جست‌وجوی استاد و پژوهشگر

Jody L. Baronمشاهده پروفایل

پژوهشگر ارشد

• Immunobiology
• Infectious Diseases
• Hepatology
• +۳ مورد دیگر

Jody L. Baron is a Research Fellow at the University of California, San Francisco (UCSF), affiliated with the Department of Microbiology & Immunology within the School of Medicine. His career spans clinical training in Internal Medicine and Infectious Diseases at Stanford University and UCSF, respectively, alongside prestigious postdoctoral fellowships including the Howard Hughes Postdoctoral Fellowship and the Burroughs Wellcome Fund Investigator award. His research integrates structural biology, immunology, and liver disease investigations. Education: BA in Biology & Philosophy (Rice University, 1986), MD (Yale, 1993), PhD in Immunobiology (Yale, 1994) Clinical Training: Residency in Internal Medicine (Stanford, 1993-95), Clinical Fellow in Infectious Diseases (UCSF, 1995-96) Baron's research focuses on TGF-β signaling mechanisms, integrin-mediated immune regulation, and immune responses to hepatitis viruses (B and C). His work on αvβ8 integrin's role in tumor immune evasion and liver disease highlights intersections between structural biology and immunopathology. Publications span high-impact journals like Cell, Science Immunology, and JCI Insight, emphasizing liver cancer, infectious disease, and signal transduction. Recent studies highlight dynamic allostery in TGF-β activation, liver stem cell perturbation by HCV, and integrin structure analysis. These align with fields such as molecular biology, virology, and cancer biology, with subfields including immune checkpoint regulation, organoid modeling, and protein conformational dynamics. Key Awards: Westinghouse Science Talent Search (1982), NIH Fellowships, Burroughs Wellcome Career Award (2002), Cancer Research Institute Investigator award (2006-2011), HHMI/BWF Leadership Coaching Award (2002) Grants: UCSF Liver Center pilot grant, Pfizer Postdoctoral Fellowship in Infectious Diseases Baron collaborates extensively within UCSF and beyond, contributing to projects on fibroinflammatory airway disease, immune priming in the liver capsule, and T-cell dynamics. His work bridges basic science and translational research, particularly in hepatitis and liver cancer contexts.

Charles A. DiMarzioمشاهده پروفایل

دانشیار

• Optics
• Microscopy
• Coherent Detection
• +۱۰ مورد دیگر

Charles A. DiMarzio is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University , with affiliations in Mechanical and Industrial Engineering and Bioengineering. His research spans advanced optical imaging techniques for biomedical applications. Education: PhD in Electrical and Computer Engineering, Northeastern University (1996) MS in Physics, WPI BS in Engineering Physics, University of Maine Research interests focus on optics , microscopy , coherent detection , hyperspectral imaging , and collagen studies . His group develops hardware and computational methods for multi-modal biomedical imaging , including the Keck 3-D Fusion Microscope . Recent publications highlight innovations in: Collagen monomer orientation measurement Super-resolution structured illumination Ultrasound-modulated light imaging Coded-illumination Fourier ptychography Awards include: SPIE Fellow (2022) SPIE Senior Member (2021) Optica Senior Member (2021) He supervises capstone design projects and teaches graduate courses in Optics for Engineers and undergraduate classes in Circuits and Signals , Electronics , and Subsurface Sensing . Collaborations include the Gordon Center for Subsurface Sensing , ALERT , and institutions like Memorial Sloan Kettering Cancer Center.

