جستجوی استاد راهنمای دانشگاهی

Benjamin Machta is an Assistant Professor of Physics at Yale University, affiliated with the Department of Physics and the QBio Institute. He holds a BS from Brown University and a PhD from Cornell University, followed by a postdoctoral fellowship at Princeton University. His research focuses on applying theoretical physics to understand biological systems, particularly leveraging statistical physics and information theory to study biological membranes near critical points and the energetic constraints of biological signaling. Education: BS in Physics (Brown University), PhD in Physics (Cornell University), Postdoc at Princeton University (Lewis-Sigler Theory Fellow). Research Interests include: membrane criticality, phase transitions in biological systems, information-theoretic limits in organism function, and energy dissipation in biological processes. His work often bridges theoretical models with experimental data, such as collaborations with Sarah Veatch’s lab on membrane phase behavior. Publications highlight themes like membrane criticality, protein phase separation, and energy constraints in signaling. His group’s current projects explore cochlear mechanics, thermodynamic control in biological systems, and the role of criticality in sensory systems. Awards: 2019 Simons Investigator Award. Lab Affiliations: QBio Institute and Department of Physics at Yale, located in YSB-C164. Group members include postdocs Isabella Graf and Michael Abbott, and graduate students Asheesh Momi, Mason Rouches, and others.

• Biophysics
• Condensed Matter Physics
• Statistical Physics
• +۳ مورد دیگر

Lucia Carichino is an Assistant Professor in the School of Mathematics and Statistics at Rochester Institute of Technology (RIT). She holds a PhD in Mathematics from Purdue University and a BS/MS in Mathematical Engineering from Politecnico di Milano, Italy. Her research focuses on mathematical and computational models of multiscale biological systems, particularly fluid-structure interaction in biological contexts like ocular blood flow and microswimmers. She emphasizes integrating experimental data with mathematical models to advance medical understanding. Carichino teaches courses such as Differential Equations, Linear Algebra, and oversees undergraduate research projects. In 2023, she received the National Science Foundation LEAPS-MPS award for her work on computational modeling of eye-contact lens interactions. Her research has been published in high-impact journals and presented at conferences. She actively collaborates on projects addressing glaucoma, ocular hemodynamics, and biomedical applications. Education: PhD in Mathematics, Purdue University BS and MS in Mathematical Engineering, Politecnico di Milano, Italy Research interests include fluid dynamics, numerical methods, and mathematical biology. Her work bridges theoretical models with biomedical applications, such as optimizing gene therapy delivery and analyzing ocular physiology under varying environmental conditions (e.g., altitude). She explores topics like sperm motility, computational simulations of biological systems, and the interplay between fluid dynamics and biological structures. Her recent articles highlight advancements in ocular pharmacokinetics, contact lens interactions, and altitude effects on intraocular pressure. These studies underscore her expertise in multiscale modeling and fluid-structure interaction. Carichino also contributes to educational initiatives, fostering a collaborative classroom environment. Notable awards include the NSF LEAPS-MPS award (2023). She advises student research projects and collaborates with colleagues, such as Maki, on interdisciplinary studies. Her work is supported by grants and has led to presentations at ophthalmology and mathematics conferences. Carichino’s lab focuses on computational modeling of biological systems, particularly in ophthalmology and microscale fluid dynamics. Her team develops tools to simulate complex physiological processes, aiding in medical diagnostics and treatment strategies.

