Paul A. Yushkevich is a Professor of Radiology at the Perelman School of Medicine, University of Pennsylvania , with affiliations in the Bioengineering Graduate Group . He leads the Penn Image Computing and Science Laboratory (PICSL) , focusing on advanced biomedical image analysis techniques. Developed first-of-its-kind computational atlas of the hippocampal formation Led NIH R01-funded research on MRI-derived biomarkers for Alzheimer's disease Created open-source software tools: ITK-SNAP and Convert3D Expert in statistical shape modeling and histology-MRI co-registration Research Focus: Specializes in hippocampal segmentation using high-resolution MRI, with applications in Alzheimer's disease research and cardiac imaging . His work combines differential equations and machine learning for accurate image analysis. Scientific Achievements: First-place MICCAI segmentation challenges (2012, 2013) Over 169 PubMed publications in neuroimaging and computational anatomy Developed DTI-TK toolkit for diffusion MRI analysis Collaborations: Works with Alzheimer's Disease Neuroimaging Initiative (ADNI) and multiple international institutions. Supervises graduate students in biomedical image analysis.
Naftali Raz is a Professor of Psychology at Stony Brook University, specializing in Integrative Neuroscience. He holds a Ph.D. from the University of Texas at Austin (1985) and a B.A. from the Hebrew University of Jerusalem (1979). His research focuses on understanding age-related changes in the brain and cognition, particularly exploring metabolic, vascular, and inflammatory risk factors influencing cognitive aging. He employs neuroimaging techniques such as MRI, MRS, and fMRI to study brain structure, function, and metabolism in healthy aging populations. Raz’s research emphasizes the 'FRIENDS' model (Free-Radical Induced Energetic and Neural Decline in Senescence), linking aging to energy production decline. His work includes longitudinal studies on brain atrophy, myelin content, and iron accumulation. He investigates how physiological risk factors like cardiovascular disease and metabolic syndrome impact neurocognitive trajectories. Current grants include NIA funding for neural correlates of cognitive aging and hippocampal glutamate modulation studies. Education: Ph.D. in Psychology, University of Texas at Austin (1985) B.A. in Psychology, Hebrew University, Jerusalem, Israel (1979) Labs/Facilities: Integrative Neuroscience Group, SCAN Center (Stony Brook Advanced Neuroimaging) His publications span over three decades, with recent works on recognition memory strategies, hippocampal subfield analysis, and cerebral blood flow dynamics. Collaborations include multi-institutional projects on neuroimaging protocols and aging mechanisms.
Richard Kempter is a Full Professor at the Humboldt-Universität zu Berlin, where he leads the Theoretical Neuroscience research group within the Institute for Theoretical Biology, Department of Biology. His research focuses on the neural basis of learning and memory through computational and mathematical modeling of synapses, neurons, and neural networks. He is affiliated with several major research centers including the Bernstein Center for Computational Neuroscience, the Einstein Center for Neurosciences Berlin, and the CRC 1315 Memory Consolidation. Professor Kempter's research interests span theoretical and computational neuroscience with a particular focus on the neural mechanisms underlying learning and memory. His work employs biophysical modeling and mathematical analysis to study synaptic short- and long-term plasticity, the dynamics of single neurons, and the interaction of neurons in recurrently coupled networks. A key aspect of his research investigates how neural systems maintain a balance between learning susceptibility and stability against pathological activity patterns, with model systems including the hippocampus and early auditory system. His research group has made significant contributions to understanding hippocampal sharp wave-ripple events, phase precession in spatial navigation, auditory processing in barn owls, and memory consolidation mechanisms. The group's work combines theoretical approaches with computer simulations to unravel the computational principles of neural circuits, showing particular interest in how neural tissue remains susceptible to learning while maintaining robust stability against pathological activity patterns. Scholarship of the State of Bavaria (03/1994-12/1995) Emmy Noether Fellowship Part I (09/1999-08/2001), funded by the Deutsche Forschungsgemeinschaft Emmy Noether Fellowship Part II (01/2003-09/2008) Guest Professor , HU Berlin, Department of Biology (10/2008-03/2010) Professor Kempter has advised numerous PhD and Master's students throughout his career, with many continuing in neuroscience research. His group maintains strong connections with experimental laboratories to bridge computational models with empirical findings, particularly in hippocampal function and auditory processing. The Theoretical Neuroscience Lab participates in collaborative projects investigating memory consolidation and neural coding principles, contributing significantly to our understanding of how neural circuits implement computational principles underlying learning and memory.
