جست‌وجوی استاد و پژوهشگر

Alexis Battleمشاهده پروفایل

دانشیار

• Genomics
• Machine Learning
• Computational Biology
• +۳ مورد دیگر

Alexis Battle is an Associate Professor at Johns Hopkins University with appointments in Biomedical Engineering , Computer Science , and Genetic Medicine (secondary). She directs the Malone Center for Engineering in Healthcare and serves as Deputy Director of the Data Science and AI Institute . Educated at Stanford University (PhD in Computer Science, 2013), Battle transitioned to academia after leadership roles at Google. Research Focus: Battle’s work bridges genomics and machine learning , emphasizing the impact of genetic variation on human health. Her lab develops tools like Watershed to predict functional effects of rare variants, aiming to enhance rare disease diagnosis. Key themes include non-coding DNA analysis , personalized genomics , and systems biology , with applications in cardiovascular disease and neurodegenerative disorders . Publications & Awards: Over 60 peer-reviewed articles in journals like Nature , Science , and Genome Biology , with recent emphasis on single-cell transcriptomics , multiomics integration , and telomere biology . Recipient of the President’s Frontier Award (2022), Microsoft Investigator Fellowship (2019), and Searle Scholar (2016). Scientific Awards: 2022 President’s Frontier Award 2019 Microsoft Investigator Fellowship 2019 Johns Hopkins Discovery Award 2017 Johns Hopkins Catalyst Award 2016 Searle Scholar Advising & Funding: Mentors 11 PhD students, 3 undergraduates, and postdoctoral fellows. Her research is funded by NIH, Searle Scholars, and institutional grants. The Battle Lab collaborates on projects like the GTEx Consortium , focusing on gene regulation and clinical genomics .

Jacques Archambaultمشاهده پروفایل

استاد

• Human Papillomavirus (HPV)
• Polyomavirus
• Viral DNA Replication
• +۴ مورد دیگر

Dr. Jacques Archambault is a Professor in the Department of Microbiology and Immunology at McGill University , and an associate member of the Division of Experimental Medicine since 2016. His research focuses on the molecular biology and pathogenesis of human papillomaviruses (HPVs) and polyomaviruses (HPyVs), with an emphasis on their replication mechanisms as episomes in host cells. The Archambault laboratory employs functional genomics, proteomics, and chemical biology approaches to identify cellular pathways exploited by these viruses and develop high-throughput assays for screening small molecule inhibitors of viral replication. Analysis of his recent publications reveals a strong focus on HPV and HPyV replication machinery, including studies on the E1 helicase, UAF1-USP1 interactions, and structural characterization of viral proteins involved in DNA replication. His work bridges virology, oncology, and drug discovery, particularly targeting oncogenic HPV types implicated in anogenital and oropharyngeal cancers, as well as HPyVs like BKPyV and JCPyV that cause pathologies in immunosuppressed patients. Current efforts in the lab aim to elucidate the molecular mechanisms by which HPVs and HPyVs replicate their genomes and to develop antiviral therapies targeting these processes. Techniques such as fluorescence anisotropy, NMR spectroscopy, and crystallography are frequently employed to study protein-DNA and protein-protein interactions critical to viral replication.

