جست‌وجوی استاد و پژوهشگر

• Optogenetic Vision Restoration
• Photoreceptor Replacement Therapy
• Retinal Physiology
• +۳ مورد دیگر

Juliette E. McGregor, Ph.D. is an Assistant Professor in the Department of Ophthalmology at the University of Rochester's Flaum Eye Institute. She also holds affiliations with the Del Monte Institute for Neuroscience, Neuroscience Ph.D. Program, and Advanced Retinal Imaging Alliance. Her primary research focuses on vision restoration therapies targeting the fovea, leveraging adaptive optics technology to evaluate optogenetic and photoreceptor replacement strategies. McGregor's work addresses challenges posed by the unique anatomy of the fovea in conditions like age-related macular degeneration (AMD). She leads the McGregor Lab, which investigates retinal ganglion cell activity, calcium dynamics post-photoreceptor ablation, and the longevity of optogenetic therapies. Her lab employs advanced imaging techniques including in vivo calcium imaging and femtosecond laser ablation. Key collaborations include projects with David Gamm on photoreceptor transplantation and William Merigan on retinal function evaluation. McGregor is a recipient of the Steven E. Feldon, MD Endowed Scholar award (2021) and has published extensively on topics ranging from foveal physiology to polarization perception. Her educational background includes a PhD in Imaging Dynamic Biological Processes from the University of Cambridge under Prof. Athene Donald. Beyond research, she contributes to public engagement through demonstrations of Haidinger's brushes and holds teaching roles in optics and microscopy. Education: PhD in Imaging Dynamic Biological Processes, University of Cambridge (Supervisor: Prof. Athene Donald) Research Interests: Optogenetic Vision Restoration Photoreceptor Replacement Therapies Foveal Physiology and Optics Adaptive Optics Retinal Imaging Lab Members: Principal Investigator: Juliette McGregor, PhD Postdoctoral Scholars: Soumaya Belhad Graduate Students: Drew Ashbery, Hector Baez, Zhengyang Xu Research Staff: Jen LaPorta Publications Highlights: Recent work includes studies demonstrating optogenetic restoration of retinal activity in primates (Molecular Therapy, 2021), imaging transplanted photoreceptors with single-cell resolution (Stem Cell Reports, 2020), and foundational research on foveal ganglion cell tuning (PLOS One, 2022). Her articles bridge basic science and translational medicine, emphasizing high-resolution imaging and functional recovery. Awards & Recognition: Steven E. Feldon, MD Endowed Scholar (2021) Grants & Funding: Funding sources include National Eye Institute grants and institutional support for vision restoration research. Specific projects focus on optogenetic longevity, photoreceptor transplantation efficacy, and adaptive optics development. Labs & Teams: The McGregor Lab collaborates with the Advanced Retinal Imaging Alliance and the Del Monte Institute for Neuroscience, integrating interdisciplinary approaches to vision science.

• Micro and Nano Sensors
• Biosensors and Bioinstrumentation
• Lab on a Chip
• +۳ مورد دیگر

Jiang Zhe is a Professor in the Mechanical Engineering/Biomedical Engineering department at the University of Akron . With a career spanning over two decades, Dr. Zhe has made significant contributions to micro/nano sensor technology, biosensors, and machine health monitoring. He joined the University in 2003 after industry experience at Fitel Technologies and Advanced Micro Sensors, and was recognized as a Fellow of the American Society of Mechanical Engineers. Ph.D., Columbia University (2002) M. Phil., Columbia University (2000) B.S., Northwestern Polytechnic University (1993) Dr. Zhe’s research focuses on Micro and Nano Sensors , Lab-on-a-Chip , and Microfluidic Devices . His work integrates Artificial Neural Networks and Biosensors for applications in Machine Health Monitoring and Biomolecular Detection . Recent publications highlight advancements in Viscoelastic Fluids , Surface Charge Analysis , and Deep Learning for Sensor Arrays . Dr. Zhe has secured 11 funded NSF grants and received prestigious awards including the ASME Lewis F. Moody Award and the College of Engineering Outstanding Researcher Award . He leads a research group at the University of Akron’s MEMS Laboratory, where he develops cutting-edge technologies for particle manipulation, fluid analysis, and biomedical diagnostics. His laboratory specializes in Microfluidic Resistive Pulse Sensors , Inductive Sensors , and Wearable Devices , with applications in automotive systems, healthcare diagnostics, and environmental monitoring. Dr. Zhe’s interdisciplinary approach bridges mechanical engineering, biomedical science, and machine learning to solve complex challenges in sensor design and fluid dynamics.