Charles L. White is Professor of Pathology at UT Southwestern Medical Center, where he holds the Nancy R. McCune Distinguished Chair in Alzheimer Disease Research. He has served as Director of Neuropathology at UT Southwestern since completing his residency and fellowship training in anatomic pathology and neuropathology at Johns Hopkins in 1983. Dr. White also directs the Neuropathology Core of the UT Southwestern Alzheimer Disease Research Center (established 1988) and the Winspear Family Special Center for Research on the Neuropathology of Alzheimer's Disease (established 2002). Dr. White completed his medical and pathology training at Johns Hopkins University, establishing a career focused on neurodegenerative brain disorders. His educational background forms the foundation for his dual expertise in clinical neuropathology and research investigation. Dr. White's research spans multiple critical areas of neuropathology: Pathological mechanisms of Alzheimer's disease and related dementias Tau protein aggregation and propagation across neurodegenerative conditions Diagnostic criteria and staging systems for various neuropathologies Genetic and molecular underpinnings of frontotemporal lobar degeneration Chronic traumatic encephalopathy and its relationship to other neurodegenerative conditions Development of artificial intelligence approaches for neuropathological assessment Analysis of Dr. White's extensive publication record reveals a consistent focus on defining and characterizing neurodegenerative disease processes through rigorous pathological examination. His work frequently addresses diagnostic criteria, disease classification systems, and the molecular mechanisms underlying various neurodegenerative conditions. There is particular emphasis on tau pathology across multiple disease states, including Alzheimer's disease, primary age-related tauopathy (PART), and chronic traumatic encephalopathy (CTE). His research often involves large collaborative efforts with multiple institutions, reflecting the complex, multidisciplinary nature of modern neuropathological research. Dr. White has received significant recognition for his contributions to the field: Award for Meritorious Contributions to Neuropathology from the American Association of Neuropathologists (2020) Nancy R. McCune Distinguished Chair in Alzheimer Disease Research As an educator and mentor, Dr. White serves as Training Director for the Neuropathology Fellowship program at UT Southwestern, an ACGME-accredited, 2-year training program. Twenty-two trainees have completed the program and become board certified by the American Board of Pathology in the subspecialty of Neuropathology. He has held significant leadership positions including past president of the American Association of Neuropathologists, the national professional organization for neuropathologists in the US. His mentorship extends to numerous research collaborations where he guides junior investigators in neuropathological research methods and interpretation. Dr. White directs multiple research centers including the Neuropathology Core of the UT Southwestern Alzheimer Disease Research Center and the Winspear Family Special Center for Research on the Neuropathology of Alzheimer's Disease. His laboratory work focuses on understanding the pathological mechanisms of neurodegenerative diseases, particularly those involving protein misfolding and aggregation. His team employs advanced techniques including immunohistochemistry, molecular pathology, and increasingly, artificial intelligence approaches to analyze neuropathological specimens.
Kelsey Canada is an incoming Assistant Professor in the Department of Psychological and Brain Sciences at the University of Massachusetts Amherst, starting Fall 2025. She is based in Tobin Hall and will lead a research program focused on developmental cognitive neuroscience. Her research centers on understanding how memory and brain development, particularly in the hippocampus, evolve during childhood and adolescence. She examines how socioeconomic factors influence neurodevelopment, using interdisciplinary methods including MRI , EEG , behavioral testing , and structural equation modeling . Her work emphasizes representative sampling and data integration to uncover modifiable risk and protective factors. Dr. Canada's recent publications highlight her leadership in hippocampal subfield research, quality control in neuroimaging, and collaborative data practices. Her work spans developmental trajectories, methodological innovation, and social determinants of brain health. She earned her PhD from the University of Maryland, College Park, and is establishing her lab at UMass Amherst. Prospective students are encouraged to contact her directly. Research Areas: Developmental Science, Neuroimaging, Cognitive Development Affiliation: Department of Psychological and Brain Sciences, UMass Amherst Dr. Canada has been involved in major collaborative initiatives, including the Hippocampal Subfields Group, and her research is supported by recent publications in top journals such as Human Brain Mapping , Hippocampus , and Developmental Cognitive Neuroscience . While no formal grants or advising roles are listed yet, her active publication record and lab formation indicate a growing research program.