• Mathematical Biology
• Fluid Dynamics
• Numerical Methods
• +۵ مورد دیگر

Laura Solt, Ph.D. is an Associate Professor in the Department of Immunology and Microbiology at the Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology in Jupiter, Florida. She also serves as Associate Dean of the Skaggs Graduate School of Chemical and Biological Sciences. Dr. Solt began her independent research career at Scripps Florida in 2013 and has established herself as a leading researcher in nuclear receptor biology within the immune system. Her research focuses on understanding the biologically relevant roles of nuclear receptors, particularly RORα and REV-ERBs, in the immune system with emphasis on TH17 cell development and autoimmune disease. Her lab employs a multidisciplinary approach combining molecular biology, genetic techniques, and chemical biology coupled with mouse models of autoimmunity and chronic inflammation. Dr. Solt's laboratory has made significant contributions to understanding how nuclear receptors regulate immune cell function, particularly in TH17-mediated inflammation. Her work has demonstrated roles for RORα and REV-ERBs in TH17 cell development and has developed synthetic ligands to these receptors for potential therapeutic applications in autoimmune diseases. Her extensive publication record shows a clear trajectory of research focused on nuclear receptor signaling in immunity, with recent work expanding into applications for cancer immunotherapy, neuroimmunology, and metabolic aspects of immune cell function. Her articles demonstrate expertise in both basic nuclear receptor mechanisms and translational applications. Ruth L. Kirschstein National Research Service Awards (2010-2013) Dr. Solt actively mentors graduate students including Adrianna Wilson (recipient of NIDDK F31 and Scheller Graduate Student Fellowship) and Sarah Mosure (recipient of NIH NRSA F31 award and Wendy Havran award). Her laboratory receives substantial funding from multiple NIH institutes (NIDDK, NCI, NIAID, NIGMS) as well as the Crohn's & Colitis Foundation. Current research directions include investigating the roles of NR2F6 in TH17 cells, exploring RORα function in CD8 T cells, and developing novel nuclear receptor modulators for therapeutic applications.

• Autoimmune Disease
• Cancer Immunotherapy
• Immunometabolism
• +۵ مورد دیگر

Dr. Ian Wilson is a researcher at Newcastle University with a focus on medical genetics, nephrology, and genomic analysis. His work spans genetic determinants of kidney diseases, mitochondrial disorders, and biomarker development. Notable contributions include studies on uromodulin genetics in African populations, copy-number variations in rare diseases, and kidney ciliopathies. He has collaborated extensively on projects involving genome sequencing, mitochondrial replacement therapy, and muscular dystrophy biomarkers. Wilson's research integrates computational tools like machine learning for predictive modeling in urolithiasis and employs advanced imaging techniques for disease progression monitoring. Key areas: Genetic epidemiology, renal genomics, mitochondrial DNA analysis Focus on translational applications: Biomarker development for kidney stones and muscular dystrophies Interdisciplinary collaborations in ophthalmology and orthopedics His publications reflect a commitment to advancing diagnostic accuracy and understanding complex genetic disorders through multi-omics approaches.

• Medical Genetics
• Nephrology
• Genomics
• +۳ مورد دیگر

Professor Maryse Bailly is a Professor of Cell Biology at the UCL Institute of Ophthalmology, University College London, where she has been employed since December 2000, progressing from Lecturer to Reader/Associate Professor and finally to Professor in October 2020. Her research focuses on understanding fibroblast behavior in the context of ocular diseases, scarring, and fibrosis, with particular emphasis on cytoskeletal dynamics and mechanotransduction pathways. Education: Doctor of Philosophy, Universite Claude Bernard (Lyon 1), 1992 Diplome Universitaire de Technologie, Universite Claude Bernard (Lyon 1), 1983 Professor Bailly's research program investigates how fibroblasts sense and respond to mechanical and chemical stimuli in their environment, with applications to multiple ocular pathologies including trachoma, thyroid eye disease, glaucoma scarring, and myopia. Her laboratory has developed innovative in vitro and ex vivo models that allow the study of tissue contraction mechanisms within pseudo-physiological 3D environments, leading to the identification of novel therapeutic targets such as the Rac1 small GTPase and the MRTF/SRF pathway. She has established significant collaborations with clinicians at Moorfields Eye Hospital, particularly with Dr. Annegret Dahlmann-Noor on pediatric eye growth and myopia research. Analysis of Professor Bailly's publication record reveals a consistent focus on fibroblast mechanobiology with increasing emphasis on pediatric ocular development in recent years. Her work bridges fundamental cell biology with translational applications, particularly in understanding the biomechanical properties of fibroblasts in myopia development and post-surgical scarring. The research demonstrates strong interdisciplinary connections between ophthalmology, cell biology, and tissue engineering. Teaching: CELL0016 - Actin cytoskeleton and Intermediate Filaments CELL0017 - Fibrosis and mechanotransduction CELL0009 - Models organisms and techniques MECH0031 MSc Biomaterials & Tissue Engineering - Modeling tissue contraction and fibrosis