Leon Eyrich Jessenمشاهده پروفایل

دانشیار

• Bioinformatics
• Immunology
• Machine Learning
• +۶ مورد دیگر

Leon Eyrich Jessen is an Associate Professor and Groupleader at the Department of Health Technology, Technical University of Denmark (DTU). He leads the Computational Autoimmunity research group, focusing on computational immunology with a particular emphasis on understanding disruptions in central tolerance and the mechanisms that allow the immune system to differentiate between self and non-self. His work aims to uncover immuno-cellular processes associated with autoimmune diseases through single-cell technology and machine learning-based bioinformatics tools. Dr. Jessen's research spans several key areas including Bioinformatics, Immunology, Machine Learning/AI, Data Science, and T-cell Biology. His work specifically addresses Computational Autoimmunity, Bayesian Modeling, and Molecular Evolution. He employs single-cell technology to investigate autoimmune disease mechanisms, with applications in psoriatic arthritis, diabetes, and other autoimmune conditions. His group develops computational methods for T cell receptor analysis, epitope prediction, and spatial transcriptomics. His recent publications demonstrate a strong focus on computational immunology, with key contributions in single-cell RNA sequencing, T cell receptor analysis, and spatial transcriptomics. His work bridges computational methods with immunological applications, particularly in autoimmune disease research. The research shows a consistent pattern of developing and applying machine learning algorithms to complex immunological data, with significant contributions to understanding T cell biology and autoimmune mechanisms. Dr. Jessen actively supervises PhD students including Drachmann, C., Montemurro, A., Povlsen, H. R., and Schaap-Johansen, A.-L. on projects related to single-cell analysis, immunoinformatics, and deep learning methods for immunotherapy. He is also the creator and instructor of "R for Bio Data Science," which is the third largest course at his department, demonstrating his commitment to education and training the next generation of bioinformaticians. He leads the Computational Autoimmunity group which focuses on developing, applying, and serving machine learning-based bioinformatics tools. The group works at the intersection of computational methods and immunological research, with particular emphasis on single-cell technologies and their application to autoimmune disease mechanisms.

Fabien Crausteمشاهده پروفایل

پژوهشگر

• Biomathematics
• Mathematical Immunology
• Delay Differential Equations
• +۴ مورد دیگر

Fabien Crauste is a Director of Research at CNRS, affiliated with MAP5 UMR 8541 at the University of Paris Cité. His work bridges applied mathematics and biomedical research through multi-scale modeling. Math Bio Santé Thematic Network Director Organizer of Modeling, Analysis, Simulations working group Co-organizer of mathematical modeling in life sciences seminar Member of PEPR Maths-Vives Program Committee Active in AMIES and MAP1.5 environmental initiatives Research focuses on mathematical immunology , delay differential equations , and cell population dynamics with applications to CD8 T cell responses, B cell differentiation, and diseases like chronic lymphocytic leukemia and atopic dermatitis . Special emphasis on stochastic modeling and inter-individual variability in immune responses. Current projects include AI4scMED (multiscale AI for precision medicine), DCComm (dendritic-T cell communication), and Digi-DermA (dermatitis modeling). Supervises multiple postdocs and PhD students on these topics. Contributions include developing the Simuscale framework for multi-cell modeling and analyzing erythropoiesis dynamics and germinal center B cell differentiation .