Maria Timofeevaمشاهده پروفایل

دانشیار

• Cancer Epidemiology
• Genetic Risk Factors
• Colorectal Cancer
• +۷ مورد دیگر

Maria Timofeeva is an Associate Professor in the Epidemiology, Biostatistics and Biodemography (EBB) department at the University of Southern Denmark (SDU), with additional affiliation at the Danish Institute for Advanced Study (DIAS). She holds an Honorary Fellow position at the University of Edinburgh since December 2019. Her research focuses on cancer prevention and prediction, particularly studying the effects of environmental and genetic factors on cancer risk and progression. Dr. Timofeeva earned her Dr.sc.hum in Epidemiology from Heidelberg University (2005-2009), with a dissertation on genetic polymorphisms as risk factors for early onset lung cancer. Prior to her current position, she worked as a Statistical Geneticist at the University of Edinburgh (2013-2019) and as a Postdoctoral Fellow at the International Agency for Research on Cancer (2009-2013). Her research interests center around understanding the genetics of cancer risk through multi-omic analysis. She leads several significant projects, including the Interdisciplinary Project on Adherence to Colorectal Cancer Screening, meta-analysis of factors associated with false-positive and false-negative FOBT results (registered in PROSPERO ID: CRD42022315767), and the COlorectal Cancer screening Among RElatives (CoCARE) twin-family study in Denmark. Her methodological expertise spans observational epidemiological studies (case-control, population-based cohort studies, twin studies), meta-analysis, umbrella reviews, and multi-omics data analysis. Analysis of her recent publications reveals a strong focus on colorectal cancer genetics, with particular emphasis on genome-wide association studies, Mendelian randomization approaches, and trans-ancestry analyses. Her work frequently leverages large datasets including the UK Biobank and international consortia, with applications in cancer risk prediction and understanding gene-environment interactions. Dr. Timofeeva has an extensive publication record with 73 publications listed in her profile. Her research has been cited across multiple platforms, with mentions in news outlets, social media, and academic readership platforms like Mendeley. She is actively involved in academic service, serving as a peer reviewer for journals including BMC Cancer and Scientific Reports, and participating in conferences such as the 26th Nordic Congress of Gerontology. She also serves on evaluation committees, including with the World Cancer Research Fund International (April-May 2024). Her teaching activities include courses on evidence-based drug utilization and biostatistics, as well as supervision of research projects on gene expression in twins. Dr. Timofeeva has engaged with the public through media contributions, including an interview titled 'Jeg vil forstå, hvorfor vi får kræft' (November 15, 2021), where she discussed understanding why we get cancer.

Hongfu Sunمشاهده پروفایل

مدرس ارشد

• Biomedical Engineering
• Deep Learning
• Magnetic Resonance Imaging (MRI)
• +۳ مورد دیگر

Hongfu Sun is a Senior Lecturer at the School of Engineering, University of Newcastle. His research focuses on innovating MRI mechanisms for clinical and research applications, particularly in Quantitative Susceptibility Mapping (QSM). He is internationally recognized as a pioneer in QSM and integrates MR physics, signal processing, and AI for medical imaging advancements. Sun holds a Ph.D. in Biomedical Engineering from the University of Alberta, Canada. Professional Experience: Senior Lecturer at University of Newcastle (current) ARC DECRA Research Fellow at University of Queensland (2021–2023) Postdoctoral Researcher at University of Calgary (2015–2019) Research Interests: Focuses on MRI innovation, including QSM, deep learning for medical imaging, and AI-driven reconstruction techniques. His work addresses challenges like sub-millimeter resolution and artifact reduction in MRI. Recent projects involve generative AI models for MRI analysis and accelerated quantitative imaging methods. Grants and Funding: AU$1.69M in grants, including a 2021 ARC DECRA for microscopic MRI techniques 2024 NHMRC grant for Parkinson’s disease MRI diagnostics Teaching: Course coordinator for Medical Imaging and Signal Processing at University of Newcastle Focus on biomedical imaging, computational methods, and signal analysis Labs/Teams: Leads research in MRI innovation, collaborating on QSM, deep learning applications, and translational imaging techniques. Active in interdisciplinary projects combining physics, AI, and clinical medicine.

• Signal Processing
• Communications
• Bioimaging
• +۵ مورد دیگر

Amir Asif is a Professor at the Lassonde School of Engineering, York University, and concurrently serves as Vice President, Research and Innovation. His academic leadership roles include Dean of the Gina Cody School of Engineering and Computer Science at Concordia University (2014-2020). He specializes in signal processing, communications, and their applications in healthcare, power grids, and distributed systems. Asif holds a PhD from Carnegie Mellon University and a Harvard certification in executive leadership. Education: PhD, Electrical and Computer Engineering, Carnegie Mellon University (1996) MS, Electrical and Computer Engineering, Carnegie Mellon University (1993) BSc, University of Engineering and Technology Lahore (1990) Harvard Certificate in Leadership for Senior Executives (2018) Research Interests: Asif’s work spans signal processing for medical imaging (e.g., ultrasound elastography), smart grid optimization, and cybersecurity in power systems. His recent publications address hydrogen energy systems, EMG-based gesture recognition, and resilient control frameworks against cyberattacks. Grants & Leadership: He leads NSERC-funded projects on federated learning and resilient algorithms. He chairs the Ontario Council of University Research and serves on TRIUMF Innovations and the Richmond Hill Board of Trade. His grants include SSHRC funding for equity initiatives and NSERC support for distributed signal processing. Teaching & Mentorship: Asif has supervised over a dozen graduate students and taught courses like Digital Communications and Statistical Signal Processing Theory. Notable advisees include Arash Mohammadi (PhD, 2014) and Nick Sajadi (PhD, 2017).

