جست‌وجوی استاد و پژوهشگر

Marilyn Dietrichمشاهده پروفایل

مدرس

• Flow Cytometry
• Immunology
• Cell Biology
• +۳ مورد دیگر

Marilyn Dietrich serves as a Lecturer in the Department of Pathobiological Sciences at Louisiana State University's School of Veterinary Medicine, where she has been a faculty member since April 1, 1991. She maintains a dual role as a key contributor to the Flow Cytometry Core Facility, driving collaborative research in flow cytometry methodology development across immunology, toxicology, and veterinary pathology disciplines. Education MS, Louisiana State University, 1980 BS, Louisiana State University, 1978 Dr. Dietrich's research centers on advancing flow cytometry applications through interdisciplinary collaboration, with significant contributions to stem cell biology (particularly adipose-derived stromal/stem cells), veterinary oncology, and metabolic disease modeling. Her work bridges veterinary and human health research, focusing on technical innovations for cell isolation, differentiation protocols, and disease mechanism analysis. The Flow Cytometry Core Facility under her expertise enables high-impact studies in regenerative medicine and veterinary diagnostics. Analysis of her 2013-2020 publications reveals consistent focus on stem cell methodology (80% of work), with dominant themes in adipose tissue biology, cryopreservation techniques, and veterinary disease modeling. Her research demonstrates strong translational value through applications in regenerative therapies and veterinary diagnostics, frequently appearing in specialized journals like Obesity , Cell Proliferation , and Frontiers in Veterinary Science . Dr. Dietrich actively engages graduate students through PBS 7413 (Techniques in Flow Cytometry) and VMED 5010 (Introduction to Flow Cytometry), providing hands-on training in cutting-edge cell analysis methods. Her mentorship extends to collaborative research projects where students contribute to stem cell and veterinary pathology studies. As an integral member of the Flow Cytometry Core Facility, she provides critical technical leadership for experimental design, data acquisition, and analysis across multiple research domains. The facility serves as a hub for interdisciplinary collaboration, supporting projects ranging from veterinary oncology to metabolic disease research through advanced cytometry applications.

• Autoimmune Myopathy
• Immunology
• Inflammation
• +۵ مورد دیگر

Yves Allenbach is a University Professor and Hospital Practitioner (PU-PH) at Sorbonne University, specializing in Internal Medicine. He holds a Habilitation à Diriger des Recherches (HDR) from Paris-Sud University and leads translational research focused on autoimmune myopathies and the immunotoxicity of anti-tumor treatments. Doctor of Science in Immunology – Sorbonne University Doctor of Medicine – Internal Medicine Research Interests: His work spans diagnosis , phenotypic characterization , pathophysiological mechanisms , and disease activity measurement in inflammatory and autoimmune muscle diseases. Key areas include dermatomyositis , immune-mediated necrotizing myopathy , and myotoxicity of cancer therapies . Recent Publications highlight advances in biomarker development (e.g., interferon quantification), immune profiling (e.g., mass cytometry in Fabry disease), and therapeutic trials (e.g., abatacept for myocarditis). His studies often integrate clinical data and biological samples from the National Reference Center for myopathies.

Andrew Fiore-Gartlandمشاهده پروفایل

استاد پژوهشی

• Vaccine Development
• Immunological Correlates of Protection
• Biostatistics
• +۵ مورد دیگر

Andrew Fiore-Gartland, PhD is a Principal Staff Scientist in the Biostatistics, Bioinformatics and Epidemiology Program within the Vaccine and Infectious Disease Division at Fred Hutchinson Cancer Center. He serves as Co-Director of the Vaccine and Immunology Statistical Center (VISC) and is a faculty member of the NIH HIV Vaccine Trials Network (HVTN), leading quantitative research teams focused on accelerating vaccine development for TB, HIV, COVID-19, and malaria. His research specializes in computational approaches to understanding immune responses induced by vaccination, with particular expertise in analyzing multiparameter flow cytometry data, T cell receptor repertoire sequencing, and transcriptomic biomarkers. Current projects include TB vaccine trials through HVTN, work with the Seattle Tuberculosis Research Advancement Center (SEATRAC), and developing methods for TCR and single-cell biomarker analysis to identify immunological correlates of protection for vaccines like BCG and M72/AS01E. As a member of the Translational Data Science Integrated Research Center at Fred Hutch, Dr. Fiore-Gartland actively mentors data scientist and computational biology trainees while developing programming tools for biologists. His GitHub profile demonstrates active contributions to open-source scientific software including pwseqdist for protein sequence analysis, fishersapi for statistical testing, and cycluster for cytokine data analysis.

