CSF Dynamics Professors and Supervisors | ApplySharif

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Edward S. AhnView profile

Professor

Mayo Clinic College of Medicine and ScienceUnited States

Edward S. Ahn, M.D., is a Professor of Neurosurgery and Pediatrics at Mayo Clinic in Rochester, Minnesota. As a pediatric neurosurgeon, he specializes in minimally invasive techniques for craniosynostosis, fetal surgery for myelomeningocele, and management of pediatric neurovascular disorders like arteriovenous malformations and moyamoya disease. Education: B.A. in Biology and East Asian Studies, Harvard University (1999) M.D., New York University School of Medicine (2000) Internship in General Surgery, University of Maryland Medical Center (2001) Residency in Neurosurgery, University of Maryland Medical Center (2006) Fellowship in Pediatric Neurosurgery, Children’s Hospital (2007) Dr. Ahn’s research focuses on improving surgical outcomes for children with neurosurgical conditions, including craniosynostosis , hydrocephalus , and Chiari malformation . He pioneered image-based craniometric diagnostics for early craniosynostosis detection and explores telehealth applications for neonatal cranial screening. His recent work analyzes machine learning integration in surgical diagnostics. His publications span pediatric neurosurgical outcomes , fetal interventions , and vascular anomaly management . Dr. Ahn serves on editorial boards for Journal of Neurosurgery: Pediatrics and Child's Nervous System , and has received multiple Top Doctor recognitions since 2011. He also contributes to surgical education as Director of Neurosurgical Medical Student Education at Johns Hopkins University (2013–2014).

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Thomas HeldtView profile

Associate Professor

Massachusetts Institute of TechnologyUnited States

Thomas Heldt is Associate Professor of Electrical and Biomedical Engineering in the Department of Electrical Engineering and Computer Science at MIT, and a Principal Investigator at MIT's Research Laboratory of Electronics. He leads the Integrative Neuromonitoring and Critical Care Informatics Group and serves as Associate Director of the Institute for Medical Engineering and Science. Research focuses on: Noninvasive intracranial pressure monitoring Computational models of cerebrovascular dynamics Sepsis detection algorithms Wearable physiological monitoring Clinical decision support systems Recent publications (2022-2024) demonstrate advances in hemodynamic modeling, diagnostic algorithms for critical care, and AI applications for physiological monitoring. Key innovations include open cranium models for intracranial hypertension studies, deep learning frameworks for fatigue assessment, and mobile-based neurocognitive tracking. Professor Heldt collaborates with Boston Children's Hospital, Beth Israel Deaconess Medical Center, and Boston Medical Center to translate research into clinical practice. His work has been recognized through the W.M. Keck Career Development Professorship and IEEE EMBS Distinguished Lectureship.

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Sarah A. StanleyView profile

Associate Professor

University of California, BerkeleyUnited States

Sarah A. Stanley is an Associate Professor in the Department of Immunology and Molecular Medicine at the School of Public Health. Her research focuses on understanding immune responses to Mycobacterium tuberculosis (Mtb), a pathogen responsible for significant global mortality. Her work addresses why natural immunity often fails to eradicate Mtb infections, exploring both host immune mechanisms and bacterial virulence strategies. The Stanley Lab employs a multidisciplinary approach, including bacterial/host genetics, microscopy, chemical biology, and proteomics to dissect host-pathogen interactions. Research interests include host-derived metabolites’ role in macrophage antimicrobial activity, Th17 immunity, bacterial nanocompartments as oxidative stress defenses, and human genetic polymorphisms influencing tuberculosis outcomes. Current projects investigate how interferon-γ-independent pathways and GM-CSF activation of HIF-1α modulate immunity, alongside bacterial strategies to evade host defenses. The lab also develops mucosal vaccination strategies using cyclic dinucleotide adjuvants to enhance T cell responses. Publications emphasize mechanisms of Mtb persistence, host immune evasion, and translational approaches to vaccine/therapeutic design. The lab’s long-term goals include identifying novel targets for therapies and vaccines to combat tuberculosis, leveraging insights from host-pathogen biology.

