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Christine KingView profile

Associate Professor

• Engineering Education
• STEM Education
• Active Learning
• +6 more

Dr. Christine King is an Associate Professor of Teaching in the Department of Biomedical Engineering at UC Irvine's Samueli School of Engineering. Her research focuses on innovative pedagogical approaches including active learning, VR clinical immersion, and STEM education reform. She directs the BioENGINE program integrating innovation and entrepreneurship into biomedical education. Education includes: Ph.D. in Biomedical Engineering, UC Irvine (2014) M.Sc. in Biomedical Engineering, UC Irvine (2010) M.Sc. in Mechanical Engineering, Manhattan College (2009) B.Sc. in Mechanical Engineering, Manhattan College (2008) Her research develops novel educational frameworks using active learning techniques, virtual reality simulations, and real-world clinical applications. Current projects investigate VR clinical immersion platforms for needs-finding training, AI integration in biomedical curricula, and culturally responsive engineering pedagogy. She creates hands-on learning experiences connecting engineering principles to healthcare challenges. Her publications demonstrate strong emphasis on educational innovation (65%), neurorehabilitation technology (20%), and medical device development (15%), with recent work focusing on VR/AI applications in education. Award recognition includes AIMBE Fellowship and best paper awards for educational innovation and medical technology. She leads the BioENGINE program fostering industry-academia partnerships and medical innovation. Laboratory facilities include VR clinical simulation environments and engineering education research labs supporting her pedagogical innovations and medical device prototyping.

Wenjie LuoView profile

Researcher

• Neuroscience
• Alzheimer's Disease
• Microglial Research
• +5 more

Wenjie Luo is a researcher at the Brain and Mind Research Institute, Weill Cornell Medical College, focusing on neurodegenerative diseases and neuroimmunology. His role involves investigating molecular pathways linking tauopathy, microglial function, and genetic risk factors for Alzheimer's disease. Education: B.S. and M.S. from Peking University (China), Ph.D. from Albert Einstein College of Medicine (2001) His research explores the interplay between neuroinflammatory mechanisms, tau pathology, and genetic variants in Alzheimer's disease progression. Key areas include the cGAS-STING pathway, TREM2 agonism, and microglial interactions with oligodendrocytes. Recent publications highlight his work on tau propagation models, microglial signaling pathways (NF-κB, AKT), and sex-based differences in neurodegeneration. He collaborates on grants from the National Institute on Aging and BrightFocus Foundation, focusing on tau metabolism, TREM2 ligands, and APOE mutations in neurodegenerative diseases.

• Systems Biology
• Genomics
• Post-transcriptional Gene Regulation
• +3 more

CHEN Wei is a Chair Professor at the Department of Biology, School of Life Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, China. He holds a Ph.D. from the Max Planck Institute for Molecular Genetics (2006) and previously served as a Full Professor (W3) at the Max-Delbrück Center for Molecular Medicine and Charité – Universitätsmedizin Berlin (2015-2016). Prior to joining SUSTech, he led research groups at prestigious German institutions, contributing to large-scale genome centers and the Berlin Institute of Health. Education : Ph.D. (2006, Max Planck Institute), M.S. (2002, Sichuan University), B.S. (1993, Xiamen University) His research focuses on systems biology and genomics, particularly post-transcriptional gene regulation mechanisms and their roles in human diseases. His lab integrates next-generation sequencing technologies with computational approaches to study non-coding RNA functions, alternative splicing, and chromatin dynamics. Key projects include CRISPR-based functional studies, 3D genome analysis, and RNA editing in neurological and metabolic disorders. Recent publications highlight his work in Drosophila developmental genomics, chloroplast translation control, and cancer biology. The 2025 study on spatiotemporal multi-omics in Drosophila and 2024 articles on MatK's role in tRNA splicing and CRISPR-activated transcriptional regulation exemplify his interdisciplinary approach. Earlier works (2023-2022) address immune cell trafficking, alternative polyadenylation, and chromatin remodeling in cancer metastasis. At SUSTech, he leads a team with 4 research assistant professors, 2 postdoctoral fellows, 3 research assistants, and 7 graduate students. His lab has secured significant funding from EU and German agencies (€7M+), though specific awards are not detailed in the provided text. Teaching responsibilities include General Biology and Principles of Cell Biology.