• Biostatistics
• Statistics
• Non-parametric Methods
• +۵ مورد دیگر

Dr. Ahmad Farooqi serves as Assistant Professor at Central Michigan University College of Medicine, where he provides statistical leadership through the Clinical Research Institute (CRI). He delivers weekly statistics instruction to medical trainees at Children's Hospital of Michigan and offers comprehensive analytical support for clinical research projects across the institution. His academic credentials include: Ph.D. in Biostatistics from Wayne State University M.S. and M.A. in Statistics from University of Windsor M.Phil in Statistics from Government College University, Lahore Dr. Farooqi's research pioneers non-parametric, robust, and exact statistical methodologies applied to pediatric clinical challenges. His work addresses critical gaps in small-sample clinical studies through innovative approaches to longitudinal data analysis, survival modeling, and diagnostic accuracy assessment. As a SAS-certified expert, he implements advanced techniques across SAS, R, and SPSS environments to solve complex analytical problems in cardiology, emergency medicine, and immunology research. His publication record demonstrates consistent high-impact contributions across pediatric specialties, with particular emphasis on cardiac outcomes, emergency department operations, and immunological responses. The research portfolio reveals strong methodological rigor combined with practical clinical applications, often addressing resource-constrained scenarios requiring robust analytical solutions. Key recognitions include: Best Article Award in Pediatric Neurology (2019) Best Paper Award at ICCS-15 statistical conference Wayne State University Full Tuition Scholarship Dr. Farooqi actively mentors medical researchers through statistical consulting and teaching, with collaborations spanning multiple departments and international institutions. His role in the CRI facilitates cross-disciplinary research partnerships while advancing methodological standards in clinical investigation. Current work focuses on refining statistical approaches for pediatric cardiac interventions and emergency care protocols through ongoing clinical data analysis projects.

Smita Krishnaswamyمشاهده پروفایل

دانشیار

• Unsupervised Machine Learning
• Manifold Learning
• Deep Learning
• +۷ مورد دیگر

Smita Krishnaswamy is an Associate Professor of Genetics and Computer Science at Yale University with joint appointments in both departments. She is affiliated with multiple interdisciplinary programs including the Applied Mathematics Program, Computational Biology and Bioinformatics Program, Yale Center for Biomedical Data Science, Yale Cancer Center, and the Wu Tsai Institute. Her research bridges computational methods development with biomedical applications, focusing on unsupervised machine learning approaches for high-dimensional data analysis. Associate Professor of Genetics, Yale School of Medicine Associate Professor of Computer Science, Yale University Affiliated Faculty, Applied Mathematics Program Affiliated Faculty, Computational Biology and Bioinformatics Member, Yale Center for Biomedical Data Science Member, Yale Cancer Center Member, Wu Tsai Institute Dr. Krishnaswamy's research focuses on developing unsupervised machine learning techniques, particularly manifold learning and deep learning methods, to analyze high-dimensional biomedical data. Her lab creates algorithms for non-linear dimensionality reduction, data geometry learning, denoising, imputation, and inference of multi-granular structures from complex datasets. These methods are applied to diverse data types including single-cell RNA-sequencing, mass cytometry, electronic health records, and connectomic data across multiple biological systems. Her work spans several key application areas including immunology and immunotherapy, cancer research, neuroscience, developmental biology, and health outcomes analysis. The lab employs approaches from geometric deep learning, multiscale graph signal processing, and topological data analysis to extract meaningful biological insights from complex datasets. Recent publications demonstrate the lab's leadership in developing methods for spatial transcriptomics, brain-state trajectory modeling, and organ donation prediction. Excellence in Science Early-Career Investigator Award from FASEB (2022) Yale Cancer Center Class of '61 Cancer Research Award (2025) Dr. Krishnaswamy maintains active collaborations across Yale and secures research funding supporting her work in computational biomedicine. She advises students through multiple programs including Genetics, Computer Science, and the Biological and Biomedical Sciences Graduate Program, fostering interdisciplinary training at the intersection of computation and biomedicine. The Krishnaswamy Lab operates at the forefront of computational biomedicine, developing mathematical approaches that enable new biological discoveries from complex datasets.