Rebecca Feldman is an Assistant Professor in Medical Physics and Physics at the Irving K. Barber Faculty of Science, University of British Columbia Okanagan. Her research integrates MR physics, engineering, and medical research to advance MRI pulse sequences and hardware for clinical translation, particularly in neurological disorders. University: University of British Columbia Okanagan Academic Rank: Assistant Professor PhD: University of Western Ontario Research Interests: Dr. Feldman specializes in technical innovation in MRI (accelerated imaging, spectroscopic imaging, non-proton imaging) and translational research applying MRI to neurological disease detection, characterization, and treatment. Her work leverages ultra-high-field (7T) MRI for enhanced resolution of brain structures like hippocampal subfields and perivascular spaces. Publications: Recent work includes advancements in self-supervised medical imaging backbones (MedMAE), segmentation of venous structures in epilepsy, automated MRI pulse design via neural networks, and clinical applications of 7T MRI in neurosurgical planning and psychiatric disorders like major depressive disorder. Teaching: Currently teaches courses in physics, including physics of waves.
Attila Keresztes is an Assistant Professor in the Department of Cognitive Psychology at Eötvös Loránd University (ELTE), Budapest, Hungary. He serves as Principal Investigator of the Lifespan Memory Development Lab and Head of the Hippocampal Circuit and Code for Cognition Lab (HCCCL), a Max Planck Partner Group. His research focuses on hippocampal structure-function relationships across the lifespan, employing high-resolution MRI and experimental methods to study memory development, stress impacts, and cognitive aging. Keresztes holds a PhD in Cognitive Science from Budapest University of Technology and Economics (2014) and completed postdoctoral training at the Max Planck Institute for Human Development in Berlin. Key interests include hippocampal maturation’s role in memory specificity, longitudinal brain development, and the interplay between stress hormones (e.g., cortisol) and hippocampal morphology. His work has been funded by grants such as FK128648 from Hungary’s National Research, Development, and Innovation Office. In 2022, he received the prestigious Bolyai János Research Scholarship from the Hungarian Academy of Sciences. Current lab activities involve collaborations with the Max Planck Institute and the ELTE Babylab, including the NeMO study on early childhood memory development. The HCCCL team includes PhD students (Alex Ilyés, Zsuzsanna Nemecz, Hunor Kis) and student researchers focusing on neuroimaging, semantic memory, and pattern separation mechanisms. Public engagement initiatives include participation in events like the European Researchers' Night and science outreach for children.
Serra Favila is an Assistant Professor in the Department of Cognitive and Psychological Sciences at Brown University, affiliated with the Carney Institute for Brain Science. She holds a BA in Human Biology from Stanford University and a PhD in Psychology from New York University, followed by postdoctoral training at Columbia University. Her research focuses on the neural mechanisms underlying episodic memory, employing methods such as functional neuroimaging, intracranial recordings, behavioral measurements, eye-tracking, and computational modeling. She teaches CLPS 1480I: Memory, Space, and the Hippocampus. Dr. Favila's work investigates how humans form flexible yet durable memories, emphasizing the interaction between environmental cues, cognitive goals, and neural processes. Her lab explores memory’s selectivity and susceptibility to interference, with implications for understanding how memory shapes future behavior. Key topics include hippocampal contributions to spatial and temporal memory, neural remapping, and memory-guided navigation. Her articles span themes like hippocampal mechanisms for resolving memory competition, visual cortex contributions to recall success, and neural underpinnings of spatial perception. She maintains an active lab website detailing ongoing projects and collaborates across disciplines to advance cognitive neuroscience. Office hours are held Mondays from 4-5pm in Metcalf Research 245.
