different skeletal muscle cell types and how it changes with age, with the ultimate goal of understanding how muscle health can be maintained throughout life.

Ellen Robeyمشاهده پروفایل

استاد

• Immunology
• Molecular Biology
• Cell Biology
• +۳ مورد دیگر

Ellen Robey is a Professor of Immunology and Molecular Medicine at the University of California, Berkeley, serving as Division Head of the IMM Division. Her research focuses on signaling pathways controlling T cell fate decisions, using mouse models to study T cell development and immune responses, including mechanisms of thymic selection and CD4/CD8 lineage commitment. She employs 2-photon imaging to analyze T cell behavior in situ, particularly during parasitic infections like Toxoplasma gondii . Robey’s lab investigates how self-reactivity influences thymic selection timing and develops collaborative projects combining multi-omics approaches with spatial and temporal analyses of thymic development. Key research areas include understanding negative/positive selection mechanisms in the thymus, immune response dynamics during chronic infections, and the role of unconventional T cell subsets recognizing non-classical MHC molecules. The lab has pioneered studies on Qa1-restricted T cells and their role in host defense against pathogens. Her work bridges basic immunology with cutting-edge imaging and systems biology tools to unravel complex immune processes. Lab collaborations include projects with Nir Yosef and Aaron Streets to create high-resolution thymic developmental maps using single-cell multi-omics. Current efforts also explore how ERAAP downregulation alters antigen presentation, influencing T cell responses. The Robey Lab emphasizes diversity in its team, fostering an inclusive environment for scientific innovation.

Jean Fanمشاهده پروفایل

استادیار

• Single-cell omics
• Spatial omics
• Computational biology
• +۳ مورد دیگر

Jean Fan, PhD is an Assistant Professor of Biomedical Engineering at Johns Hopkins University, affiliated with the Center for Computational Biology and Institute for Computational Medicine. Her research focuses on developing machine learning methods to analyze spatially resolved and single-cell omics data. Her team, the JEFworks Lab, creates open-source tools for analyzing high-dimensional biological data to understand cellular identity, tissue organization, and disease progression. Dr. Fan's work bridges computational biology with clinical applications, particularly in leukemia and pediatric brain cancers. Education: BS in Biomedical Engineering & Applied Math from Johns Hopkins (2013); PhD in Bioinformatics from Harvard Medical School (2018); Postdoc in Chemical Biology/Physics at Harvard (2018–2020) under Xiaowei Zhuang, focusing on spatial transcriptomics. Research emphasizes spatial genomics and computational tool development, with key contributions to spatial alignment algorithms (STalign), normalization techniques, and cell-type deconvolution methods. Her lab's work has advanced understanding of kidney ischemic injury, glioblastoma spatial dynamics, and CLL pathogenesis. Awards include Forbes 30 Under 30, NSF CAREER Award, and 2025 PECASE. She founded CuSTEMized, a nonprofit providing STEM storybooks for girls. Recent collaborative projects include HuBMAP 3D reference atlas construction and Discovery Award-funded interdisciplinary initiatives. Labs/Teams: JEFworks Lab (primary); active collaborations with Dana-Farber Cancer Institute and Harvard Medical School. Current efforts focus on spatially resolved multi-omic integration and clinical translation of computational tools.

Michael Nothnagelمشاهده پروفایل

استاد

• Statistical Genetics
• Genetic Epidemiology
• Population Genetics
• +۵ مورد دیگر

Michael Nothnagel is a Professor at the University of Cologne, where he leads the Department of Statistical Genetics and Bioinformatics within the Cologne Center for Genomics (CCG). His work spans statistical genetics, genetic epidemiology, and forensic genetics, focusing on methodological development and large-scale genomic data analysis. His research interests encompass theoretical and applied statistical genetics, with emphasis on human genetic diversity, disease etiology, and forensic applications. Key areas include Y-chromosomal phylogeography, genome-wide association studies for complex diseases, development of statistical methods for variant interpretation, and forensic marker optimization. His group leverages next-generation sequencing data and specialized forensic markers to address questions in population history, disease mechanisms, and identification systems. Recent publications reveal a strong focus on computational approaches to genetic analysis, including spatial frequency interpolation for haplogroup mapping, polygenic risk score applications for behavioral traits, and advanced methods for variant classification. His work demonstrates consistent integration of statistical theory with practical applications in medical and forensic genetics, often through international collaborations like the VISAGE Consortium. Nothnagel maintains active involvement in the Cologne Center for Genomics, contributing to seminars and collaborative projects including the upcoming 34th International Genetic Epidemiology Society meeting. His research group operates at the intersection of computational biology and medicine, with particular strengths in handling complex genomic datasets and developing novel analytical frameworks for genetic epidemiology.