• Chronic Obstructive Pulmonary Disease (COPD)
• Respiratory Medicine
• Asthma
• +۴ مورد دیگر

Per Sigvald Bakke is a Professor at the University of Bergen's Faculty of Medicine, Department of Clinical Science, with extensive expertise in respiratory medicine. His research primarily focuses on Chronic Obstructive Pulmonary Disease (COPD), asthma, and related pulmonary conditions, with significant contributions to understanding disease mechanisms, clinical phenotyping, and epidemiology. Dr. Bakke's research interests span COPD phenotyping, asthma heterogeneity, genomics of respiratory diseases, pulmonary function testing, and clinical epidemiology. His work frequently involves large-scale cohort studies and international collaborations, particularly through the U-BIOPRED consortium. His research has significantly advanced understanding of COPD progression, exacerbation risk factors, and the relationship between respiratory diseases and systemic conditions like metabolic syndrome. His publication record demonstrates consistent contributions to respiratory medicine, with recent work focusing on multi-omics approaches to disease phenotyping, genetic determinants of lung function, and clinical management of COPD. His research often bridges basic science with clinical application, addressing critical questions in respiratory disease management and patient outcomes. Dr. Bakke has been instrumental in numerous international collaborative studies including the ECLIPSE cohort, U-BIOPRED, and various genome-wide association studies examining COPD and asthma. His work has contributed to clinical guidelines and improved understanding of respiratory disease mechanisms across diverse populations.

Amir Shmuelمشاهده پروفایل

استاد

• Neuroimaging
• fMRI
• Visual Perception
• +۵ مورد دیگر

Amir Shmuel is a Professor at McGill University's Faculty of Medicine, holding appointments in the Department of Neurology and Neurosurgery, Department of Biomedical Engineering, and Department of Physiology. He serves as Director of the Brain Imaging Signals Lab and Core Faculty at the McConnell Brain Imaging Centre of the Montreal Neurological Institute. His leadership includes chairing the 2018 International Society for Brain Connectivity conference and securing an $18.7M Canada Foundation for Innovation grant for Quebec's first large-bore 7 Tesla MRI scanner. Dr. Shmuel's research focuses on understanding neuronal mechanisms underlying functional brain imaging signals and visual information processing. His integrative approach combines fMRI, optical imaging, multi-channel neurophysiological recordings, and optogenetics across multiple spatial and temporal scales. Current research priorities include resting-state functional connectivity mechanisms, cortical lamina-resolved neurophysiology, and computational modeling of brain signals. His lab emphasizes parallel model development with experimental data acquisition. Recent publications demonstrate strong trends in multimodal neuroimaging integration, with emphasis on high-resolution fMRI techniques (especially 7T applications), resting-state connectivity analysis across species, and computational modeling of neurovascular coupling. Key subfields include laminar-specific activity mapping, artifact detection in medical imaging using deep learning, and cross-species functional connectivity frameworks. Dr. Shmuel's research is currently funded by the Canadian Institutes of Health Research (CIHR), Natural Sciences and Engineering Research Council of Canada (NSERC), and the US Department of Defense. His lab maintains active collaborations through initiatives like the International Society for Brain Connectivity and the PRIME-DE database consortium. Operating within the Brain Imaging Signals Lab at the Montreal Neurological Institute, Shmuel's team develops and applies advanced multimodal techniques including simultaneous fMRI-electrophysiology, voltage-sensitive dye imaging, and computational modeling frameworks. The lab maintains strong ties with the McConnell Brain Imaging Centre and participates in major open-science initiatives including the Tanenbaum Open Science Institute.