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Kevin P. KautView profile

Professor

University of AkronUnited States

Kevin P. Kaut is a Professor of Psychology at the University of Akron, jointly affiliated with the Biology department. He holds academic leadership roles as Chair of the Institutional Animal Care and Use Committee (IACUC) and contributor to the University of Akron Research Vivarium (UARV). His academic journey includes a Bachelor's in Psychology with Biology coursework, a Master’s in School Psychology, and a PhD in Biomedical Science (Neuroscience) from Kent State University and NEOMED. Dr. Kaut’s teaching focuses on Biological Psychology, Psychopharmacology, and Neuroscience, with specializations in neuroanatomy and behavioral neuroscience. His research spans human and animal behavior, neuropathology, and ethical issues in medical decision-making. Key areas include Chiari malformation’s impact on work and health, animal welfare, and public interest neuroscience (e.g., capital punishment ethics). He has advised numerous students across Psychology and Biology, many advancing to careers in medicine, research, and industry. His research facilities include the Auburn Science and Engineering building, where he explores topics like invertebrate learning (e.g., isopod phototaxis), neuroanatomical correlates of consciousness, and age-related cognitive changes. Despite no explicitly listed awards, his work reflects contributions to interdisciplinary neuroscience and ethical medical practice. Advising and grants: Over 25 years, Dr. Kaut has mentored diverse student projects, including studies on traumatic brain injury in athletes, pediatric Chiari malformation outcomes, and zebrafish developmental physiology. His labs emphasize translational research bridging animal models and human neuropsychological challenges.

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Stephen SansomView profile

Associate Professor

University of OxfordUnited Kingdom

Dr. Stephen Sansom serves as Associate Professor and Group Leader of the Computational and Single Cell Genomics Group at the University of Oxford's Kennedy Institute. His work bridges computational biology with immunology to decode inflammatory disease mechanisms through advanced genomic approaches. His academic foundation includes a BSc (Hons) in Biochemistry from the University of Dundee (2001) followed by a DPhil in Developmental Biology through the Wellcome Trust 4-year PhD programme at the University of Cambridge. Postdoctoral research at the Gurdon Institute with Dr. Rick Livesey established his expertise in genomic analysis of neural development. Dr. Sansom's research centers on computational genomics of immune processes, particularly central tolerance mechanisms and inflammatory disorders. His group pioneers single-cell genomic methodologies to dissect cellular heterogeneity in conditions like inflammatory bowel disease, rheumatoid arthritis, and atherosclerosis. Key innovations include developing frameworks for analyzing promiscuous gene expression in thymic epithelia and deconvoluting monocyte responses in immune-mediated diseases through collaborative projects with experimental immunologists. Analysis of his recent publications reveals dominant themes in macrophage biology during atherosclerosis progression, B/T cell dynamics in viral infections (including influenza and COVID-19), and stromal cell contributions to joint destruction in arthritis. His work consistently identifies novel cellular states and molecular networks driving pathogenesis, with strong emphasis on translational relevance for therapeutic targeting. Supported initially by an MRC Career Development Fellowship in Chris Ponting's CGAT program, Dr. Sansom now directs the Computational Genomics team he established at the Kennedy Institute in 2014. His collaborative model integrates computational expertise with wet-lab immunology across multiple Oxford research groups. The Sansom Group operates as the Computational and Single Cell Genomics Group within the Kennedy Institute, maintaining specialized pipelines for high-dimensional genomic data analysis. Current efforts focus on scaling single-cell multi-omics approaches to track immune cell evolution during chronic inflammation and infection.