• Cellular Immunology
• Innate Immunity
• Aging and Immunity
• +۵ مورد دیگر

Ruth R. Montgomery is a Professor of Medicine and Professor of Epidemiology (Microbial Diseases) at Yale School of Medicine, where she also serves as Associate Dean for Scientific Affairs. She holds a primary appointment in Rheumatology with secondary appointments in Epidemiology of Microbial Diseases and Pathology. Dr. Montgomery is a cellular immunologist with expertise in novel technology for human translational studies, particularly in immune profiling and single-cell mass cytometry. Professor of Medicine, Yale School of Medicine Professor of Epidemiology (Microbial Diseases), Yale School of Medicine Associate Dean for Scientific Affairs Primary Appointment: Rheumatology Secondary Appointments: Epidemiology of Microbial Diseases, Pathology Member, Cancer Immunology Program Member, Human and Translational Immunology Program Member, Yale Center for Research on Aging (Y-Age) Dr. Montgomery's research focuses on effects of aging on innate immunity and individual variation influencing susceptibility to West Nile, dengue, Zika and COVID-19 viruses. She employs systems-wide studies to identify individual differences in immune responses that lead to divergent outcomes to infection, with particular emphasis on inflammatory profiling of patients with sickle cell disease. She has overseen studies of immune responsiveness in human cohorts with successful enrollment of over 2,000 healthy individuals and is notable for her use of primary human cells to demonstrate immune-related mechanisms. Her recent publications demonstrate a strong focus on immune profiling in viral infections, particularly COVID-19, with multiple high-impact papers identifying immune signatures associated with disease severity, mortality, and long-term outcomes. She has pioneered the use of multi-omics approaches to understand individual variation in immune responses. Fellow, American Association for the Advancement of Science (2025) Member, Connecticut Academy of Science and Engineering (2020) Dr. Montgomery launched the CyTOF facility at Yale in 2013, enabling advanced single-cell immune profiling. She has been actively involved in major research initiatives including the IMPACC study on immune responses to SARS-CoV-2. Her work bridges basic immunology with clinical applications, particularly in understanding how aging affects immune responses to viral pathogens. She leads the CyTOF Facility at Yale and is deeply involved with the Yale Center for Research on Aging (Y-Age), where her work on age-related changes in immunity has important implications for understanding susceptibility to infectious diseases in older adults.

• Clinical Trials Methodology
• Bayesian Statistics
• Rare Diseases Research
• +۳ مورد دیگر

Dr. Giulia Risca is a researcher in the Department of Medicine and Surgery at the University of Milano-Bicocca, School of Medicine and Surgery. She recently completed her doctoral thesis on Bayesian methods for basket trials in rare diseases under the supervision of Professor Stefania Galimberti. Her research spans multiple domains including clinical trial methodology, hematology/oncology, and proteomics. Dr. Risca's research interests focus on developing innovative clinical trial designs for rare diseases, with particular expertise in Bayesian statistics and basket trial methodology. Her work addresses critical challenges in rare disease research where limited patient populations make traditional trial designs impractical. She has made significant contributions to understanding how information can be borrowed across sub-trials while maintaining appropriate statistical properties. Additionally, she conducts important translational research in CAR-T cell therapy for leukemia and develops diagnostic algorithms for iron metabolism disorders. Analysis of Dr. Risca's publication record reveals a strong focus on methodological innovation in clinical trials combined with impactful clinical applications. Her work demonstrates expertise in bridging statistical theory with practical clinical research needs, particularly in areas with limited patient populations. The publications span multiple disciplines but maintain a cohesive thread of methodological rigor applied to challenging clinical problems. Dr. Risca actively collaborates with clinical researchers across multiple medical specialties, contributing her statistical expertise to studies in hematology, oncology, nephrology, and ophthalmology. Her work on CARCIK-CD19 cell therapy, rare disease trial design, and diagnostic algorithms for iron overload represents significant contributions to their respective fields. She participates in multicenter studies across European institutions, demonstrating her integration into the broader research community. Dr. Risca leads research activities in biostatistics and clinical trial methodology, supervising analytical components of multiple clinical studies. Her work often involves developing and implementing sophisticated statistical approaches to address complex research questions where traditional methods are inadequate, particularly in the context of rare diseases with small sample sizes.