Matiss Ozolsمشاهده پروفایل

مدرس

• Bioinformatics
• Data Science
• Proteomics
• +۶ مورد دیگر

Dr. Matiss Ozols is a Honorary Lecturer (Teaching & Research) in the Division of Cell Matrix Biology & Regenerative Medicine at the University of Manchester and holds a Senior Bioinformatics Data Scientist position at the Wellcome Sanger Institute. His work integrates bioinformatics, software engineering, and data science to address complex biological questions, particularly focusing on single-cell genomic/proteomic data analysis for human genetics insights. He has expertise in programming languages (Python, R, etc.), machine learning, and web development, alongside wet lab techniques like mass spectrometry and cell culture. Education: Bachelor of Engineering in Medical Engineering (University of Bradford, 2014). Research Interests: Ozols focuses on proteomics, genomics, and regenerative medicine with an emphasis on ageing and extracellular matrix remodelling. His lab develops computational tools like the Manchester Peptide Location Fingerprinter (MPLF) to analyze protein modifications. Key areas include tetrapeptide matrikines for skin rejuvenation, vascular ageing mechanisms, and AI applications in healthcare diagnostics. Publications: Recent work spans AI-driven medical imaging (e.g., lung compromise in COVID-19), novel peptide therapeutics for skin health, and systems biology approaches to inflammatory bowel disease. These studies highlight interdisciplinary methods combining computational modeling with experimental biology. Awards: Received the Best Oral Presentation award in 2019. Grants & Projects: Co-Investigator in the Manchester Bioelectronics Network (2018), focusing on bioelectronics applications in healthcare. Active in collaborative research networks including Manchester Precision Medicine Institute and Institute for Data Science and AI. Labs/Teams: Leads bioinformatics initiatives at the Sanger Institute and collaborates with multidisciplinary teams in dermatology, cardiovascular biology, and AI ethics.

• Liver Fibrosis
• Nonalcoholic Fatty Liver Disease
• Gene Regulatory Networks
• +۳ مورد دیگر

Elliot Jokl is a Researcher in the Division of Diabetes, Endocrinology & Gastroenterology. His work focuses on understanding fibrogenic mechanisms in liver diseases, particularly nonalcoholic fatty liver disease (NAFLD) and liver fibrosis. He employs spatial transcriptomics, single-cell RNA sequencing, and multi-omic approaches to study gene regulatory networks and cellular interactions in disease progression. Research interests include the role of SOX9 in myofibroblast activation, circadian rhythm disruption's impact on fibrosis, and the mechanotransduction pathways governing fibroblast behavior. His recent studies explore biomarkers for cystic fibrosis-related liver disease and therapeutic targets for fibrosis using novel spatial and genomic techniques. Notable projects include leading an initiative to identify early biomarkers of hepatocellular carcinoma using high-definition spatial transcriptomics (2025–2026). Collaborations span immunology, genetics, and computational biology to address fibrotic diseases across organs including liver, kidney, and lung. Key findings include SOX9's essential role in hepatic granuloma integrity during schistosomiasis, circadian disruption accelerating fibrosis progression in NAFLD, and PAK1-dependent mechanotransduction pathways in fibroblast nuclear adaptation. His work bridges basic science and clinical applications to improve diagnostics and therapeutic strategies for fibrotic disorders.