Chixiang Chenمشاهده پروفایل

دانشیار

• Biostatistics
• Public Health
• Neuroscience
• +۸ مورد دیگر

Chixiang Chen is an Associate Professor in Biostatistics at the Department of Epidemiology & Public Health, University of Maryland School of Medicine, with joint appointments in the Department of Neurosurgery and the University of Maryland Institute for Health Computing. He is a NIH-funded principal investigator whose research spans theoretical and applied statistics, focusing on causal inference, data integration, machine learning, and single-cell analysis for aging, Alzheimer’s disease, and clinical trial design. Education: PhD in Biostatistics (2020), Pennsylvania State University Postdoctoral Researcher (2021), University of Pennsylvania Research Interests: Developing robust statistical frameworks for real-world data integration (e.g., Medicare claims, UK Biobank). Innovative causal inference methods for observational studies and clinical trials. Single-cell RNA-seq and bulk data deconvolution for aging and disease studies. Machine learning in multi-modal biomedical data and federated learning. Grants: NIH/NIA R01 (2024-2029) for post-fracture recovery analysis. Johns Hopkins ICTR grant (2024-2025) for Alzheimer’s disease risk factors. OAIC CC Flexible Early Career Faculty Award (2023-2024). NIH R01 collaborations in aging, neuroscience, and surgery. Scientific Awards: 2024: Honorable Mention (ICSA), Early Career (ACTStat), Pepper Pilot Grant. 2023: RCCN Travel Award, OAIC CC Flexible Early Career Faculty Award. 2021: Dean’s Scholarly Achievement (Penn State). 2019: Alumni Society Award (Penn State), JSM Student Paper Award. Labs & Collaborations: Director of the SILVER Lab (Statistical Information Integration and Learning for Health Data). Collaborations in gerontology, cardiology, neuroscience, and oncology. Developed R packages: DRDNet, InteRD, MultiRD, ELCIC, eMultiMR.

• Muscle thermodynamics
• Bioengineered muscle systems
• Molecular mechanisms of muscle contraction
• +۳ مورد دیگر

Josh Baker is a Professor and Associate Vice President for Research at the University of Nevada, Reno, affiliated with the University of Nevada School of Medicine's Department of Pharmacology. His research focuses on the thermodynamics of muscle contraction, quantum heat engines, and entropic stability of biological systems. Ph.D. in Biochemistry, Biophysics, and Molecular Biology (University of Minnesota, 1999) B.S. in Physics (Hamline University, 1987) Research interests span muscle thermodynamics, mechanochemical coupling, and multiscale modeling of biological systems. His work explores the intersection of physics and biology to understand fundamental cellular processes. Current research trends examine quantum thermodynamics in muscle systems, entropic forces in cellular stability, and multiscale modeling approaches. Publications analyze phenomena from single molecule dynamics to whole-cell behaviors. Notable roles include Director of NIH NV INBRE since 2016 and leadership in research innovation at the University of Nevada. His work bridges experimental and theoretical approaches in biophysics.

Valdemaras Petrosiusمشاهده پروفایل

استادیار

• Proteomics
• Mass Spectrometry
• Protease
• +۴ مورد دیگر

Valdemaras Petrosius is an Assistant Professor at the Department of Biotechnology and Biomedicine, Technical University of Denmark, working with the Cell Diversity Lab. His research focuses on proteomics, mass spectrometry, and cellular heterogeneity, contributing to fields like synthetic lethal interactions and clinical proteomics. UN Sustainable Development Goals (SDGs) 100% related to his work (based on institutional tags). Active collaborations with researchers at DTU and international institutions in proteomics and biomedical studies. Research Interests : Valdemaras Petrosius specializes in proteomics , mass spectrometry , and single-cell analysis . His work includes optimizing LC-MS techniques for clinical applications, studying protease activity, and resolving cellular complexity through sensitivity-tailored data-independent acquisition. Recent projects focus on drug dose responses, stem cell cultures, and disease-specific proteomic signatures. Publication Trends : His research outputs emphasize proteomics (100%), mass spectrometry (100%), and biomedical applications (e.g., chronic urticaria, synthetic lethal interactions). Key sub-fields include single-cell proteomics, bottom-up proteomics, and plasma analysis. Lab & Team : He is affiliated with the Cell Diversity Lab at DTU, which investigates cellular heterogeneity and proteomic dynamics using cutting-edge MS technologies.

Anita Grigoriadisمشاهده پروفایل

استاد

• Triple-Negative Breast Cancer
• Genomic Instability
• Tumor Immunology
• +۶ مورد دیگر