Jian KangView profile

Professor

• Biostatistics
• Bayesian Methods
• Gaussian Processes
• +11 more

Jian Kang is a Professor and Associate Chair for Research at the University of Michigan School of Public Health , specializing in Biostatistics . His work focuses on developing advanced statistical methods for large-scale biomedical data , with applications to precision medicine , neuroimaging , and genomics . Education: PhD in Biostatistics, University of Michigan (2011) MS in Mathematics (Statistics), Tsinghua University (2007) BS in Statistics, Beijing Normal University (2005) Research Interests include Bayesian nonparametric methods , deep learning for medical imaging , ultra-high-dimensional variable selection , and graphical models for network inference . His 2025-2023 publications demonstrate expertise in Bayesian hierarchical modeling , spatial statistics , and machine learning for healthcare . Scientific Awards : Michigan SPH Excellence in Research Award (2025) ICSA President's Citation Award (2024) Statistics in Biopharmaceutical Research Best Paper (2023) Best Paper in Biometrics by IBS Member (2022) Fellow, American Statistical Association (2021) Grants include NSF-IIS (2021-2025) for BCI statistical learning , NIGMS (2020-2022) for metabolomics biomarker selection , NIDA (2020-2025) for imaging data analysis , and NIMH (2014-2025) for multidimensional neuroimaging methods . Labs and Teams develop Bayesian computational tools for neuroimaging and spatial transcriptomics , collaborating with institutions like Emory University and University of North Carolina.

Steven R. FisherView profile

Professor

• Geriatrics
• Rehabilitation Science
• Physical Therapy
• +3 more

Steven R. Fisher is a tenured Professor in the Department of Physical Therapy and Rehabilitation Sciences within the School of Health Professions at the University of Texas Medical Branch (UTMB), where he advances geriatric rehabilitation through clinical practice, research, and education. His work bridges physical therapy with aging science to improve functional outcomes in vulnerable older populations. Dr. Fisher earned his Master of Physical Therapy from Texas Tech University and his Doctorate of Philosophy in Rehabilitation Science from UTMB. He maintains a clinical specialist certification in Geriatric Physical Therapy (GCS), validating his expertise in age-related mobility disorders. His research program centers on physical functioning in older adults, with emphases on fall risk mitigation , urinary incontinence management , and post-hospitalization recovery . Key methodologies include actigraphy for mobility tracking, randomized clinical trials for intervention efficacy, and interdisciplinary collaborations addressing sarcopenia and functional decline. Current projects investigate testosterone therapy for hip fracture recovery and robotics-assisted gait training for Parkinson's disease. Analysis of his 15 most recent publications reveals dominant trends in geriatric rehabilitation, particularly the bidirectional relationship between urinary incontinence and fall risk in women, hospitalization-induced mobility loss, and innovative interventions like transcranial stimulation for stroke recovery. His work spans clinical trials, systematic reviews, and feasibility studies with strong translational focus. Scientific recognition includes: Fellow of the Sealy Center on Aging at UTMB Clinical Specialist Certification in Geriatric Physical Therapy Dr. Fisher serves as Co-Investigator and supervising physical therapist (5% effort) on NIH-funded research (R01 AG0496-11, 2017-2022) targeting accelerated sarcopenia mechanisms in older adults with type 2 diabetes and post-hospitalization. He actively contributes to professional societies including the American Physical Therapy Association (APTA), Acute Care Section, and Texas Physical Therapy Association (TPTA), advocating for evidence-based geriatric practice standards. As a Sealy Center on Aging Fellow, he collaborates with geriatricians, urologists, and neurologists on translational research addressing multimorbidity in aging. His team develops pragmatic interventions like the STEP-HI trial for hip fracture recovery and mobility-monitoring protocols to predict hospital readmissions.