Iwijn De Vlaminckمشاهده پروفایل

دانشیار

• Precision Medicine
• Liquid Biopsies
• Spatial Profiling of Microbiomes
• +۷ مورد دیگر

Iwijn De Vlaminck is an Associate Professor in the Meinig School of Biomedical Engineering at Cornell University. His research focuses on developing precision medicine technologies, including liquid biopsies for diagnosing infectious and immune-related diseases, and spatial profiling of microbiomes and host-microbiome interactions. He leads the De Vlaminck Lab, which integrates engineering, biophysics, and computational biology to advance diagnostics and therapeutics. Key affiliations include the College of Engineering and interdisciplinary graduate fields such as Biomedical and Biological Sciences and Computational Biology. Education: B.S., Electronic Engineering, Katholieke Universiteit Leuven (2000) M.S., Electronic Engineering, K.U. Leuven (2003) Ph.D., Science and Engineering, K.U. Leuven (2008) Research Interests: His lab develops high-throughput technologies for studying diseases like organ transplant rejection, urinary tract infections, and viral myocarditis. Innovations include spatial transcriptomics and methods to map microbial communities in tissues. Recent work addresses biomarkers for MIS-C in children and applications of cell-free DNA in spaceflight studies. Awards: NIH New Innovator Award (2017) Elected Fellow of the American Institute for Medical and Biological Engineering (2025) Rainin Foundation Synergy Award (2019) Teaching Excellence Awards (2017, 2022) Grants & Collaborations: Recipient of a $3M NSF grant for bio-inspired architecture and a $9.5M NIH grant for chronic fatigue syndrome research. Collaborates with institutions like Weill Cornell Medicine and NASA on spaceflight biology and clinical diagnostics. Labs & Teams: Directs the De Vlaminck Lab, which includes interdisciplinary researchers working on spatial omics, liquid biopsies, and microbiome technologies. Engaged in industry partnerships, including co-founding Kanvas Biosciences.

• Biomedical Engineering
• Tissue Engineering
• 3D Printing
• +۵ مورد دیگر

Neil Lin is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Los Angeles (UCLA), with a joint appointment in Bioengineering. His research focuses on developing 3D-printed tissues that replicate the structure, mechanics, and functionality of human organs, with applications in drug screening and regenerative medicine. Lin leads the Lin Lab - Living Soft Material Engineering , advancing soft and living material engineering through interdisciplinary approaches. Lin holds a Ph.D. and M.S. in Engineering from Cornell University (2016 and 2013) and a B.S. in Engineering from National Tsing Hua University, Taiwan (2008). His work spans biomaterials mechanics, quantitative imaging, and AI-driven biological analysis. Research interests include the structure and dynamics of soft biomaterials, image-based force measurements, and quantitative imaging techniques for material characterization. Recent work explores cell morphology regulation, AI applications in microscopy, and mechanical heterogeneity in live tissues. Lin’s publications highlight advancements in cell trapping, AI-based image translation, and prostate cancer metabolism modeling. He has received prestigious awards, including the Young Investigator Award (2022), Hellman Fellowship, and NIH Maximizing Investigators' Research Award (2022). His lab integrates engineering and biology to address challenges in tissue engineering, with ongoing projects on 3D kidney models, drug response assays, and AI-driven phenotyping of senescent cells.