Anita Grigoriadis is a Professor of Molecular and Digital Pathology affiliated with a Comprehensive Cancer Centre, where she leads the Cancer Bioinformatics group. Her research focuses on computational approaches to triple-negative breast cancer (TNBC), genomic instability, and tumor-immune interactions. She collaborates extensively with clinical partners like Professor Andrew Tutt and utilizes high-throughput data to develop biomarkers and therapeutic strategies. Education: Master of Science in Bioinformatics with Systems Biology, UCL University College London (2008) Doctor of Philosophy, University of Salzburg (1997) Master of Natural Science, University of Vienna (1993) Research Focus: Her group investigates TNBC biology through genomic/transcriptomic analysis, machine learning-based histopathology, and immune microenvironment dynamics. Key areas include lymph node alterations in metastasis prediction, drug sensitivity algorithms, and microbial community influences on cancer progression. Research integrates bulk/single-cell transcriptomics, genomics, and multiplexed imaging. Publication Trends: Recent works emphasize tumor microenvironment plasticity, stromal composition in breast cancer prognosis, immune dysregulation in melanoma, and computational pathology innovations. Studies frequently employ multi-omics integration and AI-driven digital pathology. Projects & Leadership: She leads/co-leads 41 projects, including: Wellcome Trust-funded multimodal tissue imaging (2024–2026) CRUK spatial proteogenomics platform for breast cancer detection (2024–2025) EPSRC AI Hub for healthcare causality (2024–2029) She directs PhD training and peer-reviews for journals like Cell Reports Medicine .

Viviane S. Tabarمشاهده پروفایل

استاد

• Neurological Surgery
• Glioblastoma
• Brain Metastases
• +۴ مورد دیگر

Dr. Viviane S. Tabar is a Professor of Neurological Surgery at Weill Cornell Medical College since 2014. Her work bridges neurosurgical practice with translational stem cell research , focusing on brain tumors and neural repair. Education: M.D., American University of Beirut Faculty of Medicine (1989) B.S., American University of Beirut (1985) Key research areas include glioblastoma biology , brain metastases , and human pluripotent stem cell applications in neurological disorders. Her recent work explores tumor heterogeneity, cancer stem cell dynamics, and AI-driven intraoperative diagnostics. Publications since 2018 demonstrate expertise in single-cell analysis , neurovascular mapping , and molecular profiling of brain tumors . Despite extensive clinical focus on pituitary adenomas and skull base surgeries, no explicit scientific awards or student mentorship records are mentioned in available data.

Lana Garmireمشاهده پروفایل

دانشیار

• Single-cell sequencing
• Bioinformatics
• Translational bioinformatics
• +۵ مورد دیگر

Lana Garmire, PhD is an Associate Professor with tenure in both the Department of Computational Medicine and Bioinformatics and the Department of Biostatistics at the University of Michigan School of Public Health. She leads the Garmire Group in Translational and Clinical Informatics, a multidisciplinary team focused on advancing bioinformatics methodologies for clinical applications. Dr. Garmire has established herself as a nationally and internationally recognized expert in translational bioinformatics, with particular expertise in single-cell sequencing technologies and integrative omics analysis. Dr. Garmire received her MA in Statistics (2005) and PhD in Computational Biology (2007) from UC Berkeley, followed by postdoctoral training at UC-San Diego (2008-2011). She began her academic career at the University of Hawaii Cancer Center in 2012, where she rapidly achieved tenure and was promoted to Associate Professor in 2017. In 2018, she moved to the University of Michigan to expand her research into multi-modal approaches combining genomics, electronic medical records, and pathological imaging analysis. Her research focuses on single-cell and spatial transcriptomics , integrative analysis of EMR/imaging/omics/clinic data , translational bioinformatics of cancers , prognosis and diagnosis prediction , actionable computational models , drug repositioning/repurposing , and women's and neonatal health research . Dr. Garmire's work bridges computational approaches with clinical applications, particularly in cancer and pregnancy-related conditions. An analysis of her recent publications reveals a strong emphasis on deep learning applications in single-cell data analysis , with multiple papers on imputation methods, survival prediction models, and tools for clinical translation. Her research has evolved from foundational bioinformatics methods to increasingly clinically focused applications, particularly in women's health and cancer therapeutics. The trend shows growing integration of multiple data types (multi-omics) and development of user-friendly tools for broader scientific adoption. Dr. Garmire has received numerous prestigious honors including the US Presidential Early Career Scientist and Engineer (PECASE) award in 2019 , the highest honor for early-career scientists in the United States, and election as a fellow of the American Institute of Medical and Biological Engineering (AIMBE) in 2022 . Her group has consistently produced high-impact publications in top journals including Nature, Cell, Genome Biology, and Nature Communications. As a dedicated mentor, Dr. Garmire has trained over 90 researchers including Assistant Professors, MD fellows, postdocs, graduate students, and undergraduates from diverse academic backgrounds. She has successfully secured substantial funding through multiple concurrent NIH R01 grants from NICHD, NLM, and other institutes, as well as a recent R03 grant from the NIH Office of the Director on personalized cancer drug repurposing (July 2025). Her group currently operates a 10x Genomics Chromium system for single-cell RNA and DNA sequencing, supporting both internal research and external collaborations. The Garmire Group maintains an active research program with lab members engaging in diverse projects spanning computational methodology development, cancer research, women's health, and tool building. The group culture emphasizes inclusivity and diversity, with active participation in university-wide initiatives supporting women in STEM and underrepresented groups in science.