Mallar Chakravarty is an Associate Professor in the Department of Psychiatry at McGill University's Faculty of Medicine and an Associate Member of the Department of Biomedical Engineering. He serves as Director of the Brain Imaging Centre at the Douglas Research Centre and leads the Computational Brain Anatomy (CoBrA) Laboratory. His work bridges computational neuroscience, psychiatry, and biomedical engineering to advance understanding of brain structure and function. Dr. Chakravarty received his Bachelor's Degree in Electrical Engineering from the University of Waterloo and his PhD in Biomedical Engineering from McGill University. He completed postdoctoral fellowships in Aarhus, Denmark and jointly at the Rotman Research Institute, Mouse Imaging Centre (MICe), and Hospital Sick Children in Toronto, Canada. Between fellowships, he worked at the Allen Institute for Brain Science in Seattle, WA, USA. His research focuses on computational neuroanatomy, specifically examining how brain anatomy changes through development, aging, and in illness. The CoBrA Lab investigates brain maturation through adolescence, the normal aging process, and alterations in brain anatomy related to neurodegenerative disorders such as Alzheimer's and Parkinson's disease, as well as neurodevelopmental disorders like schizophrenia. The lab develops sophisticated computational techniques to automatically analyze the geometric complexity of brain anatomy using MRI and other imaging modalities. Analysis of Dr. Chakravarty's recent publications reveals a strong emphasis on hippocampal and striatal morphology, brain development across the lifespan, and computational methods for neuroanatomical analysis. His work consistently bridges basic neuroscience with clinical applications, particularly in psychiatric and neurodegenerative disorders. The publications demonstrate expertise in multi-atlas segmentation, high-resolution MRI atlas development, and longitudinal neuroimaging analysis. Fonds de recherche du Québec – Santé (FRQS) Research Scholar, Junior 2 Fonds de Recherche Santé Québec – Young Investigator Award Junior 1 Sertuener Award for best scientific work in pain research in Germany 2016 CCNP Young Investigator Award 2023 Member to the College of New Scholars, Artists, and Scientists Dr. Chakravarty actively mentors a diverse team of researchers including neuroscientists, computer scientists, engineers, and physicists. His lab has secured significant funding from multiple sources including FRQS, CIHR, and private foundations such as the TD Ready Commitment for Digital Mental Health research. The lab is known for its commitment to open science, publicly disseminating algorithms and atlases to promote reproducible research. The Computational Brain Anatomy (CoBrA) Laboratory operates within the Cerebral Imaging Centre at the Douglas Mental Health University Institute. The lab's multi-disciplinary approach combines expertise from neuroscience, computer science, engineering, and physics to understand brain structure-function relationships through health and illness. Their work has contributed significantly to the field of computational neuroanatomy and its applications in mental health research.
Dr. Wei-Tang Chang is an Assistant Professor in the Department of Radiology at the University of North Carolina School of Medicine. His research focuses on advancing ultrahigh-resolution functional and diffusion MRI techniques, with emphasis on improving spatial and temporal resolution while reducing scan times. Key projects include submillimeter isotropic-resolution fMRI for hippocampal subfield analysis (funded by NIH R21), novel dMRI approaches to overcome resolution limits, and clinical translation of robust imaging methods resistant to motion/noise artifacts. Dr. Chang holds a PhD in Biomedical Engineering from National Taiwan University and completed postdoctoral training at the Martinos Center for Biomedical Imaging (MGH), Massachusetts General Hospital, and Singapore BioImaging Consortium (SBIC). His research innovations include SORDINO fMRI for awake rodent imaging, pPRISM diffusion MRI for submillimeter resolution, and ZTE pulse sequences for ultra-fast acquisitions. Awards include the 2011 OHBM Trainee Award for work on MEG source localization and fMRI temporal resolution breakthroughs. Current work bridges basic neuroimaging science with clinical applications, particularly in neurodegenerative disease biomarker development and rodent disease model studies. Education: PhD in Biomedical Engineering, National Taiwan University Postdoctoral Fellowships: Martinos Center for Biomedical Imaging (MGH) Singapore BioImaging Consortium (SBIC) Key Technologies Developed: ZTE pulse sequences (25 ms temporal resolution fMRI) pPRISM diffusion MRI (navigator-free submillimeter imaging) Draining-vein suppression layer-dependent fMRI Awards & Funding: NIH R21 Grant (2019) for hippocampal subfield fMRI OHBM Trainee Award (2011) Dr. Chang's translational focus involves adapting laboratory innovations for clinical use, with particular interest in Alzheimer's disease biomarkers through hippocampal network analysis and Huntington's disease models using rodent functional connectivity studies. His lab actively develops open-source MRI reconstruction algorithms and collaborates internationally on multi-center neuroimaging projects.