Eric F. Lockمشاهده پروفایل

دانشیار

• Statistical genomics
• High-dimensional data analysis
• Machine learning
• +۷ مورد دیگر

Eric F. Lock is an Associate Professor in the Division of Biostatistics & Health Data Science at the University of Minnesota's School of Public Health. He is also a Member of the Masonic Cancer Center (MCC) and has been at the University of Minnesota since 2014, after completing his PhD in Statistics from the University of North Carolina in 2012 and a postdoctoral fellowship in Statistical Genomics at Duke University in 2014. Lock's research focuses on developing methods for the analysis of multi-faceted high-dimensional data, particularly in "omics" fields such as genomics, metabolomics, and proteomics. His work emphasizes the integrated analysis of data from multiple sources (e.g., gene expression, metabolomics, imaging) or measured in multiple dimensions (e.g., multiple tissue types or body regions). He also specializes in exploratory factorization and clustering methods, and Bayesian nonparametric inference. His recent publications demonstrate significant contributions to tensor data imputation (BAMITA), matrix decomposition (EV-BIDIFAC), and methods for handling complex genomic data. His work bridges statistical theory with practical applications in molecular biology, addressing challenges in data integration across multiple biological measurement platforms. Delta Omega, Honorary Society in Public Health (2019) As an active researcher and educator, Lock serves on dissertation committees, including for Mykhaylo M. Malakhov who recently defended his PhD at the University of Minnesota School of Public Health. He is involved in organizing and participating in major conferences such as STATGEN 2025, demonstrating his leadership in the biostatistics community.

Sara Merino Aceitunoمشاهده پروفایل

استاد

• Kinetic Theory
• Partial Differential Equations
• Mathematical Biology
• +۵ مورد دیگر

Prof. Sara Merino Aceituno is a Professor at the Faculty of Mathematics, University of Vienna, leading research in kinetic theory and its applications to biology, medicine, and social sciences. She holds roles as Vice-Dean of the Faculty and Head of the Institute of Mathematics. Her work bridges mathematical models with experimental data, focusing on emergent phenomena in collective dynamics, opinion formation, and cell behavior. She teaches advanced courses on kinetic theory, biomathematics, and mathematical strategies for learning. Her contributions include modeling cell delamination, nematic alignment, and swarm dynamics through PDEs and probabilistic methods. Collaborations with experimentalists drive her interdisciplinary research. She actively engages in education, advising, and public outreach, including a video series explaining mathematical patterns in nature. Her research emphasizes understanding macroscopic patterns arising from microscopic interactions in complex systems. Education: Holds a PhD in Mathematics, with expertise in kinetic theory and applied partial differential equations. Teaching and leadership roles reflect her commitment to academic excellence and student support. Her work integrates experimental and computational models to study clonal dynamics in tissues and mechanical constraints in epithelial layers. She has authored over 20 papers on topics ranging from active matter to opinion formation networks, contributing to both theoretical advancements and practical applications in biology and social sciences. Research focuses on deriving hydrodynamic and continuum models from particle systems, analyzing stability and bifurcations in collective behavior. Grants and collaborations include the Vienna Biocenter PhD Program and experimental groups in cell biology. Her lab explores how environmental factors influence particle swarms and how mechanical forces shape cell cycles in pseudostratified epithelia.

• Environmental Health
• Epidemiology
• Climate Change Health Impacts
• +۴ مورد دیگر

Erika Garcia, PhD, MPH is an Assistant Professor in the Division of Environmental Health at the Department of Population and Public Health Sciences, Keck School of Medicine of USC. Her work focuses on understanding how ambient environmental exposures influence human disease development, particularly through advanced causal inference methods. Key research areas include early-life air pollution effects on pediatric health (asthma, lung function, metabolic outcomes) and climate-driven exposures like extreme heat. Education: PhD in Environmental Health Sciences, UC Berkeley MPH in Environmental Health Sciences, UC Berkeley Research Interests: Climate change health impacts: heat waves, air pollution, and associated mortality/morbidity Environmental justice: disparities in pollution exposure and health outcomes Exposure mixtures: synergistic effects of chemical pollutants Epigenetic biomarkers of environmental exposures Recent Article Trends: Focus on methodological innovations in exposure assessment, policy-driven intervention modeling, and translational research linking environmental exposures to chronic disease pathways. Recent work emphasizes population-level vulnerability analysis and actionable solutions for disadvantaged communities. Advising/Grants: Active in mentoring interdisciplinary teams but specific grant details not highlighted in current text.