John D. Fryerمشاهده پروفایل

استاد

• Neuroscience
• Alzheimer's Disease
• Neuroinflammation
• +۷ مورد دیگر

Dr. John D. Fryer is a Professor and the inaugural Director of the Center for Accelerated Nanotherapeutics at the Translational Genomics Research Institute (TGen) within the Bioinnovation and Genome Sciences Division. His research focuses on translational neuroscience with emphasis on Alzheimer's disease and related dementias, neuroinflammation mechanisms, and development of novel biologics including nanobodies and picobodies. Dr. Fryer's laboratory pursues NIH-funded research at the intersection of genetics, aging, and neuroinflammation. His work spans multiple critical areas of neuroscience including: Alzheimer's disease and related dementias, particularly the inflammatory aspects of neurodegeneration Nanobody and picobody development for therapeutic targeting of disease-critical proteins Sepsis and acute inflammation and their impact on brain function in aged individuals Psilocybin and mood disorders, studying differential brain responses to micro- versus macro-dosing Brain tumor interactions with the immune system and neurons, including the intriguing inverse relationship between Alzheimer's disease and brain tumor susceptibility Analysis of Dr. Fryer's publication record reveals a strong focus on APOE variants, microglial responses in neurodegeneration, and innovative biologics development. His research increasingly integrates multi-omic approaches including single-cell RNA sequencing and spatial transcriptomics to uncover novel therapeutic targets. His lab has developed searchable databases like www.fryerlab.com/ribotag and https://fryerlab.shinyapps.io/LBD_CWOW/ to share research data with the scientific community. Dr. Fryer has published extensively in high-impact journals including Nature Immunology, Nature Neuroscience, Science Translational Medicine, Science, and Neuron. His recent work on nanobody development for targeting Alzheimer's pathology represents a promising translational approach with potential clinical applications. His laboratory maintains active collaborations, as evidenced by the extensive co-author networks in his publications, and continues to secure NIH funding for innovative neuroscience research addressing critical challenges in neurodegenerative disease, brain inflammation, and novel therapeutic development.

Sophia Tsokaمشاهده پروفایل

دانشیار

• Computational genome analysis
• Genome data mining
• Network analysis and reconstruction
• +۷ مورد دیگر

Sophia Tsoka is a Reader in Bioinformatics at King's College London specializing in computational genome analysis, network reconstruction, and machine learning applications in cancer immunology and microbiome research. She leads the 'Algorithms for Antibodies' project funded by the Royal Society and serves as Co-Investigator on multiple research projects including 'Understanding the significance of patient B cells and expressed antibodies in melanoma' supported by the British Skin Foundation. Dr. Tsoka's research focuses on computational genome analysis, genome data mining, network analysis and reconstruction, metabolic networks, protein interaction networks, and the evolution of genome properties and dynamics. Her work bridges bioinformatics, machine learning, and immunology, with particular emphasis on applying computational approaches to understand antibody mechanisms, tumor microenvironments, and microbiome dynamics. She has developed innovative algorithms for network analysis, classification, and multi-omics data integration that have advanced our understanding of complex biological systems. Her recent publications demonstrate a strong trajectory in applying computational methods to cancer immunology, with multiple high-impact papers in 2025 spanning IgE antibody therapeutics, tumor microenvironment analysis, and machine learning approaches for biomedical data. These works reveal a consistent focus on developing interpretable computational models that can translate complex biological data into clinically relevant insights. Best paper award (2022) Best Paper Award (2020) Dr. Tsoka supervises numerous research projects and has secured significant grant funding from prestigious organizations including the Royal Society and British Skin Foundation. Her collaborative work spans multiple disciplines, connecting computational scientists with immunologists and clinicians to advance cancer therapeutics. She has established herself as a key contributor to the field of computational immunology with over 4,800 citations to her work. Her laboratory focuses on developing and applying advanced computational methods for analyzing complex biological networks, with particular emphasis on cancer immunology applications. The team combines expertise in algorithm development, machine learning, and biological data analysis to address challenging problems in antibody engineering and tumor microenvironment characterization.