• Sleep
• Circadian rhythms
• Bioinformatics
• +4 more

Ron C Anafi serves as Associate Professor of Medicine (Sleep Medicine) at the Hospital of the University of Pennsylvania and holds key affiliations as Faculty Scholar at the Penn Institute for Bioinformatics, Co-Investigator at the Center for Subcellular Genomics, and member of both the Chronobiology and Sleep Institute and ITMAT. His work bridges computational biology with clinical sleep medicine within the Perelman School of Medicine. His educational trajectory includes a B.S.E. in Biomedical Engineering and Philosophy from Tulane University (1995), followed by a Ph.D. in Applied Mechanics (2002) and M.D. (2004) from the University of Minnesota. This dual training underpins his unique approach to circadian research. Dr. Anafi's laboratory pioneers computational methods to decode sleep and circadian influences on human physiology, focusing on neurodegeneration and cancer. By applying machine learning and systems biology to large-scale omics data, his team reconstructs molecular rhythms from cross-sectional human tissue databases—overcoming the critical barrier of limited longitudinal sampling in patients. His research demonstrates how circadian disruptions in ribosomal function link to Alzheimer's pathology and how tumor clock strength predicts breast cancer outcomes. Analysis of his 15 most recent publications (2022-2025) reveals intensifying focus on cell-type-specific circadian disruptions in neurodegenerative diseases, with significant expansion into cancer chronobiology and contactless sleep monitoring technologies. His methodological innovations like CYCLOPS enable rhythmic signal extraction across diverse tissues—from brain to skin—while increasingly integrating multi-omics layers to identify therapeutic targets. As mentor in the Genomics and Computational Biology and Neuroscience graduate groups, he guides students through rotation projects at his Translational Research Laboratories facility (Suite 2100, 125 South 31st Street). His research is supported by NIH grants investigating circadian mechanisms in Alzheimer's disease and cancer progression, with recent work exploring sex-specific metabolic impacts of circadian genes and non-invasive sleep monitoring.

Michael S. WolinView profile

Professor

• Oxidative Stress Signaling
• Pulmonary Hypertension
• Vascular Physiology
• +7 more

Michael S. Wolin, Ph.D., is a distinguished Professor of Physiology at the School of Medicine, New York Medical College (NYMC). With a career spanning several decades, Dr. Wolin has established himself as a leading researcher in vascular physiology, redox biology, and pulmonary hypertension. His work began with groundbreaking research on nitric oxide signaling as a postdoctoral fellow with Lou Ignarro at Tulane University, contributing to aspects of research that led to Ignarro's 1998 Nobel Prize in Physiology and Medicine. Dr. Wolin's research interests focus on oxidative stress signaling , pulmonary hypertension , vascular physiology , redox biology , nitric oxide signaling , and mitochondrial function . His NIH-funded laboratory at NYMC has made significant contributions to understanding how cellular regulatory systems—including mitochondrial function, oxidases, ROS metabolizing enzymes, and cellular redox control systems—function in physiological processes and pathophysiological conditions. His work has particularly advanced our understanding of oxygen sensing mechanisms, hypoxic pulmonary vasoconstriction, and the role of hydrogen peroxide as a signaling molecule. Dr. Wolin's recent publications (2019-2025) demonstrate continued research productivity with significant contributions to understanding placental development in maternal undernourishment, pulmonary vascular function, oxidative stress mechanisms in hypertension, and the role of various signaling molecules in cardiovascular disease progression. His work shows a consistent focus on the interplay between redox signaling, mitochondrial function, and vascular pathophysiology. Notable awards and honors include: Distinguished Scientist Award – American Chemical Society, Westchester Section (2010) Outstanding Faculty Award – Graduate Student Association of Basic Medical Sciences at NYMC (2009) Robert M. Berne – Distinguished Lectureship Awardee – American Physiological Society (2008) Merit Award – National Heart, Lung & Blood Institute, NIH (1995) Dr. Wolin has maintained significant editorial and service roles, including serving as Chair of the Integrative Vascular Physiology Pathology NIH Study Section (2021-2023), Consulting Editor for the American Journal of Physiology: Heart & Circulatory Physiology (2011-2018), and as a Fellow of the American Heart Association since 2001. His teaching responsibilities at NYMC include directing multiple physiology courses and mentoring graduate students through thesis research.