• Cell Biology
• Ophthalmology
• Fibrosis
• +۵ مورد دیگر

Xenophon Papademetris is a Professor of Biomedical Informatics & Data Science and Radiology & Biomedical Imaging at Yale School of Medicine. He serves as Associate Director of Biomedical Imaging Data Sciences at Yale Biomedical Imaging Institute and directs the Medical Software and Medical Artificial Intelligence Certificate Program. PhD in Electrical and Information Sciences from Yale University (2000) BA from Cambridge University (1994) Postdoctoral Fellowship at Yale University (2002) His research focuses on medical image analysis, machine learning, and biomedical software development. He has developed tools like BioImage Suite Web and contributed to standards committees at the Association for the Advancement of Medical Instrumentation (AAMI). His work spans modalities including MRI, CT, PET, and optical imaging. Recent publications emphasize neuroimaging analysis, explainable AI in healthcare, and multimodal data integration across species. He leads NIH-funded research under the BRAIN Initiative (R24 MH114805) and has authored a textbook on Medical Software published by Cambridge University Press. IEEE Senior Member Yale Brown-Coxe Postdoctoral Fellowship Harding Bliss Prize for Excellence in Engineering He directs the BioImage Suite Project, creating web-based image analysis tools using JavaScript and WebAssembly. His teaching includes both academic courses and a Coursera program on Medical Software with over 14,000 enrollments.

• Medical Image Analysis
• Machine Learning
• Biomedical Software Development
• +۷ مورد دیگر

Istvan Albert is a Research Professor of Bioinformatics at Pennsylvania State University , affiliated with the Department of Biochemistry and Molecular Biology . He leads the Bioinformatics Consulting Center and teaches BMMB 852: Applied Bioinformatics . Research Interests: Specializing in bioinformatics, large-scale biological data analysis, microarray and sequence analysis, scientific programming, algorithm development, and database-driven web development. His work spans gene ontology visualization , RNA-Seq analysis , and coronavirus research . Software Development: Created GeneScape for gene function visualization and bio for bioinformatics workflows. Maintains the Biostar Handbook series and the Biostars Q&A Forum , a leading bioinformatics resource.

• Bioinformatics
• Genomics
• Computational Biology
• +۵ مورد دیگر

Prof. Dr. Kathrin Schumann is an Assistant Professor at the Technical University of Munich (TUM), leading the 'Engineering Immune Cells for Therapy' group within the TUM School of Medicine and Health. Her research focuses on CRISPR-based engineering of human immune cells to develop novel therapies for autoimmune and tumor diseases. She holds a doctorate from the Max Planck Institute of Biochemistry and has conducted postdoctoral research at the University of California, San Francisco, under Professors Alex Marson and Jeffrey Bluestone. Dr. Schumann’s academic career includes a Presidential Postdoc Fellowship at Novartis (Basel) and a tenure-track appointment at TUM since 2018. Her work emphasizes genomic editing of T cells to study gene function and improve cell therapy safety. Key research themes include CRISPR-mediated gene silencing, T cell receptor engineering, and HIV-host interaction studies. Education: Bachelor/Master in Biochemistry, University of Tübingen PhD, Max Planck Institute of Biochemistry (Martinsried) Postdoc, University of California, San Francisco (UCSF) Her research has yielded breakthroughs in CRISPR applications for T cell therapy, including PD-1 disruption to enhance anti-tumor efficacy and targeted editing of T cell receptors. Awards include a DFG research grant (2016). Notable achievements include the development of CRISPR ribonucleoprotein platforms for primary T cells and insights into metabolic checkpoints in T cell exhaustion. Her lab collaborates globally to translate CRISPR-based discoveries into clinical therapies.

• CRISPR-based Gene Editing
• Immune Cell Engineering
• Cell Therapy Development
• +۳ مورد دیگر