Alisa Yurovskyمشاهده پروفایل

مدرس

• Computational Biology
• Computer Science
• Genetics
• +۵ مورد دیگر

Alisa Yurovsky is a Lecturer and IDEA Fellow at the Department of Biomedical Informatics at Stony Brook University. Her research focuses on computational biology at the intersection of computer science, genetics, and statistics to advance precision medicine. She earned her PhD in Computer Science from Stony Brook University under Steven Skiena, an M.S. in Computational Biology from EPFL under Bernard Moret, and a B.S. in Computer Science with a Mathematics minor from Carnegie Mellon University. Research Interests: Alisa develops computational algorithms for precision medicine applications, particularly addressing racial disparities in health data. Her current projects include compartment deconvolution in mixed tissue samples, spatial transcriptomics analysis, small-size differential expression studies, and machine learning in biomedical informatics. Publications Trends: Her recent work spans spatial transcriptomics, survival analysis, and machine learning applications in genomics. She has contributed to algorithms for cell-cycle phase detection, ribosomal frameshift identification, and non-negative matrix factorization. Scientific Awards: 2023 IDEA Fellowship 2020 NSF/CRA/CCC Computing Innovation Postdoctoral Fellow 2017 CEWIT Best Poster Award 2016 NSF Graduate Research Fellowship 2010 Prix Annaheim-Mattille for Master’s Thesis 2007 Cadence Design Systems Award Advising and Grants: She mentors undergraduate and high school students through Stony Brook’s VIP Webgen team and Simons Summer Research Program. Her research has received support from NSF and institutional grants.

Ariel Greinerمشاهده پروفایل

پژوهشگر ارشد

• Coral Reef Ecology
• Conservation Biology
• Mathematical Ecology
• +۴ مورد دیگر

Dr. Ariel Greiner is an NSERC Postdoctoral Fellow in the Department of Biology at the University of Oxford and Pennsylvania State University, supervised by Dr. Katrina Davis and Dr. Katriona Shea. Her interdisciplinary research applies mathematical and statistical modeling to conservation challenges, with current focus on optimizing coral reef management in Melanesia through value-of-information frameworks and socioeconomic integration. Her academic foundation includes: PhD in Ecology and Evolutionary Biology from the University of Toronto (supervised by Dr. Martin Krkošek, Dr. Marie-Josêe Fortin, and Dr. Emily Darling) Bachelor of Science from McGill University (research with Dr. Andrew Gonzalez on ecosystem functioning debts and global genetic diversity patterns) Dr. Greiner's research centers on coral reef resilience under anthropogenic pressures, employing network theory and dynamical systems to model connectivity, regime shifts, and climate impacts. Her work bridges theoretical ecology with practical conservation, emphasizing equity in scientific practice. Recent publications demonstrate methodological innovation in state-space modeling, macrogenetics, and disease epidemiology while maintaining consistent focus on coral reef sustainability. Analysis of her 15 most recent publications reveals dominant themes in coral reef dynamics (73% of works), with significant contributions to disease modeling (13%) and conservation genetics (13%). Temporal trends show increasing integration of socioeconomic factors since 2021, while mathematical approaches consistently emphasize network connectivity and stability analysis across all publications. Her accolades include: Excellence in Doctoral Research Award (Canadian Society of Ecology and Evolution) Harold H. Harvey Prize for Academic Leadership NSERC Doctoral Scholarship NSERC Postdoctoral Fellowship Supported by NSERC funding throughout her career, Dr. Greiner has collaborated extensively with the Wildlife Conservation Society (WCS) Fiji and Melanesia, including fieldwork surveying Fijian reefs. While no formal advisees are documented, her work demonstrates strong mentorship through collaborative publications and educational contributions like the 'Ten Simple Rules' modeling guide. Her current Melanesian reef project exemplifies her signature approach: integrating mathematical optimization with community engagement to develop context-specific conservation strategies that balance ecological resilience and human needs.