Stephen E. Sallan, MD , is a Professor of Pediatrics at Harvard Medical School and a Physician at Dana-Farber Cancer Institute and Children's Hospital . His career spans over five decades in pediatric hematology/oncology , with a focus on acute lymphoblastic leukemia (ALL) and pediatric brain tumors . Education : MD, Wayne State University School of Medicine (1967) Residencies : Boston Floating Hospital (1968), Children's Hospital of Philadelphia (1969), Hospital for Sick Children, London (1970) Fellowship : Pediatric Oncology, Children's Hospital/DFCI (1972) Leadership Roles : Chief of Staff (1995), Chairman of Medical Staff Executive Committee (1995), Chief of Staff Emeritus (2012) Dr. Sallan's research integrates genetic heterogeneity , disease recurrence , and drug resistance in ALL, with efforts to develop targeted therapies like tumor vaccines and antiangiogenesis agents. His work addresses long-term treatment toxicities (cardiac, skeletal, neurocognitive), particularly in survivors of childhood cancers. His 15 most recent publications (2024–2018) demonstrate ongoing engagement with pharmacogenomics, thrombosis risk models, dietary interventions, and molecular markers in brain tumors. Key subfields include TRK-C in medulloblastoma , asparaginase complications , and DFCI ALL Consortium Protocols . Scientific Awards : Distinguished Alumni Award, Wayne State University School of Medicine (1997) James Carreras Prize for International Pediatrician of the Year (1987) As a leader in pediatric leukemia research , Dr. Sallan has shaped treatment protocols that minimize late effects while improving survival. He collaborates with multidisciplinary teams in neuro-oncology and pharmacogenomics, maintaining active roles in clinical trials and laboratory investigations.
Christopher Brown serves as a Clark Scholar and instructor in the Department of Neurology at the University of Pennsylvania, where he conducts clinical training at the Penn Memory Center under Dr. Dave Wolk's mentorship. His work bridges neurology, imaging science, and neurodegenerative disease research within Penn's academic medical ecosystem. His educational trajectory includes a bachelor's degree in biology and philosophy-neuroscience-psychology from Washington University in St. Louis, followed by dual MD/PhD training at the University of Kentucky. His doctoral research focused on multimodal imaging in aging and preclinical Alzheimer's disease, specifically examining executive function decline. Dr. Brown's research centers on multimodal neuroimaging approaches to map neurodegenerative pathology propagation through white matter networks. His work integrates advanced MRI techniques with computational analysis to understand Alzheimer's disease mechanisms, emphasizing the structural connectivity basis of cognitive decline. This focus positions him at the intersection of clinical neurology and cutting-edge imaging methodology development. Analysis of his 2024-2025 publications reveals dominant themes in Alzheimer's disease genetics (particularly variant-to-function mapping in microglial models), high-resolution neuroimaging segmentation, and white matter microstructure analysis. His work consistently connects molecular mechanisms with structural brain changes, using techniques ranging from 7T MRI to multi-ancestry genetic studies. His scientific recognition includes: Clark Scholar award As a Penn Memory Center researcher, Dr. Brown contributes to collaborative projects investigating early Alzheimer's detection biomarkers. His current work extends into glymphatic system research and vascular contributions to neurodegeneration, supported by institutional resources within Penn's neuroscience infrastructure. He operates within the Penn Memory Center's research ecosystem, which integrates clinical care with translational neuroscience to advance dementia diagnosis and treatment through multidisciplinary team science.