Dr. Teresa Puthussery is an Associate Professor in the School of Optometry & Vision Science at the University of California, Berkeley. Her research focuses on retinal neurobiology and neurophysiology, investigating how visual signals are encoded in healthy retinas and disrupted during degeneration. She uses advanced techniques like patch-clamp electrophysiology, immunohistochemistry, and microscopy to study retinal circuits, neurotransmitter receptors, and ion channels. Dr. Puthussery teaches courses on vision science anatomy, physiology, and problem-based learning, including VISION SCIENCE 206B/C and 260C. Her research explores questions such as how retinal neurons extract motion/spatial details, how photoreceptor mutations cause degeneration, and how inner retinal circuits adapt post-photoreceptor loss. Recent work includes studies on ON-type direction-selective ganglion cells, optogenetic therapy for vision restoration, and calcium dynamics in foveal ganglion cells post-degeneration. She collaborates on projects involving primate and rodent models, contributing to understanding retinal disease mechanisms and therapeutic targets. Dr. Puthussery’s lab (retinalab.berkeley.edu) emphasizes translational research, bridging basic science and clinical applications. Her work has been published in journals like Nature and Cell Reports , with a focus on retinal degeneration, synaptic plasticity, and optogenetic interventions. She actively participates in training future vision scientists through Berkeley’s Optometry program and oversees GSI affairs as a faculty advisor.

• Retinal Neurobiology
• Neurophysiology
• Retinal Degeneration
• +۳ مورد دیگر

LEE Mong Li is a Professor of Computer Science at the National University of Singapore (NUS) and serves as Director of the NUS Centre for Trusted Internet and Community. She holds a Ph.D., M.Sc., and B.Sc. (First Class Honours) in Computer Science from NUS, where she was awarded the IEEE Singapore Information Technology Gold Medal as the top Computer Science student in 1989. Her academic career includes a visiting fellowship at the University of Wisconsin-Madison (1999) and consultancy with QUIQ USA (2000). Her research spans Data Management, Spatio-temporal Databases, Biomedical Informatics, and Retinal Image Analysis . She has pioneered work in data cleaning, data fusion, and analysis of semistructured data, with applications in social media analytics and healthcare. Her recent publications demonstrate strong interdisciplinary focus, particularly in AI-driven medical diagnostics including diabetic retinopathy screening and chronic kidney disease detection from retinal images. She co-authored foundational books on 'Designing Semi-structured Database' and 'Temporal and Spatio-Temporal Data Mining'. Her 150+ publications in major database conferences and journals reflect leadership in both theoretical and applied research. Recent work shows significant emphasis on Medical AI applications (retinal analysis, kidney disease prediction) Temporal fact verification systems Misinformation detection in multimodal environments Privacy challenges in large language models Key honors include: Singapore's President Technology Award (2014) for co-inventing an AI system screening eye conditions IEEE Singapore Information Technology Gold Medal (1989) She actively contributes to government-funded multidisciplinary projects building practical deployable systems. Her leadership extends to program committees of prestigious database conferences and directing the NUS Centre for Trusted Internet and Community. She teaches BT5110 Data Management and Warehousing and has co-developed an AI system for diabetic retinopathy screening deployed in Singapore's national teleophthalmology program.

• Data Management
• Data Cleaning
• Data Fusion
• +۵ مورد دیگر

Ignacio Provencio is a Professor of Biology at the University of Virginia. His research focuses on melanopsin-based photoreception and its role in non-visual light responses, including circadian rhythm regulation, fear modulation, and glaucoma pathophysiology. His lab investigates melanopsin signaling pathways and their broader implications for vertebrate physiology. Education: B.A., Swarthmore College, 1987 Ph.D., University of Virginia, 1996 Postdoctoral Research, Uniformed Services University, 1996–1999 Key research interests include: Melanopsin phototransduction mechanisms Role of intrinsically photosensitive retinal ganglion cells (ipRGCs) in non-image-forming vision Impact of light on circadian rhythms and neurodegenerative diseases like glaucoma Light’s influence on fear behavior and weight regulation Recent work highlights: ipRGC survival in glaucoma models Melanopsin’s role in weight loss under dietary challenges Clinical applications of melanopsin-based light therapy His research spans in vivo and in vitro studies, integrating molecular, cellular, and behavioral approaches to understand light’s multifaceted effects on physiology.