Hattie Chungمشاهده پروفایل

استادیار

• Systems Biology
• Computational Biology
• Single-Cell Genomics
• +۴ مورد دیگر

Hattie Chung is an Assistant Professor of Medicine and Molecular, Cellular and Developmental Biology at Yale University, affiliated with the Cardiovascular Research Center. She holds appointments in multiple departments including Internal Medicine, Molecular Cell Biology, and the Yale Center for Research on Aging. Her research focuses on cellular heterogeneity and tissue organization using cutting-edge single-cell and spatial genomics technologies, addressing ovarian aging, cardiovascular disease, and drug perturbation modeling. Education: PhD in Systems Biology (Harvard University, 2016); BS in Biological Engineering (MIT, 2011). Postdoctoral training at the Broad Institute of MIT/Harvard. She leads an interdisciplinary team developing novel computational and experimental methods for genomic analysis. Research Interests: Systems biology approaches to cellular organization, single-cell genomics, spatial transcriptomics, translational medicine for cardiovascular diseases, and aging mechanisms. Her lab integrates computational models with experimental data to predict therapeutic responses and study disease mechanisms. Lab affiliations include the Yale Cardiovascular Research Center (YCVRC), Yale Center for Research on Aging (Y-Age), and the Program in Physical and Engineering Biology. Teaching includes MCDB 370: Biotechnology.

Anna Bendratمشاهده پروفایل

استادیار

• Rhetoric
• Social Communication
• Identity Studies
• +۶ مورد دیگر

Dr. Anna Bendrat is an Assistant Professor at the Department of English and American Studies, Maria Curie-Skłodowska University, Poland. A scholar in Rhetoric, American Drama, and Cognitive Poetics, she is actively involved in interdisciplinary research, particularly through the Cognitive Studies Team and the International Federation for Theatre Research (IFTR). Her research interests span Rhetoric, Social Communication, Identity Studies, New Media, and Affect Studies. She has led the EU Erasmus+ project MigraMedia (2023–2026) and co-founded the journal New Horizons in English Studies . Her work bridges academic rigor with public engagement, including organizing the Media in America, America in Media conference series. Anna’s recent publications interrogate urban trauma in Pulitzer-winning drama, AI’s role in reconstructing memory, and cognitive texture in multi-perspective narratives. Her scholarly activities are enriched by editorial roles in Res Rhetorica and New Horizons in English Studies , alongside grants for research in New York and Poland. She mentors the UMCS Philology Student Circle, promoting anglophone cultures, and maintains a focus on Polish-American academic collaborations. Her research team explores digital rhetoric, migration narratives, and the intersection of literature with cognitive theory.

Jure Leskovecمشاهده پروفایل

استاد

• Machine Learning
• Social Networks
• Data Mining
• +۴ مورد دیگر

Jure Leskovec is a Professor of Computer Science at Stanford University, affiliated with the Stanford AI Lab, Machine Learning Group, and the Center for Research on Foundation Models. He holds academic appointments in the Department of Computer Science and is a member of Bio-X, the Institute for Human-Centered Artificial Intelligence (HAI), and the Wu Tsai Neurosciences Institute. Leskovec earned his BSc from the University of Ljubljana (2004), PhD from Carnegie Mellon University (2008), and postdoctoral training at Cornell University. His research focuses on social networks, data mining, machine learning, and computational biomedicine, with contributions to graph neural networks, drug discovery, and AI applications in healthcare. His work has been applied to combat the COVID-19 pandemic and integrated into products at major tech companies. Leskovec’s publications reflect his expertise in network analysis, medical AI, and biological systems. His recent work includes foundational contributions to graph neural networks (e.g., PyG) and medical AI frameworks. His research has garnered numerous awards, including the Microsoft Research Faculty Fellowship and ICDM Research Contributions Award. Leskovec advises numerous doctoral and postdoctoral researchers, contributing to over 200 publications. His interdisciplinary collaborations span computational biology, healthcare analytics, and social systems, with a focus on leveraging AI to address real-world challenges.