Chris Spencerمشاهده پروفایل

پژوهشگر ارشد

• Statistical Genetics
• Genetic Epidemiology
• Infectious Diseases
• +۳ مورد دیگر

Chris Spencer is a Wellcome Trust Career Development Fellow at the Nuffield Department of Medicine, University of Oxford. His research focuses on statistical genetics, with emphasis on African population genetics, malaria susceptibility (via the MalariaGEN consortium), and stratified medicine applications in hepatitis C (STOP-HCV consortium). He develops methodologies to analyze genetic determinants of host-parasite interactions and their role in disease prevention and treatment. His work explores infectious disease impacts on human immune physiology through natural selection, aiming to translate genetic insights into clinical strategies. Recent studies include structural variation in malaria resistance genes and polymorphisms linked to pneumococcal bacteremia in Kenyan children. His computational tools, such as FINEMAP, advance variable selection in genome-wide association studies. Publications span malaria genetics, viral resistance, and population admixture, reflecting a multidisciplinary approach to genomic medicine. Collaborations with global consortia highlight his commitment to addressing global health challenges through genetics.

• MR Imaging
• MR Elastography
• Low-field MRI
• +۵ مورد دیگر

Dr. Najat Salameh is a Senior Lecturer at the University of Aberdeen's School of Medicine, Medical Sciences and Nutrition, where she leads the Medical Imaging Technologies theme at the Institute of Medical Sciences. She co-founded the Center for Adaptable MRI Technology (AMT Center) in 2017 and relocated it to Aberdeen in April 2023, establishing what will become the largest low-field MR technology platform with approximately 900 m 2 of lab and office space at the Foresterhill campus. Her educational background includes: PhD in Biomedical Sciences from Université Catholique de Louvain (2009) DEA (Master) in Health Sciences from Université Catholique de Louvain (2008) Diplôme ès Sciences Physiques from University of Geneva (2005) Dr. Salameh has developed over 20+ years of expertise in MR imaging, positioning herself at the interface between Physics and Medicine. Her research spans from fundamental physics to microsurgery in rodents, with specialization in MR elastography for liver and brain applications, thermometry, metabolic imaging, and low magnetic field MRI systems. She designs, implements, and validates imaging protocols across magnetic fields ranging from 0.0065 T to 9.4 T, with a strong focus on making MRI technology more accessible and adaptable for clinical use. Her work bridges the gap between advanced imaging technology development and practical clinical applications. Her recent publication portfolio reveals a clear trajectory toward practical implementation of low-field MRI systems, with emphasis on hardware innovation, deep learning applications for image reconstruction, and clinical translation of MR elastography techniques. The research demonstrates significant progress in making quantitative tissue characterization more accessible through cost-effective imaging solutions. Her scientific recognition includes: V-LF-Spiro3D grant from Research Councils UK (2023-2027) for low-field 3D magnetic resonance spirometry Interventional and susceptibility artifact-free MR Imaging award from Swiss National Science Foundation (2017-2021) In vivo detection and imaging of free radicals using the Overhauser effect grant from Swiss National Science Foundation (2013-2014) MR elastography for chronic liver diseases award from Fonds pour la formation à la recherche dans l'industrie et l'agriculture (2005-2009) As co-founder and leader of the AMT Center, Dr. Salameh collaborates with Dr. Sarracanie, Dr. Broche, and Dr. Ross on developing the next generation of low-field MRI technology. Her center is currently establishing a major research infrastructure with three fixed low-field scanners and two Field-Cycling whole-body systems in a newly refurbished facility, positioning Aberdeen as a global hub for adaptable MRI technology development. The Center for Adaptable MRI Technology represents a significant investment in accessible imaging technology, with the relocated platform forming what will be the largest low-field MR technology facility globally. This initiative supports research across multiple clinical applications while addressing the need for more affordable and widely deployable imaging solutions.

Dwight E. Stambolianمشاهده پروفایل

استاد

• Age-related macular degeneration (AMD) genetics
• Glaucoma genetics
• Refractive error genetics
• +۶ مورد دیگر