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Tyler BoldView profile

Associate Professor

University of Minnesota Twin CitiesUnited States

Tyler Bold, MD, PhD serves as Associate Professor in the Division of Infectious Diseases and International Medicine within the Department of Medicine at the University of Minnesota Medical School. He concurrently holds faculty appointments in the Microbiology, Immunology and Cancer Biology (MICaB) Ph.D. Graduate Program and the Department of Medicine, establishing a multidisciplinary research presence spanning infectious disease pathogenesis, immunology, and host-pathogen interactions. His research program integrates clinical infectious disease expertise with fundamental immunological investigation, focusing on tuberculosis host-directed immunotherapy, SARS-CoV-2 pathogenesis mechanisms, and macrophage biology in atherosclerosis. Key interests include T cell costimulation in granulomatous diseases, viral-microbiome interactions during respiratory infections, and diagnostic innovations for resource-limited settings. His work bridges basic science discovery with translational clinical applications, particularly in immunocompromised populations and complex infectious syndromes. Analysis of his 15 most recent publications reveals dominant research trajectories in tuberculosis immunology (40% of articles), SARS-CoV-2 pathogenesis and therapeutics (35%), and atherosclerosis immunometabolism (15%), with emerging work on fungal infections in hematologic malignancies. The publications demonstrate consistent use of advanced techniques including single-cell resolution analysis, structural biology, and randomized clinical trials, reflecting both mechanistic depth and clinical relevance across infectious disease subspecialties.

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Ting DuView profile

Assistant Professor

University of RochesterUnited States

Ting Du, M.D., Ph.D., is an Assistant Professor in the Department of Neurology at the University of Rochester Medical Center's School of Medicine and Dentistry. She leads the Du Lab, focusing on brain fluid homeostasis and its role in neurological diseases. Faculty: Assistant Professor, Department of Neurology Institution: University of Rochester Medical Center Lab: Du Lab Collaborations: Nedergaard Lab, Center for Translational Neuromedicine Research Interests: The Du Lab investigates cerebrospinal fluid (CSF) dynamics, glymphatic system function, and cervical lymphatic vessels in Alzheimer's disease, hydrocephalus, and traumatic brain injury. Key projects include: Restoring cervical lymphatic function to improve CSF drainage in aging Characterizing the subarachnoid lymphatic-like membrane (SLYM) in trauma Probing choroid plexus regulation in hydrocephalus Publication Trends: Recent work spans Neuroscience , Neurodegeneration , and Biophysics , with emphasis on: Glymphatic dysfunction in Alzheimer's Arterial pulsation-driven CSF flow Aquaporin-4's role in interstitial fluid Machine learning-based flow quantification Lab Affiliations: The Du Lab is part of the Neuroscience Ph.D. Program and Pathology - Cell Biology of Disease program, collaborating with experts in neuroimaging , fluid dynamics , and neurotherapeutics .

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Susan A. GauthierView profile

Professor

Cornell UniversityUnited States

Susan A. Gauthier is Professor of Neuroscience at the Brain and Mind Research Institute, Professor of Neurology in the Department of Neurology, and Professor of Neurology in Radiology at Weill Cornell Medical College. She serves as Director of Clinical Research at the Judith Jaffe Multiple Sclerosis Center, where she leads a translational research program focused on uncovering the biological mechanisms of multiple sclerosis using advanced quantitative neuroimaging. Dr. Gauthier completed her undergraduate studies at the State University of New York at Buffalo, earned her D.O. from the Philadelphia College of Osteopathic Medicine, and obtained her MPH from Harvard School of Public Health. After completing neurology residency and chief residency at Boston University Medical Center, she was awarded a Clinical Trial Training Fellowship from the National Multiple Sclerosis Society at Brigham and Women's Hospital. Dr. Gauthier's research focuses on developing imaging biomarkers to track inflammation, demyelination, and clinical disability in multiple sclerosis. Her work spans quantitative susceptibility mapping (QSM), TSPO-PET imaging, brain connectivity analysis, and artificial intelligence applications in neuroimaging. She has made significant contributions to understanding chronic active lesions, paramagnetic rim lesions, and their relationship to disability progression in MS. Analysis of Dr. Gauthier's recent publications (2022-2025) reveals a strong focus on quantitative neuroimaging biomarkers for multiple sclerosis. Her work increasingly integrates advanced computational methods including artificial intelligence and machine learning to analyze structural and functional connectivity. A key theme across her recent work is the validation of imaging techniques against pathological findings, particularly regarding chronic active lesions and iron deposition. She has also contributed to several consensus statements that aim to translate imaging research into clinical practice for MS patients. Sylvia Lawry Fellowship in Clinical Trials, National Multiple Sclerosis Society (2002) Dr. Gauthier has served as Principal Investigator on multiple NIH and National Multiple Sclerosis Society grants, including studies on multi-scale imaging assessment of cognitive impairment in MS, quantification of innate immune activity within chronic lesions, and establishing the clinical relevance of chronic active MS lesions. She has built the MS Center's research infrastructure at Weill Cornell and forged strong collaborations with the Department of Radiology. As a dedicated mentor, she has trained numerous students, residents, fellows, and junior faculty who have gone on to academic and clinical leadership positions. Dr. Gauthier leads a research team within the Judith Jaffe Multiple Sclerosis Center that collaborates closely with the Department of Radiology at Weill Cornell. She serves on the Steering and Executive Committees of the North American Imaging in Multiple Sclerosis (NAIMS) Cooperative, which brings together experts from multiple institutions to advance imaging research in MS. Her team utilizes advanced MRI techniques including 7T MRI and PET imaging to study MS pathophysiology.