Rohit Singhمشاهده پروفایل

استادیار

• Computational Biology
• Machine Learning
• Single-Cell Genomics
• +۴ مورد دیگر

Rohit Singh is an Assistant Professor at Duke University with appointments in the Departments of Biostatistics & Bioinformatics, Cell Biology, Computer Science, and Electrical and Computer Engineering. He is a member of the Duke Cancer Institute and the Division of Integrative Genomics. Academic Rank : Assistant Professor Departments : Biostatistics & Bioinformatics, Cell Biology, Computer Science, Electrical and Computer Engineering University Affiliations : Duke Cancer Institute, Division of Integrative Genomics His research focuses on computational biology, machine learning for drug discovery, and decoding disease mechanisms through single-cell genomics and protein language models. Current projects include SAME, Velorama, Raygun, and Allo-Allo. Recent publications span single-cell analysis, protein language models, and causal inference. He develops tools like Schema , D-SCRIPT , and Sceodesic . Grants : NIAID, Chan Zuckerberg Initiative, Foundation for Prader-Willi Research Awards : MIT Sprowls Award, Stanford Stephenson Award, RECOMB Test of Time Award He advises students in computational biology and has contributed to patents in protein interaction modeling and viral detection. The lab welcomes postdocs, rotation students, and collaborators.

Kathrin Plathمشاهده پروفایل

استاد

• Stem Cell Biology
• Epigenetics
• Gene Regulation
• +۵ مورد دیگر

Kathrin Plath, Ph.D., is a Professor and Vice Chair in the Department of Biological Chemistry at the David Geffen School of Medicine, University of California, Los Angeles (UCLA) . Her research focuses on epigenetic regulation of cell fate transitions, particularly in stem cell biology, reprogramming, and X-chromosome dynamics. Education: Ph.D., Biochemistry, Humboldt University, Germany (1999) Post-doctoral Fellowships: Stem Cell Biology (Whitehead Institute, 2006), Chromatin Biology (UC San Francisco, 2003), Cell Biology (Harvard Medical School, 2000) Research Interests: Plath investigates mechanisms governing pluripotency, X-chromosome inactivation, and nutrient regulation of stem cell differentiation. Her lab develops single-cell omics technologies like SEC-seq to study transcriptomes and secretomes simultaneously, and explores 3D genome organization's role in gene regulation. Scientific Awards: HHMI Faculty Scholar (2016) ISSCR Board of Directors (2011-2017) NIH Director’s New Innovator Award (2007) Kimmel Foundation Scholar (2007) V Foundation Scholar (2007) Advising & Collaborations: Mentors students like Clara Cano and Sasha Barinsky. Collaborates with Jason Ernst (UCLA), Dino Di Carlo (UCLA), and international researchers on projects involving iPSC reprogramming, X-chromosome dosage compensation, and lung disease modeling.

• Neurodegenerative Diseases
• Alzheimer's Disease Research
• Neuropathology
• +۵ مورد دیگر

Charles L. White, III, M.D., is a Professor of Pathology at the University of Texas Southwestern Medical Center. He holds the Nancy R. McCune Distinguished Chair in Alzheimer Disease Research and serves as Director of Neuropathology and the Neuropathology Core for the UT Southwestern Alzheimer Disease Research Center. Additionally, he directs the Winspear Family Special Center for Research on the Neuropathology of Alzheimer's Disease and oversees the ACGME-accredited Neuropathology Fellowship program, which has trained 22 board-certified neuropathologists since 1988. Clinical/Research Focus: Neurodegenerative brain disorders, tauopathies, TDP-43 encephalopathy, amyloid-β pathology, and digital pathology applications. Leadership: Past President of the American Association of Neuropathologists. Awards: 2020 Award for Meritorious Contributions to Neuropathology. His research explores the molecular and cellular mechanisms underlying Alzheimer's disease, chronic traumatic encephalopathy (CTE), and other tauopathies, with a focus on genetic modifiers, immune dysfunction, and diagnostic biomarkers. He has pioneered AI applications in neuropathology and contributed to standardized criteria for LATE-NC staging and progressive supranuclear palsy.