Robert Maidstoneمشاهده پروفایل

پژوهشگر ارشد

• Circadian Biology
• Immunology
• Respiratory Medicine
• +۵ مورد دیگر

Robert Maidstone is a Research Fellow in the Division of Immunology, Immunity to Infection and Respiratory Medicine within the School of Biological Sciences at the University of Manchester. His academic career spans prestigious institutions including the University of Oxford and the University of Manchester, where he has consistently focused on the intersection of circadian biology and respiratory medicine. His educational background includes: PhD in Statistics and Operational Research (STOR-i) from Lancaster University (2016), with thesis titled "Efficient Analysis of Complex Changepoint Problems" MRes in Statistics and Operational Research (STOR-i) with Distinction from Lancaster University (2012) BSc in Mathematics with First Class Honours from Lancaster University (2011) Dr. Maidstone's research program centers on computational techniques to explore relationships between the circadian clock and disease, with particular emphasis on how disruption to the circadian system (such as through shift work) impacts health outcomes. His current work utilizes UK Biobank data to investigate the relationship between night shift work and moderate-severe asthma, examining how this relationship interacts with sex differences. He has developed expertise in applying statistical methodologies to complex biological questions, bridging computational approaches with clinical medicine. Analysis of his recent publication record reveals a strong trajectory toward chronobiological applications in respiratory medicine, particularly asthma. His work increasingly combines systematic review methodologies with large-scale data analysis from UK Biobank to examine health impacts of circadian disruption across multiple conditions including mental health, cancer, and metabolic disorders. The research demonstrates growing interdisciplinary collaboration and methodological sophistication in analyzing time-dependent biological phenomena. Dr. Maidstone's scientific recognition includes: Research Scholar with Our Future Health Co-Investigator on an Asthma & Lung UK grant As a computational researcher, Dr. Maidstone serves as Co-Investigator on an Asthma & Lung UK funded project with Dr. Hannah Durrington as Principal Investigator. He co-leads the Research IT Computation and Data in Research (CaDiR) UoM UK Biobank Users community, facilitating data analysis for researchers working with this extensive dataset. His work has been funded through prestigious grants from the Wellcome Trust and Medical Research Council (MRC) throughout his career, demonstrating sustained research excellence. Dr. Maidstone is actively involved in the Institute for Data Science and AI and Digital Futures research platforms at the University of Manchester. His collaborative network spans multiple institutions, with significant work conducted in partnership with Professor David Ray and Professor Andrew Loudon. His research contributes to the United Nations Sustainable Development Goals through data science applications in health research, positioning him at the forefront of the emerging field of chronomedicine.

Jessica Marمشاهده پروفایل

استاد

• Bioinformatics
• Single-cell Biology
• Stem Cell Biology
• +۳ مورد دیگر

Professor Jessica Mar is a Professorial Research Fellow at the Australian Institute for Bioengineering and Nanotechnology (AIBN) at the University of Queensland. Her research focuses on developing bioinformatics methods to understand regulatory processes in human diseases, particularly leveraging single-cell RNA-sequencing to analyze cellular heterogeneity in contexts like cancer, aging, and stem cell biology. Key areas include modeling gene expression variability, analyzing transcriptomic data, and developing statistical frameworks for omics integration. She has led projects funded by grants such as the Georgina Sweet Award and ARC Future Fellowships. Her work spans computational approaches to cancer heterogeneity, senescence mechanisms in stem cells, and the impact of senolytic therapies on aging. Recent studies include applications of single-cell technologies to brain organoids and breast cancer metastasis. Awards include recognition for contributions to quantitative biomedical science and stem cell research. She collaborates widely, mentoring students in computational biology, stem cell biology, and systems biology. Publications highlight her contributions to understanding tumor heterogeneity, epigenetic dynamics, and the interplay between mechanics and cell reprogramming. Her lab’s work integrates machine learning with experimental biology, addressing challenges in data analysis for single-cell and spatial omics. Current projects include biomarker discovery for hypoxic-ischemic encephalopathy and developing optimal transport models for cancer progression analysis.

Gabrielle Belzمشاهده پروفایل

استاد

• Immunology
• Cellular immunology
• Mucosal immunity
• +۴ مورد دیگر

Professor Gabrielle Belz is an ARC Australian Laureate Fellow at The University of Queensland's Frazer Institute within the Faculty of Health, Medicine and Behavioural Sciences. She holds a PhD and multiple advanced degrees in veterinary science and immunology. Her research focuses on understanding protective immunity, cellular differentiation, and innate immune cell development, particularly in mucosal defenses against pathogens like influenza and herpesviruses. Belz pioneered systems for tracking virus-specific T cells and identified critical roles for CD4 T cell help in antiviral responses. Her work integrates multiparameter flow cytometry, systems biology, and in vivo models to study immune pathways in health and disease. Education: Bachelor of Veterinary Biology, The University of Queensland Bachelor (Honours) of Veterinary Science, The University of Queensland Doctor of Philosophy, The University of Queensland Doctoral Diploma, The University of Queensland Research Interests: Mechanisms of protective immunity against respiratory and gastrointestinal pathogens Role of innate lymphoid cells (ILCs) and T cells in mucosal immunity Immune responses to chronic infections and tumours Epithelial- immune cell cross-talk in barrier integrity Spatial biology and multi-omics approaches to study immune landscapes Awards & Honours: Arc Laureate Fellowship (2024) Gottschalk Medal (Australian Academy of Science) Wellcome Trust Overseas Fellowship HHMI International Research Scholar Award NHMRC Elizabeth Blackburn Fellowship Grants & Funding: ARC Australian Laureate Fellowships (2025-2029) NHMRC MRFF grants for lung cancer and immunotherapy research Cure Cancer Early Career Research Grants (2024-2026) Her laboratory actively supervises PhD candidates exploring mucosal immunity, vaccine development, and innate immune cell metabolism. Belz collaborates widely, leveraging cutting-edge platforms like spatial multi-omics to advance translational immunology.