• Tissue Engineering
• Regenerative Medicine
• Biomaterials
• +۴ مورد دیگر

Liliana Sofia Moreira Teixeira Leijten serves as Associate Professor in Advanced Organ Bioengineering and Therapeutics at the University of Twente's TechMed Centre, where she leads pioneering research in tissue engineering and regenerative medicine. Her work integrates biomechanics, biomaterials science, and microfluidics to develop physiologically relevant models for joint disease study and therapeutic development. Her research focuses on cartilage and synovium biology, employing organ-on-chip platforms to investigate cellular responses to mechanical stimuli like fluid shear stress and compressive loading. Key methodologies include dextran/hyaluronic acid-based biomaterials, 3D bioprinting, and high-throughput single-cell analysis techniques to decode chondrocyte behavior in osteoarthritis and regeneration contexts. This interdisciplinary approach bridges engineering principles with cellular biology to create predictive in vitro systems. Recent publications reveal a strategic shift toward dynamic tissue modeling, with 2025 works emphasizing arterial pulsatility simulation in biofabricated channels and high-resolution protein deposition mapping in 3D microenvironments. These advances demonstrate her leadership in merging vascular engineering with cartilage research to address complex regenerative challenges. Scientific recognition includes: Best Abstract Award from TERMIS meeting 2010 Best Poster Award (2 December 2010) Biological in vitro evaluation of chitosan-based hydrogels for cartilage regeneration (20 November 2008) No explicit details regarding student advising or grant funding were documented in the source materials, though her collaborative project leadership implies active mentorship roles. Dr. Leijten coordinates multiple TechMed Centre initiatives including Cartilage-On-Chip and Synovial membrane-on-chip platforms, working with cross-disciplinary teams to develop multi-cellular systems that replicate joint biomechanics and inflammatory responses for drug screening applications.

• Epigenetics
• Paleontology
• Conservation Genetics
• +۲ مورد دیگر

Farideh Moharrek serves as an Academic Research Officer in the Department of Immunology and Microbiology within the Faculty of Health and Medical Sciences at the University of Copenhagen. Based at the FACS Core Facility (Nørre Allé 14, 2200 København N), she contributes to immunological and microbiological research through advanced cellular analysis infrastructure and collaborative scientific projects. Her research spans epigenetics, paleontology, and conservation genetics with emphasis on evolutionary mechanisms and biodiversity applications. Key investigations include epigenetic plasticity in organ speciation via sperm DNA methylation, Bayesian modeling of bryozoan diversification from fossil records, and policy-relevant genetic diversity indicators for the Convention on Biological Diversity. This interdisciplinary work bridges molecular biology, evolutionary history, and conservation science. Analysis of her 2021-2022 publications reveals strong transdisciplinary collaboration across epigenomics, paleontology, and conservation policy domains. Her work integrates high-throughput genomic data, statistical fossil record modeling, and conservation genetics frameworks, demonstrating methodological versatility in addressing both fundamental evolutionary questions and practical biodiversity challenges. As part of the FACS Core Facility team, Moharrek supports flow cytometry and cell sorting services essential for immunological research at the university. This facility provides critical infrastructure for cellular analysis across multiple research groups within the Department of Immunology and Microbiology.