Dwight E. Stambolian, MD/PhD , holds the William C. Frayer Professorship in Ophthalmology at the University of Pennsylvania School of Medicine. He is a Full Member of the Institute for Human Gene Therapy and serves as an Attending Physician at Penn Presbyterian Medical Center and the Hospital of the University of Pennsylvania. Education: BA (Lycoming College, 1971), MD (SUNY Downstate, 1976), PhD in Genetics (University of Pennsylvania, 1983) Training: Intern/Resident in Medicine (Long Island Jewish Hospital, 1976-1977); Postdoctoral fellowships in Anatomy and Neurological Science (University of Pennsylvania, 1977-1983); Ophthalmology residency (1983-1986); Clinical/Molecular Genetics fellowship (1986-1988) Research Focus : Dr. Stambolian specializes in the genetics of eye diseases , particularly age-related macular degeneration (AMD) and refractive error. His work spans: Genome-wide association studies (GWAS) for AMD and glaucoma Next-generation sequencing of AMD in African Americans Genetic studies of AMD in the Amish population Whole exome sequencing of refractive error families Zebrafish modeling of eye disease mechanisms Mouse models for microphthalmia Publication Trends : His recent work (2023-2025) emphasizes multiethnic genetic studies , advanced sequencing methodologies , and transcriptomic analysis in AMD. Collaborative studies highlight international consortia involvement and cross-platform validation using bioinformatics. Laboratory : The lab employs bioinformatics , DNA cloning , PCR , in situ hybridization , and zebrafish phenotyping to validate genetic findings. Key personnel include Murthy Chavali , Eric Chen , Debra Dana , and others working on AMD, refractive error, and microphthalmia projects. Technical Expertise : Combines human genetic studies with model organism validation (zebrafish, mice) to bridge clinical observations and molecular mechanisms in eye diseases.

Markus Zimmermannمشاهده پروفایل

پژوهشگر

• Medical Imaging
• Quantitative MRI
• Neuroscience
• +۳ مورد دیگر

Dr. Markus Zimmermann is a researcher at the Institute of Neuroscience and Medicine (INM-4: Physics of Medical Imaging) at the Research Center Jülich. His work focuses on advancing quantitative MRI techniques, particularly in water content mapping, multiparametric imaging, and ultrahigh-field MRI applications. He contributes to developing methods for eddy current characterization, multi-exponential relaxometry, and rapid whole-brain protocols. His research addresses neurological and medical imaging challenges, including cerebral pathologies and neurobiological implications. Key areas of expertise include MRI parameter estimation, medical imaging algorithms, and the integration of advanced imaging techniques for clinical and neuroscience applications. His projects often involve collaborations to validate methodologies using in vivo/ex vivo experiments and super-resolution reconstruction. Dr. Zimmermann’s work aims to enhance diagnostic precision and understanding of brain physiology through innovative MRI technologies.

Mathias Munschauerمشاهده پروفایل

پژوهشگر

• Molecular Virology
• RNA Biology
• Host-Pathogen Interactions
• +۷ مورد دیگر

Mathias Munschauer leads the Department of Molecular Virology at Heidelberg University's Faculty of Medicine, within the Center for Infectious Diseases. His research group focuses on unraveling RNA regulatory mechanisms that govern viral infection outcomes, with emphasis on HCV, HBV, and Dengue virus. His research interests lie at the intersection of RNA biology and virology, particularly in understanding how viral RNA molecules interact with host cell components. The lab employs cutting-edge methodologies including RAP-MS and SHIFTR for RNA interactomics, integrated with functional genomics, single-cell transcriptomics, and AI-driven analysis of high-dimensional data. This systems-level approach enables the identification of host factors and regulatory pathways critical for viral replication and immune evasion. The recent publications highlight a strong trend toward spatially and temporally resolved analysis of RNA-protein interactions across diverse RNA viruses. There is a consistent focus on developing and applying innovative technologies to map host-virus interfaces, with applications in identifying antiviral targets and understanding infection mechanisms. The work spans molecular, cellular, and systems biology, with increasing integration of computational and machine learning approaches. Systems virology RNA-protein interactomics Host-pathogen interactions CRISPR screening Single-cell analysis Antiviral strategies Dr. Munschauer mentors a research team and contributes to the doctoral program in Infectious Diseases. His lab develops and shares novel reagents and methods, fostering collaborative science. While specific grants are not listed, the technological sophistication suggests substantial funding support. The lab operates within a vibrant research environment alongside other virology groups such as AG Bartenschlager and AG Ruggieri. The Munschauer Lab is part of a larger virology and infectious disease research ecosystem at Heidelberg University, collaborating across disciplines to advance understanding of viral pathogenesis. The team actively develops and applies innovative tools for RNA-centric discovery, positioning the group at the forefront of molecular virology.