Prof. Dr. Claudia Barth is a Professor of Neurobiology of Hormonal Transitions at Charité - Universitätsmedizin Berlin, holding dual appointments at the Department of Psychiatry and Neurosciences and the Institute of Gender in Medicine (GiM). As Head of the Research Division Neurobiology of Hormonal Transitions, she leads pioneering work integrating preclinical and clinical perspectives with computational approaches to study hormonal transitions and their impact on brain health and psychiatric disorders. She currently serves as Chair of the ENIGMA Neuroendocrinology Working Group – Menopause Subgroup and Co-Chair of the ENIGMA Early Onset Psychosis Working Group, fostering global research collaborations. Her educational background includes a PhD in Neuroscience (summa cum laude, 2017) from the University of Leipzig & Max Planck Institute, an MSc in Biology (Neurobiology & Behavior, 2012), and a BSc in Biology (2010). Prior to her current position, she completed postdoctoral training at the University of Oslo and Norwegian Centre for Mental Disorders Research (2018-2020), and doctoral research at the Max Planck Institute for Human Cognitive and Brain Science (2013-2017). Barth's research focuses on women's brain health across hormonal transition periods, with particular emphasis on menstrual cycle, pregnancy, and menopause. Her work investigates how sex hormones influence brain structure and function, and their relationship to psychiatric disorders including depression and psychosis. Through innovative approaches combining neuroimaging, registry data, and computational methods, she has established herself as a leading researcher in female brain health. Her recent work demonstrates how estradiol exposure affects brain aging trajectories and how hormonal transitions create vulnerability windows for mental health disorders. Her publication record shows consistent high-impact contributions in neuroscience journals, with recent articles exploring menstrual cycle effects on brain structure (2023), menopausal hormone therapy effects (2024), and comprehensive analyses of sex steroids across the lifespan (2023). Her research demonstrates increasing focus on translational applications, particularly in understanding how hormonal transitions affect vulnerability to depression and Alzheimer's disease. 2024: European Research Council Starting Grant (PI, €1.5M) - "MappingPerimenopause" 2025: Wellcome Leap CARE (Co-PI, €1.5M) - "Charting the female brain during midlife" 2025: Marie Skłodowska-Curie Actions Doctoral Networks (Co-PI, €4.7M) - "Gender-InSIGHT" 2025: Marie Skłodowska-Curie Actions Doctoral Networks (Co-PI, €4.5M) - "MenoBrain" As an active science communicator, Barth has contributed to public understanding through interviews with European Sleep Research Society (2025), Forbes (2023), podcasts on women's health (2024), and educational materials for Springer Medicine (2024). Her work bridges cutting-edge neuroscience with clinical applications to improve women's brain health outcomes across the lifespan.
Sigrid C. Veasey is a Professor of Medicine (Sleep Medicine) at the Perelman School of Medicine, University of Pennsylvania , affiliated with the Department of Medicine and the Division of Sleep Medicine. As an attending physician at the Hospital of the University of Pennsylvania, she combines clinical practice with translational research on sleep disorders. B.S. in Biochemistry (Sweet Briar College, 1981) M.D. (University of Virginia, 1985) Research Focus : Dr. Veasey's lab investigates the molecular mechanisms of neural injury in sleep disorders, particularly chronic sleep loss and sleep fragmentation . Key discoveries include SIRT1 regulation of wake-active neurons, amyloid-β accumulation , and tau degeneration in Alzheimer's disease models. Current work explores neuroinflammatory pathways and synaptic pruning in the locus coeruleus. Article Trends : Her recent publications span neuroscience and sleep medicine , focusing on sleep-neurodegeneration links , opioid interactions , and circadian rhythm effects . Subfields include amyloid cascades , neuroinflammation , and animal models of sleep injury.
Karin Schon is an Associate Professor in the Department of Anatomy & Neurobiology at Boston University Chobanian & Avedisian School of Medicine, with secondary appointments in Psychological and Brain Sciences and Neuroscience at Boston University College of Arts and Sciences. She directs the Brain Plasticity and Neuroimaging Laboratory and serves as Assistant Dean for Diversity & Inclusion. PhD in Psychology (2005) from Boston University Joint BA/MA in Psychology (1998) from University of Hamburg Her research examines how aerobic exercise, aging, and psychosocial stress modulate brain health, particularly in hippocampal and amygdala systems. She pioneered anti-racist neuroscience studies on racial discrimination's impact on neurocognitive aging in Black/African American populations. Methodological approaches include high-resolution fMRI, structural MRI, and biomarker assays for neurotrophins like BDNF. Recent publications focus on 2024 studies of perceived discrimination's neuroanatomical effects, 2024 cortical thickness analysis in spatial cognition, and 2022-2020 investigations into hippocampal connectivity and exercise-induced neuroplasticity. Awards include NIH Pathway to Independence (2010), CCAD Junior Investigator (2013), and multiple NIH/NIA/NIMH grants. Scientific Leadership : Organized DEIA events, co-directed BU PREP pipeline program, and contributed to university-wide policy changes including the removal of Myles Standish name from campus housing in 2024 Service : Chair of BU Faculty Council Equity and Inclusion Committee (until 2024), active in GMS Diversity Steering Committee, and advocate for universal design in STEM education