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Fran AweekaView profile

Professor

University of California, San FranciscoUnited States

Fran Aweeka is a Professor and Vice Chair of Research at the Department of Clinical Pharmacy, University of California San Francisco (UCSF) School of Pharmacy . She directs the Drug Research Unit (DRU) and serves as the Pharmacology Core Lead for the UCSF Center for AIDS Research . Her research focuses on pharmacokinetic and pharmacodynamic studies of HIV, malaria, and tuberculosis drugs, particularly in vulnerable populations in Africa and the U.S. She actively contributes to the PharmD degree program as a co-director of the Inquiry component and mentors students in pharmacology and international research. As a clinical pharmacologist with over 25 years of experience, Dr. Aweeka investigates drug interactions in co-infected patients, pharmacokinetics in pregnancy and pediatric populations, and mechanisms of HIV-associated inflammation. Her work includes PI roles on NIH R01 grants and leadership in global health initiatives like seasonal malaria chemoprevention studies in Uganda. The DRU under her direction provides advanced analytical techniques for drug quantification in plasma and target tissues, supporting over 30 NIH studies. Her recent research trends include pharmacokinetic-pharmacodynamic modeling of antimalarial and antiretroviral combinations, microvolume plasma assays , and drug exposure-response relationships in resource-limited settings. Publications from 2021–2025 reflect these areas, with emphasis on pregnancy pharmacokinetics , pediatric dosing , and global health pharmacology . Dr. Aweeka holds a PharmD from UCSF (1985) and a BS in Biological Sciences from USC (1981). She is a licensed pharmacist in California and has completed leadership programs like the Mentor Development Program . Her lab supports collaborative projects across national and international institutions, focusing on drug quantification in plasma, dried blood spots, and target cells.

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Anna LeonardView profile

Associate Professor

The University of AdelaideAustralia

Associate Professor Anna Leonard is part of the School of Biomedicine at the University of Adelaide, within the Faculty of Health and Medical Sciences. She leads the Spinal Cord Injury Research Group, focusing on understanding secondary injury processes post-SCI, particularly oedema, haemorrhage, and neuroinflammation. Her research utilizes porcine and rodent models to explore translational therapies and chronic outcomes like cognition and neuropathic pain. Dr. Leonard completed her PhD in 2012 (awarded Dean’s commendation and University Doctoral Medal) and has held postdoctoral fellowships at the University of Adelaide and the University of Alabama at Birmingham. She currently supervises research students at all levels and holds national recognition in neurotrauma research. Educational background: PhD (2012, University of Adelaide), postdoctoral training at UoA and UAB. Research interests include: neuroinflammation, spinal cord trauma mechanisms, neuroprotective interventions, and translational clinical models. Scientific achievements: Developed Australia’s first clinically relevant large-animal spinal cord injury model. Awards include the University Doctoral Medal (2012). Active in mentoring HDR students and grant acquisition. Currently investigates peripheral stimulation therapies, aging effects on SCI recovery, and concomitant brain injury impacts.