• Circadian Rhythms
• Neuroscience
• Photobiology
• +۳ مورد دیگر

Professor Emanuele (Manuel) Trucco is the NRP Chair of Computational Vision in the Department of Computing, School of Science and Engineering, at the University of Dundee. He holds additional roles as an Honorary Clinical Researcher at NHS Tayside and formerly served as an Adjunct Professor at the Chinese Academy of Sciences from 2018 to 2021. He earned his MSc and PhD in Electronic Engineering from the University of Genoa, Italy, in 1984 and 1990, respectively. His research focuses on medical image and data analysis, particularly in retinal imaging, using machine and deep learning techniques. He is co-director of VAMPIRE, a major international initiative in retinal image analysis, which supports biomarker studies in cardiovascular disease, diabetes, dementia, and neurodegenerative disorders. His recent work includes AI-driven tools for predicting dementia from brain scans and cardiovascular risk from retinal images. The latest publications reflect strong trends in applying deep learning to retinal and brain imaging for early disease detection, with themes centered on AI in healthcare, precision medicine, and non-invasive diagnostics. FRSA (Fellow of the Royal Society of Arts) FIAPR (Fellow of the International Association for Pattern Recognition) Professor Trucco has led and co-led significant research projects funded by EPSRC, NIHR, and EU programs. He has supervised PhD students through industry-sponsored studentships (e.g., OPTOS, NIDEK, Toshiba) and collaborated with institutions such as the Universities of Edinburgh and Liverpool. His research is supported by extensive industrial partnerships including Canon Medical, Epipole plc, and NIDEK. He is a key member of the UK Biobank Eye and Vision Consortium and co-director of the VAMPIRE initiative, a collaborative effort between the Universities of Dundee and Edinburgh focused on retinal image analysis. His work also involves participation in major research networks such as the Academic Health Science Partnership in Tayside.

• Computer Vision
• Medical Image Analysis
• Retinal Image Analysis
• +۷ مورد دیگر

Karl Farrow is a Senior Lecturer at the Faculty of Sciences , KU Leuven , affiliated with the Department of Biology and the Animal Physiology and Neurobiology unit. He is also a member of the VIB-KU Leuven Center for Neuro Electronics Research Flanders (NERF) and the KU Leuven Brain Institute . Dr. Farrow's research focuses on neurobiology and visual processing , particularly the role of retinal ganglion cells and neural circuits in the superior colliculus . His work explores direction selectivity, motion perception, and adaptive mechanisms in visual systems under varying ambient conditions. His recent projects include dissecting the neural basis of threat responses in the superior colliculus, studying evolutionary influences on innate behavior circuits, and developing tools like a single-objective light sheet microscope for 3D tissue analysis. Collaborative efforts involve synaptic transmission studies in amyloid-beta precursor protein interactions.

• Neuroscience
• Neurobiology
• Retina
• +۴ مورد دیگر

David R. Williams is the William G. Allyn Professor of Medical Optics at the University of Rochester's Institute of Optics. He holds joint appointments in Ophthalmology, Biomedical Engineering, and Brain & Cognitive Sciences. His research focuses on advancing retinal imaging techniques, particularly using adaptive optics, to study vision mechanisms and disorders. Williams directs the Center for Visual Science, an interdisciplinary initiative with over 40 faculty members. Education: B.S. from Denison University (1975), Ph.D. from University of California, San Diego (1979), postdoctoral fellowship at Bell Labs (1980). Research Interests: Adaptive optics for high-resolution retinal imaging Retinal physiology and photoreceptor function Optogenetic therapies for vision restoration Pathological mechanisms in macular diseases Publications Highlight: His work spans foundational studies in retinal ganglion cells, optogenetic therapies, and innovations in adaptive optics systems. Recent trends focus on in vivo imaging of photoreceptors and neural activity restoration. Scientific Awards: Champalimaud Vision Award (2012) National Academy of Sciences Membership (2014) David F. Weeks Award (2020) Advising & Grants: As director of the Center for Visual Science, he oversees interdisciplinary grants and mentorship in vision science. His lab collaborates with leading institutions globally to advance translational research in ophthalmology and neurobiology. Labs/Teams: Core leader of the Center for Visual Science, with teams specializing in adaptive optics, retinal imaging, and optogenetic therapies.

• Medical Optics
• Vision Science
• Adaptive Optics Technology
• +۴ مورد دیگر

Maarten De Vos is a Professor at the Department of Electrical Engineering (ESAT) , KU Leuven , with dual appointments in the Faculty of Medicine and Faculty of Engineering Science . He leads interdisciplinary research at the intersection of artificial intelligence and biomedical signal processing.

• Artificial Intelligence
• Biomedical Signal Processing
• Sleep Research
• +۴ مورد دیگر