Avery Bermanمشاهده پروفایل

استادیار

• Medical Physics
• Functional Neuroimaging
• Biomedical Engineering
• +۵ مورد دیگر

Avery Berman is an Assistant Professor in the Department of Physics at Carleton University and a Scientist at the University of Ottawa Institute of Mental Health Research (IMHR) at The Royal. His work focuses on advancing functional MRI (fMRI) techniques for high-resolution imaging of brain activity and physiology, with applications in neuroscience and mental health disorders. PhD in Biomedical Engineering and MSc in Medical Radiation Physics from McGill University Postdoctoral research at Harvard Medical School and the Martinos Center for Biomedical Imaging Research Interests include: High-resolution fMRI at 7 Tesla Biophysical modeling of vascular networks Quantitative biomarkers for oxygen metabolism PET-MRI hybrid imaging systems Neurovascular coupling in mental illness Scientific Awards include: NSERC Canada Graduate Scholarship (Master's) CIHR Canada Graduate Scholarship (Doctoral) CIHR Postdoctoral Fellowship (top 10/600 applicants) NSERC Postdoctoral Fellowship (top Physics section recipient) Research Funding from NSERC, CFI, and institutional support from Carleton University and IMHR. His lab develops the open-source BOLDsωimsuite software for fMRI signal modeling and collaborates with Canada-wide vascular training programs.

Sara Manaمشاهده پروفایل

استاد

• Active Tectonics
• Volcanology
• Geochemistry
• +۳ مورد دیگر

Sara Mana serves as Chairperson of the Department of Geological Sciences at Salem State University, where she teaches courses spanning Dynamic Earth (GLS 100), Volcanology (GLS 346), Field Geology II (GLS 485), and specialized topics like Geology in the Movies (GLS 108) and Forensic Microscopy (GLS 256). Her research integrates field geology with advanced analytical techniques to investigate active tectonic systems. Dr. Mana's research focuses on active tectonics and quantitative analysis in rift environments, particularly the East African Rift. She employs radiogenic isotope geochemistry , incompatible trace element analysis , and high-precision 40 Ar/ 39 Ar geochronology to study magma evolution, basin development, and deformation processes. Her work connects climate-tectonics interactions with ecosystem evolution, utilizing gas geochemistry and remote sensing for regional-scale analysis. Recent publications reveal persistent focus on East African Rift dynamics, with recurring themes of tephrochronology , rift-related magmatism , and paleoanthropological site correlation . Collaborative work spans Costa Rican volcanism, Appalachian metamorphism, and nuclear forensics, demonstrating interdisciplinary reach across geophysics, archaeology, and critical zone science. Dr. Mana has secured significant National Science Foundation funding: PI on $80,157 NSF award (2018-2021, extended to 2023 with $25,712 supplement) for the East African Rift Tephra Database project PI on $12,885 NSF sub-award for Miocene ecosystem research in Kenya External collaborator on $2,671,455 NSF Frontier Research project examining climate-tectonics interactions in the East African Rift She mentors undergraduates through senior research courses (GLS 500/501) and forensic geoscience internships (GLS 499), emphasizing field-based learning and analytical skill development.

Grant Montgomeryمشاهده پروفایل

استاد

• Genetics
• Genomics
• Reproductive Disorders
• +۴ مورد دیگر

Professor Grant Montgomery is a leading academic at the University of Queensland (UQ), serving as Director of the UQ Genome Innovation Hub and Group Leader of the Genomics of Reproductive Disorders at the Institute for Molecular Bioscience (IMB). His primary focus is on understanding the genetic and epigenetic basis of reproductive disorders, particularly endometriosis, through large-scale genomic studies and functional analyses. His work integrates multi-omics data to identify disease mechanisms and develop translational solutions. Research Interests: Genetic and epigenetic regulation of endometrial function Systems genetics approaches to study complex diseases Functional validation of genomic risk variants Development of clinical tools like eQTL/mQTL browsers Multi-omics integration for disease biomarker discovery Recent Articles: Highlighting endometriosis genetics, comorbidity mechanisms, and novel diagnostic approaches. Key themes include genetic risk stratification, epigenetic dysregulation, and translational applications of genomic data. Collaborations: Active partnerships with institutions globally, including University of California, San Francisco, Oxford Endometriosis CaRe Centre, and Monash University. Major consortia include International Endometriosis Genetics Consortium and Reprogen Consortium. Advising & Training: Supervises PhD students focusing on endometrial cell biology, epigenetic regulation, and computational genomics. Provides training opportunities in functional genomics and systems biology. Labs/Teams: Leads a multidisciplinary team with expertise in molecular biology, bioinformatics, and clinical research. Maintains cell culture facilities and single-cell sequencing capabilities.