• Bioinformatics
• Computational Biology
• Single-Cell RNA Sequencing
• +۶ مورد دیگر

Christoph Ziegenhain is an Assistant Professor at the Karolinska Institute , affiliated with the Department of Medical Biochemistry and Biophysics . He leads the Ziegenhain Lab , which focuses on molecular processes in human cells, particularly the control of alternative splicing in transcribed mRNAs. His group integrates novel single-cell sequencing techniques with computational biology to advance understanding in these areas. Position: Assistant Professor Institution: Karolinska Institute Department: Medical Biochemistry and Biophysics Lab: Ziegenhain Lab Christoph Ziegenhain's research spans Bioinformatics , Computational Biology , and Single-Cell RNA Sequencing . His work emphasizes transcriptional dynamics , alternative splicing , and the development of high-throughput sequencing methods like Smart-seq3xpress and Prime-seq . Current projects analyze gene expression noise, allelic imbalance, and the role of long noncoding RNAs in regulation. The Ziegenhain Lab's recent publications demonstrate expertise in single-cell transcriptomics , multi-omics profiling , and method development for RNA sequencing. Key subfields include transcriptional bursting , redox signaling , epithelial homeostasis , and hematopoietic stem cell differentiation . Swedish Research Council Grant (2023–2026): "Decoding the interplay of regulation and stochasticity in alternative mRNA splicing" Lab members include doctoral students Shiyao Chen and Constantin Diekmann , research assistants Cleo Damon , Zhouhui Qi , and Lukas Schertler , and affiliated researchers such as Gandolfo Gennaro and Ursa Zevnik . Collaborations with institutions like New York University and Stanford University highlight his interdisciplinary approach.

Regine Dressمشاهده پروفایل

پژوهشگر

• Immunology
• Systems Immunology
• Dendritic Cells
• +۳ مورد دیگر

Regine Dress is a Researcher at the Faculty of Medicine , University of Hamburg , affiliated with the Center for Molecular Neurobiology Hamburg (ZMNH) and the Institute of Systems Immunology . She is based at the University Medical Center Hamburg-Eppendorf (UKE) in Hamburg, Germany. Her research focuses on Immunology , Systems Immunology , and Neurobiology . She specializes in the development and function of Dendritic Cells and Mononuclear Phagocytes , including their roles in Inflammatory Diseases , Vaccine Development , and Neurodegenerative Disorders . Her work leverages Single-Cell RNA Sequencing and large-scale ImmGen datasets to explore cellular metabolism and differentiation. Regine has co-authored numerous high-impact studies in Nature Immunology , Nature Communications , and Immunity , with recent contributions to SARS-CoV-2 vaccine platforms and Biliary Atresia immunopathology . She collaborates with international teams and contributes to standardizing Flow Cytometry protocols in immunological research. Contact: r.dress@uke.de

WanTien Chiangمشاهده پروفایل

استادیار

• Systems Immunology
• Bioinformatics
• Computational Biology
• +۶ مورد دیگر

WanTien (Austin) Chiang is an Assistant Professor at the Medical College of Georgia , Augusta University, affiliated with both the Department of Medicine and the Immunology Center of Georgia . With expertise spanning systems immunology, bioinformatics, and computational biology, Dr. Chiang develops biological modeling algorithms to study complex immunological systems and human diseases.