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Audrey FuView profile

Associate Professor

Wayne State UniversityUnited States

Audrey Fu is an Associate Professor of Family Medicine and Public Health Sciences and of Molecular Medicine and Genetics at Wayne State University School of Medicine, located at Scott Hall, 540 E. Canfield Street, Detroit, MI 48201. Her interdisciplinary work bridges computational methods with biomedical applications, particularly in genomics and medical imaging fields. Her educational background includes a PhD from the University of Washington (2008), followed by postdoctoral training at the University of Chicago (2008-2014) and a Visiting Postdoctoral Scholar position at Stanford University (2014-2015). This strong foundation in statistics and computational biology has enabled her to develop innovative approaches to complex biomedical data analysis. Dr. Fu specializes in developing statistical methods and algorithms for analyzing high-dimensional biomedical data, with particular expertise in causal network inference using Mendelian randomization, deep learning for single-cell RNA-sequencing data, and methods for identifying disease-relevant cell types through integration of genomic data. Her research group actively practices open science, distributing open-source software packages in R and Python through GitHub and CRAN. Her publication record reveals a clear progression from fundamental statistical methodology development toward increasingly translational biomedical applications. While her earlier work focused on DNA methylation patterns, statistical inference of gene expression noise, and Bayesian clustering methods, her recent publications demonstrate expansion into medical imaging analysis, particularly in space medicine applications and neurological conditions like Chiari malformation. This evolution shows her ability to adapt statistical frameworks to address diverse biomedical challenges. NIH Pathway to Independence Award (K99/R00; 2014-2019) International Society for Bayesian Analysis Travel Award (2010) Dorothy and Leon Gilford Fellowship, Department of Statistics, University of Washington (2003) Dr. Fu is currently accepting new M.S. students for 2025-2026 but not new Ph.D. students. Her NIH K99/R00 award indicates successful transition from postdoctoral research to independent investigator status. Her lab develops multiple open-source software packages including MethylHMM, MRPC, LATE, and rolypoly, reflecting her commitment to making computational tools accessible to the broader research community. Her collaborative work spans multiple institutions and disciplines, from basic molecular biology to clinical applications in ophthalmology and neurosurgery.

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R. Claudio AguilarView profile

Professor

Purdue UniversityUnited States

Dr. R. Claudio Aguilar is a Professor and Assistant Head in the Department of Biological Sciences at Purdue University, where he leads the Aguilar Lab. His research focuses on understanding protein trafficking, membrane transport, and cell polarity establishment, with applications to cancer and developmental diseases. Key areas include the study of Lowe Syndrome and the development of anti-cancer therapies, such as EGF-targeted toxin agents and fibronectin-based targeting strategies. He holds a Ph.D. from the University of Buenos Aires (1996). Research interests include vesicle trafficking, endocytic signaling, and the role of epsin proteins in cancer cell migration and invasion. His lab has pioneered therapeutic approaches against bladder cancer and Lowe Syndrome, leveraging insights from yeast and mammalian cell models. Notable achievements include the design of receptor micro-clustering strategies (patented) and the development of induced pluripotent stem cell models for disease study. Dr. Aguilar has received numerous awards, including the Purdue University Faculty Scholar (2018), Sigma Xi Midcareer Research Award (2017), and multiple travel and mentoring awards. His work spans over 100 publications, with a focus on cellular dynamics, membrane biology, and translational research. He teaches courses in eukaryotic cell biology and supervises undergraduate and graduate research projects. Lab activities include hosting seminars like the Cell Dynamics Series and organizing outreach events such as Science in the Movies nights. Collaborations extend to institutions globally, emphasizing interdisciplinary approaches to cell biology challenges.