Stephen L HelfandView profile

Professor

• Molecular Genetics of Aging
• Longevity
• Neurodegeneration
• +7 more

Stephen L Helfand is the George D. Eggleston Endowed Professor of Biochemistry at Brown University, where he serves as Professor in the Department of Molecular Biology, Cell Biology and Biochemistry and Vice-Chair of Research in the Department of Neurology. His work focuses on the molecular genetics of aging , using Drosophila melanogaster to investigate how chromatin changes, transposable elements, and metabolic pathways like the INDY gene influence longevity and age-related diseases. Education: BS (1975) and MD (1979) from Stanford University and Albert Einstein College of Medicine Key Research Areas: Mechanisms of aging Chromatin remodeling Transposable elements in aging Metabolic regulation of lifespan Neurodegenerative disease models His 15 most recent articles (2019-2011) highlight interdisciplinary work bridging genetics, epigenetics, and metabolism. Common themes include chromatin dynamics , mitochondrial function , and transposable element activation in aging, with applications to human diseases like Alzheimer's. Scientific Awards Glenn Awards (2007-2009, 2014-2016) MERIT Award (2004-2016) Fellow of AAAS (2017) and Gerontological Society of America (2017) NIH grants (R01AG067306, R01AG024353, P01AG051449) He contributes to translational neuroscience and aging research through affiliations with Brown University's Center for Computational Molecular Biology , Carney Institute for Brain Science , and Center for Translational Neuroscience . His lab has developed rapid assays for lifespan-extending interventions and demonstrated connections between sirtuins, caloric restriction, and p53 regulation.

Ben LecorpsView profile

Senior Lecturer

• Animal welfare
• Animal emotions
• Animal cognition
• +4 more

Dr. Ben Lecorps serves as a Senior Lecturer at the Bristol Veterinary School, University of Bristol, specializing in animal welfare science with a focus on emotional states and cognitive processes in farm animals. His expertise directly addresses welfare assessment in dairy systems and laboratory settings through innovative methodological approaches. Dr. Lecorps holds a PhD, MSc, and BSc in relevant disciplines, forming the foundation for his research in animal sentience. His educational trajectory supports his interdisciplinary approach combining veterinary science, behavioral biology, and ethics. His research program centers on Animal Welfare , Animal Emotions , and Animal Cognition , with particular emphasis on dairy cattle , pain assessment , and affective state measurement . He pioneers cognitive bias testing (e.g., judgment bias paradigms) and physiological monitoring to quantify emotions like pessimism and anhedonia in calves and heifers. Current investigations span disbudding pain management, hunger effects on cognition, and human-animal relationship impacts, bridging fundamental neuroscience with practical on-farm applications. Analysis of his 15 most recent publications (2021-2025) reveals three dominant research strands: (1) development of welfare assessment tools (conditioned place preference/aversion tests), (2) dairy-specific welfare challenges (disbudding, regrouping, transportation), and (3) policy implications of welfare science (EU regulations, organic standards). His work consistently integrates behavioral, cognitive, and physiological metrics to advance evidence-based welfare frameworks. Dr. Lecorps actively supervises student research projects and theses within the Bristol Veterinary School. While specific grant details aren't public, his output suggests sustained funding for experimental welfare studies involving dairy cattle, pigs, and poultry systems. His collaborative network includes key figures like Professor Michael Mendl (Animal Behaviour and Welfare) and Dr. Suzanne Held (Behavioural Biology), forming a cohesive research group focused on affective neuroscience in farm animals. The Langford-based research team employs advanced methodologies including non-linear heart rate variability analysis, cognitive testing arenas, and behavioral observation protocols. Current projects investigate pain-emotion interactions in calves, social learning in poultry, and regulatory effectiveness for transport welfare, positioning the group at the forefront of translational animal welfare science.