Melissa K. Passarelliمشاهده پروفایل

استادیار

• Imaging Mass Spectrometry
• Spatial 'omics
• Secondary Ion Mass Spectrometry (SIMS)
• +۳ مورد دیگر

Melissa K. Passarelli is an Assistant Professor in the Department of Chemistry and Biochemistry at Concordia University, specializing in advanced imaging mass spectrometry techniques. Her work bridges analytical chemistry, biochemistry, and pharmaceutical sciences. Ph.D., The Pennsylvania State University B.Sc., Union College Her research focuses on Imaging Mass Spectrometry (IMS) , including Spatial 'omics , SIMS , and MALDI , for applications in intracellular drug measurement, subcellular chemical imaging, and neurodegenerative disease studies. Recent publications highlight her innovations in 3D OrbiSIMS , correlative imaging methodologies, and single-cell analysis. Key trends include molecular mapping in Alzheimer’s pathology, drug delivery systems, and lipidomics. Her lab collaborates on multi-modal approaches integrating atomic force microscopy (AFM) with single-cell mass spectrometry to evaluate drug uptake and biochemical effects. Funded by a FRQNT grant , this work addresses therapeutic and toxicological challenges. Melissa teaches courses in Analytical Chemistry for Biologists and Imaging Mass Spectrometry , and maintains an active research group with expertise in mass spectrometry-based intracellular analysis.

Kieran Campbellمشاهده پروفایل

استادیار

• Biostatistics
• Data Science
• Machine Learning
• +۴ مورد دیگر

Kieran Campbell is an Assistant Professor at the University of Toronto, cross-appointed to the Departments of Molecular Genetics and Statistical Sciences. He serves as an investigator at the Lunenfeld-Tanenbaum Research Institute in Downtown Toronto (St. George Campus). His research focuses on Bayesian models and machine learning for high-dimensional biomedical data, particularly single-cell and cancer genomics, as well as spatial 'omics data. His work includes developing methods to integrate single-cell RNA/DNA sequencing data, delineate tumor microenvironments, and infer tumor ecosystem dynamics from single-cell atlases. Machine learning for biomedical data Statistical genomics Tumor microenvironment analysis Latent variable models Single-cell sequencing Cancer progression modeling The Campbell Lab, based in Toronto's Discovery District at the Lunenfeld-Tanenbaum Research Institute, advances probabilistic machine learning techniques for multiplexed imaging datasets and segmentation error correction in biomedical analysis.

Ralph Horwitzمشاهده پروفایل

استاد

• Cardiovascular Sciences
• Clinical Epidemiology
• Internal Medicine
• +۵ مورد دیگر

Ralph Horwitz, MD, is a Professor in the Department of Cardiovascular Sciences at the Lewis Katz School of Medicine, Temple University. He is affiliated with the Aging + Cardiovascular Discovery Center, where his research bridges clinical medicine, epidemiology, and social determinants of health. MD, Pennsylvania State University College of Medicine, 1973 Internship and Residency, Royal Victoria Hospital of McGill University, 1974–1975 Residency, Massachusetts General Hospital, 1978 Fellowship, Robert Wood Johnson Clinical Scholars Program, Yale University, 1977 Dr. Horwitz's research interests include cardiovascular epidemiology, clinical trial methodology, delirium, biosocial medicine, and the integration of social context into personalized medicine. His work emphasizes the interplay between biology and environment in shaping health outcomes, particularly in aging and chronic disease. He has made significant contributions to the understanding of comorbidity, multimorbidity, and the limitations of evidence-based medicine when applied to individual patients. His recent publications (2017–2023) reveal a strong focus on psychosomatic medicine, the social determinants of health, and methodological rigor in clinical research. Themes include the critique of biomedical reductionism, the importance of context in treatment effectiveness, and the development of integrated models for chronic illness such as Long COVID. Scientific recognition includes: Fellow, American College of Physicians Fellow, American College of Epidemiology Fellow, American Society for Clinical Investigation Dr. Horwitz has advised numerous research initiatives and contributed to major methodological discussions in clinical epidemiology. His work on stratified randomization and the Confusion Assessment Method (CAM) has had lasting impact. While specific grant details are not listed, his sustained publication record in high-impact journals suggests substantial research support. He has collaborated widely across disciplines, particularly in psychosomatic medicine and health services research. He is actively involved in the Aging + Cardiovascular Discovery Center, contributing to interdisciplinary efforts to understand and treat age-related cardiovascular conditions through a holistic lens.