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Ross HorneView profile

Senior Lecturer

University of StrathclydeUnited Kingdom

Ross Horne is a Senior Lecturer in the Department of Computer & Information Sciences at the University of Strathclyde, Glasgow, United Kingdom. He is a member of the StrathCyber and Mathematically Structured Programming research groups. Education: PhD (University of Southampton, 2012), BA (Oxford University, 2005) Prior Appointments: Research Fellow at University of Luxembourg (2018-2023), Senior Research Fellow at Nanyang Technological University (2015-2018), Associate Professor at Kazakh-British Technical University (2012-2015) Research Interests: Dr. Horne's work focuses on security and privacy protocols for digital systems, particularly addressing threats in payment technologies, ePassports, and decentralized identity management (e.g., Solid protocol). His theoretical contributions bridge concurrency theory, proof theory, and logic through applications to security verification and process calculi. Developed formal models for unlinkability in EMV payment protocols Created intuitionistic logical frameworks for process equivalence Explored graphical proof systems beyond formulaic representations Investigated legal-compliant AI for space systems (CubeSat anomaly detection) Scientific Contributions: He has published extensively in top venues including ACM CCS, IEEE CSF, LICS, and CONCUR. His 2017 CONCUR best paper introduced intuitionistic characterizations of bisimilarity. Principal Investigator for EU COST Action on Distributed Knowledge Graphs Co-developed privacy models adopted in Luxembourg parliamentary responses Advising: Currently accepting PhD students with strong mathematical and computer science skills for research in security/privacy of emerging systems. Former student Semen Yurkov completed a thesis on privacy-preserving smart card payments. Interdisciplinary Work: Collaborates with space lawyers through the Interdisciplinary Master Program in Space Resources. Projects include AI for CubeSat reliability and legal-compliant software certification frameworks.

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Raag AiranView profile

Assistant Professor

Stanford UniversityUnited States

Raag Airan is an Assistant Professor of Radiology (Neuroimaging and Neurointervention) and by courtesy, Materials Science and Engineering at Stanford University. His work bridges Noninvasive nervous system manipulation Ultrasound and nanoparticle engineering Theranostic applications Behavioral neuroscience His research focuses on Ultrasound-mediated drug delivery systems Neuroimaging of functional connectivity Neuromodulation for chronic pain and psychiatric disorders Glymphatic system modulation Recent publications highlight advancements in Acoustically activatable liposomes Sex-based pharmacological responses Algorithmic psychiatry frameworks Stem cell therapy imaging Deep learning-enhanced ultrasound

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Zeynep Erson OmayView profile

Assistant Professor

Yale UniversityUnited States

Dr. Zeynep Erson Omay serves as an Assistant Professor in the Department of Neurosurgery and Biomedical Informatics & Data Science at Yale School of Medicine. Her work bridges computational biology with neurosurgical oncology, focusing on precision medicine applications for brain tumors, with particular emphasis on understanding tumor heterogeneity and molecular mechanisms of CNS tumors. Dr. Erson Omay's educational background includes: PhD in Computer Science from Case Western Reserve University (2011) MS in Computer Science from Bilkent University (2005) BS in Computer Science from Bilkent University (2003) Her research focuses on computational analysis of multi-omic datasets to understand tumor heterogeneity, particularly in central nervous system tumors. Dr. Erson Omay specializes in genomic, transcriptomic, and epigenetic profiling of brain tumors, with emphasis on meningiomas, glioblastomas, and rare CNS tumor subtypes. She leads the Erson Lab, which develops bioinformatics approaches to study large datasets and reveal molecular mechanisms in tumor formation, progression, and clinical outlier subgroups. Her work in precision medicine aims to decipher the molecular architecture of individual tumors to guide personalized treatment approaches, with significant contributions to understanding tumor ecosystems and evolutionary patterns in brain cancers. Dr. Erson Omay's scientific contributions span neuro-oncology, computational biology, and precision medicine, with a strong emphasis on translating genomic findings into clinical applications. Her publications demonstrate consistent innovation in applying computational methods to complex neurosurgical problems, with particular focus on tumor heterogeneity, molecular classification, and racial disparities in tumor genomics. Her notable scientific awards include: 10x Genomics 2021 Pilot Award (2022) Mission Bio Tapestri Grant (2022) Case Western Reserve University, Research ShowCASE-Best Poster Award (2007) Dr. Erson Omay actively mentors students and researchers at various levels, including undergraduate students, graduate students, postdocs, and postgraduate associates. She collaborates extensively within Yale's neurosurgery department and across disciplines to advance computational approaches to brain tumor research. Her work is supported by various grants that enable the development of novel bioinformatics platforms for tumor genomic characterization. She leads the Erson Lab, which focuses on three major research areas: Tumor Ecosystem (studying interactions among tumor and immune cells), Tumor Evolution and Heterogeneity (understanding temporal and spatial tumor evolution), and Precision Medicine (applying genomic techniques to personalize brain tumor treatment). The lab employs diverse omics technologies to explore brain tumor biology and develop computational methods for precision medicine applications.

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