Bo HuView profile

Professor

• Biostatistics
• Bioinformatics
• Neurosurgery
• +7 more

Bo Hu is Professor of Biostatistics & Bioinformatics and Professor of Neurosurgery at Duke University, where he leads methodological and collaborative research at the intersection of biostatistics, bioinformatics, and clinical neurosciences. His dual appointments situate him within the Division of Biostatistics in the Department of Biostatistics & Bioinformatics and within the neurosurgical faculty. Education: Ph.D. in Biostatistics, University of Wisconsin–Madison, 2006 Research Interests: Professor Hu’s methodological work centers on advanced biostatistical and machine-learning techniques for high-dimensional biomedical data, including generative AI, synthetic data generation, and predictive analytics in medicine. Clinically, he collaborates on precision-medicine trials in oncology, neurodegeneration (Alzheimer’s disease), metabolic disease (type 2 diabetes and bariatric surgery), and treatment-resistant depression. His neuroimaging genetics portfolio explores structural brain endophenotypes in bipolar disorder and epilepsy using single-cell transcriptomic integration. Complementing his medical research, he maintains a vigorous program in remote-sensing informatics, developing deep-learning solutions for object detection, domain adaptation, and energy-infrastructure mapping from overhead imagery. Recent Grant Portfolio: Empagliflozin to Improve Right Ventricular Function in Pulmonary Arterial Hypertension – Cleveland Clinic Lerner College of Medicine (2025-2030) Gender and Asthma – Mayo Clinic Hospital-Arizona (2025-2027) Engaging Patients in Prenatal Genetic Testing Decisions – Cleveland Clinic Lerner College of Medicine (2025-2027) Laboratory & Collaborative Networks: Professor Hu leads interdisciplinary teams that bridge Duke’s Department of Biostatistics & Bioinformatics with clinical departments (Neurosurgery, Psychiatry, Medicine) and external partners such as Cleveland Clinic, Mayo Clinic, and multiple NIH consortia. These collaborations support large-scale clinical trials, multi-omics neuroimaging studies, and AI-driven remote-sensing analytics.

Sylvain FaisanView profile

Assistant Professor

• Image Processing
• Machine Learning
• Geometry
• +6 more

Sylvain Faisan is a permanent Assistant Professor at ICube - MIV (University of Strasbourg, France). His research focuses on image processing, statistical modeling, and geometry, with applications in medical imaging and neuroscience. He works on advanced methodologies integrating machine learning and mathematical frameworks. Key Research Areas: Polarimetric image processing, retinal image registration, 3D statistical model comparison, topology-preserving image deformation, and fMRI brain mapping Technical Expertise: Bayesian inference, non-local means filtering, reversible jump MCMC algorithms, causal modeling, and constrained optimization His publications demonstrate interdisciplinary applications in optics, biomedical imaging, and computational anatomy. He contributes to developing algorithms that maintain physical admissibility and topological integrity in complex imaging problems.

• Cognitive Neuroscience
• Autism Spectrum Disorder
• Functional MRI
• +7 more

Susan Bookheimer is a distinguished Professor of Cognitive Neuroscience and Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine at UCLA. She holds the Joaquin Fuster Professorship in Cognitive Neuroscience and is affiliated with multiple research centers including the Center for Autism Research and Treatment (CART), Staglin Center for Cognitive Neuroscience, Tennenbaum Center for the Biology of Creativity, and Brain Research Institute. Dr. Bookheimer's research spans cognitive neuroscience with a focus on autism spectrum disorder, functional MRI methodology, language processing, memory function, and sensory processing differences. Her work investigates neural mechanisms underlying neurodevelopmental disorders, particularly autism, using advanced neuroimaging techniques to identify early biomarkers and understand neural connectivity patterns. She has made significant contributions to understanding how brain networks develop and function in typically developing children and those at risk for autism. Her extensive publication record demonstrates expertise in functional MRI applications across diverse populations including infants at risk for autism, individuals with epilepsy, and aging adults. Her research often examines how brain connectivity relates to cognitive and behavioral outcomes, with particular attention to language processing, sensory reactivity, and social cognition in neurodevelopmental conditions. Dr. Bookheimer leads and participates in numerous collaborative research initiatives including the ACE GENDAAR Network and has contributed to understanding the neural basis of autism through genetic, imaging, and behavioral approaches. Her work bridges basic neuroscience with clinical applications, aiming to improve diagnostic approaches and interventions for neurodevelopmental disorders.