E. Thomas (Tommy) Pashuckمشاهده پروفایل

استادیار

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +۶ مورد دیگر

E. Thomas (Tommy) Pashuck is an Assistant Professor in the Department of Bioengineering at Lehigh University , where he joined after postdoctoral training at Rutgers University and Imperial College London . His research focuses on designing enzyme-responsive biomaterials using peptide self-assembly to control hydrogel chemistry and nanoscale organization , aiming to improve regenerative medicine applications. Education: Ph.D. in Materials Science from Northwestern University (2009) Pashuck's work explores biomaterials that direct cell behavior through precise spatial and mechanical cues . Recent publications highlight advancements in high-throughput peptide screening , 4D bioprinting , and protease-activated hydrogels , demonstrating his expertise in dynamic biomaterial design and cell-matrix interactions . His research group investigates cell adhesion optimization via ligand mobility control , enzyme-mimicking nanomaterials , and sequence-controlled polymerization while maintaining clinical translation goals. Publications from 2021-2025 emphasize hydrogel mechanics , biodegradable scaffolds , and supramolecular catalytic systems , spanning biomaterial engineering , peptide nanotechnology , and regenerative medicine .

• Tumor Microenvironment
• Extracellular Vesicles
• Exosomes
• +۵ مورد دیگر

Nao Nishida serves as Assistant Professor at Waseda University's Institute for Advanced Study since 2022, following appointments at Tokyo Medical University and Fred Hutchinson Cancer Center. Her research bridges cancer biology and cell-cell communication mechanisms within tumor microenvironments. Her educational background includes: PhD in Agriculture (2014) from Kyoto University Master's in Applied Life Sciences (2011) from Kyoto University Bachelor's in Applied Life Sciences (2009) from Kyoto University Nishida's research centers on extracellular vesicle-mediated tumor-stroma crosstalk, with particular focus on exosome-driven metastasis, tumor-associated macrophage reprogramming, and organotypic culture modeling. She investigates how lipid composition and serine metabolism in cancer-derived EVs regulate microenvironmental remodeling and therapeutic resistance. Her work integrates advanced lipidomics, real-time tissue imaging, and spatial EV distribution analysis to uncover metastatic mechanisms. Analysis of her 17 publications reveals dominant themes in exosome biology (71% of works), cancer microenvironment dynamics (63%), and therapeutic targeting strategies (41%). Recent work increasingly incorporates spatial tissue context (2022-2024) and clinical translation potential. Her awards include: ISEV2025 New Parents Scholarship Japan Society for Promotion of Science Outstanding Researcher Candidate (2021) ISEV2017 Junior Member Scholarship Young Researcher Excellent Presentation Award (2015) Nishida directs multiple active grants including JSPS KAKENHI projects on EV secretion mechanisms (2023-2026) and nutritional stress adaptation (2025-2028), plus Mitsubishi Foundation and Uehara Memorial Foundation awards. She mentors through Waseda's bioscience curriculum while developing organotypic slice platforms for drug screening. Her laboratory utilizes advanced tumor slice culture systems and spatial EV mapping techniques to dissect microenvironmental heterogeneity, with current work focusing on stromal contribution to therapeutic resistance and organ-specific metastatic niches.

Guo-Cheng Yuanمشاهده پروفایل

استاد

• Genomics
• Epigenetics
• Gene Expression
• +۴ مورد دیگر

Guo-Cheng Yuan is a Senior Faculty member in the Department of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai. His research focuses on genomics, epigenetics, and computational biology , with particular emphasis on single-cell analysis, chromatin regulation, and cancer immunology. Institution: Icahn School of Medicine at Mount Sinai School: Graduate School of Biomedical Sciences Department: Genetics and Genomic Sciences Research Interests Dr. Yuan's work spans multiple domains including: Single-cell RNA sequencing applications in brain development and cancer Chromatin structure analysis in differentiation processes Spatial transcriptomics for tissue microenvironment characterization Computational methods for multiomic data integration Enhancer-promoter interaction dynamics Development of robust bioinformatics pipelines Scientific Trends Analysis His recent publications (2021-2025) demonstrate a focus on single-cell and spatial omics methodologies applied to diverse biological contexts ranging from cancer immunology to neurodevelopment . Notable trends include: Development of trajectory analysis algorithms Multiomic integration for regulatory network mapping Epigenetic mechanisms in cell differentiation Computational approaches for data robustness Three-dimensional genome organization studies Applications in both developmental biology and oncology