Jonathan Y. HuangView profile

Assistant Professor

• Child Health and Development
• Environmental Epidemiology
• Social Epidemiology
• +5 more

Jonathan Y. Huang, PhD, serves as an Assistant Professor in the Department of Epidemiology at the University of Hawaiʻi at Mānoa, focusing on translating epidemiological research into actionable public health interventions through rigorous quantitative methods. His academic credentials include: PhD in Epidemiology with Certificate in Public Health Genetics from the University of Washington, Seattle MPH in Community-Oriented Public Health Practice from the University of Washington, Seattle BSc in Biochemistry and English Literature from the University of Virginia Dr. Huang’s research examines social and biological determinants of early child health and development, with specific emphasis on environmental contaminant effects, exposome social determinants, placental multi-omic pathways, paternal health influences, and mHealth interventions for expectant couples. His methodological expertise strengthens causal inference in life-course epidemiology. Publication trends reveal consistent contributions to environmental-child health interfaces, with recent work addressing pandemic impacts on children, socioeconomic exposome mapping, and multi-omic mediation analysis across international birth cohorts. He directs competitively funded birth cohort studies across four continents and holds editorial positions at the International Journal of Epidemiology (Associate Editor) and Fertility & Sterility (Methodological Editor), reflecting his methodological leadership.

David SmithView profile

Professor

• Microscale biological fluid dynamics
• Sperm motility and fertility modeling
• Cilia and flagellar mechanics
• +5 more

David Smith is a Professor of Applied Mathematics at the University of Birmingham and Deputy Director of Research and Knowledge Transfer at the Engineering and Physical Sciences Healthcare Technologies Institute. He is renowned for his interdisciplinary research applying mathematical modeling to medicine and biology, particularly in microscale fluid dynamics of fertility, sperm motility, cilia mechanics, and mathematical endocrinology. Research Interests: Microfluid dynamics of fertility and reproduction, especially sperm motility and embryonic nodal cilia Mathematical endocrinology, including pharmacokinetics of cortisol and thyroid disease Development and application of regularized Stokeslets methods for biological flows Bayesian modeling for spectroscopic biomedical diagnostics Multiscale modeling in reproductive health and cell motility His recent publications span computational tools for viscous flow, dinoflagellate swimming, kinetic modeling of biochemical reactions, and Bayesian diagnostics using Raman spectroscopy, reflecting a broad and impactful interdisciplinary portfolio. Projects & Grants: Principal Investigator, EPSRC project on rapid sperm capture using imaging and machine learning (2016–2022) Co-Investigator, US Army and UK Ministry of Defence projects on traumatic brain injury biomarkers (2021–2028) Alan Turing Institute Turing Fellowship (2019–2020) EPSRC and Proctor & Gamble supported parameter estimation projects Smith chairs the editorial board of Mathematics in Medical and Life Sciences , has organized major conferences on bioactive fluids, and delivered keynote lectures on regularized Stokeslets methods. He currently supervises four PhD students and a postdoctoral fellow, welcoming new doctoral applicants.

• Biostatistics
• Cancer Genomics
• Statistical Methods for High-Dimensional Data
• +4 more

Yuan Huang is an Assistant Professor in the Department of Biostatistics at the Yale School of Public Health . Her research focuses on statistical methods for high-dimensional data, motivated by challenges in cancer genomics and neurodegenerative diseases. She develops approaches for biomarker identification, network structure estimation, and gene-environment interaction analysis, with applications in Alzheimer’s, Huntington’s, and Parkinson’s diseases. Key Affiliations: Yale Cancer Center, Center for Brain & Mind Health, Yale Center for Analytical Sciences (YCAS) Her methodological work emphasizes integrative analysis across multiple datasets to improve reproducibility and discovery. Recent collaborations span clinical trials, genetics, and epidemiology, with a focus on addressing heterogeneity and nonlinearity in complex biomedical data. Her publications include Bayesian finite mixture models, precision matrix estimation, and advanced techniques for high-dimensional causal mediation analysis. She actively engages in translational research, linking statistical innovation to clinical and public health challenges.