جست‌وجوی استاد و پژوهشگر

Anna Weinbergمشاهده پروفایل

دانشیار

• Clinical Psychology
• Developmental Science
• Behavioural Neuroscience
• +۳ مورد دیگر

Anna Weinberg is an Associate Professor in the Department of Psychology at McGill University. Her research focuses on identifying biological pathways underlying disordered emotional experiences, particularly in mood and anxiety disorders. She employs neurophysiological methods like event-related potentials (ERPs) to study neural systems involved in processing errors, emotional stimuli, and rewards, linking these to behavioral outcomes. Key interests include distinguishing neural markers between anxiety and mood disorders, and determining whether these biological correlates represent vulnerability factors or symptoms. Her work has examined the impact of childhood maltreatment, social stress, and the intergenerational transmission of depression risk. She leads the TRAC Lab and collaborates on large-scale projects like the Adolescent Brain Cognitive Development (ABCD) Study. Education details are not explicitly listed in the provided text, but her academic career includes extensive postdoctoral and faculty roles in clinical and developmental neuroscience. Her research has been published in high-impact journals such as Biological Psychiatry , Clinical Psychological Science , and Psychophysiology . Research interests emphasize translational neurophysiology, with a focus on developmental trajectories of neural systems and their modulation by stress, trauma, and social environments. Recent studies investigate how neural responses to rewards and errors predict symptom progression during stressful events like the pandemic. No scientific awards are explicitly mentioned in the text. Her advising and grants involve collaborations on ERP methodologies, risk markers for depression, and adolescent neurodevelopment. She directs the TRAC Lab, which focuses on translational research in affective neuroscience.

Cynthia H.Y. Fuمشاهده پروفایل

استاد

• Major Depressive Disorder Neuroimaging
• Biomarker Development for Depression
• Transcranial Direct Current Stimulation (tDCS)
• +۵ مورد دیگر

Professor Cynthia H.Y. Fu is a leading researcher in the Department of Psychology & Human Development at the University of East London's School of Childhood and Social Care. She serves as an Honorary Consultant Psychiatrist at the South London and Maudsley NHS Foundation Trust and holds a Visiting Professor position at the Centre for Affective Disorders, King's College London. Her research focuses on identifying brain regions affected by depression and how they change with various treatments including talking therapies, antidepressant medication, and neurostimulation techniques like transcranial direct current stimulation (tDCS). Professor Fu pioneered work demonstrating that neural activation patterns during sad facial processing can accurately diagnose depression in individual patients and predict treatment response. Her research has direct translational potential in developing biomarkers for diagnosis and prognosis based on brain imaging. Professor Fu's work spans multiple disciplines including affective neuroscience, computational psychiatry, and neuromodulation. Her recent publications reveal strong trends in applying machine learning to neuroimaging data for depression classification, investigating home-based tDCS treatment protocols, and exploring the relationship between physiological markers and psychological states in real-world contexts like driving and commuting. British Association for Psychopharmacology Award National Alliance for Research in Schizophrenia and Depression (Brain & Behavior Research Foundation) Award Professor Fu has secured significant research funding from major organizations including the Medical Research Council, Wellcome Trust, GlaxoSmithKline, and Eli Lilly. Her work regularly appears in top-tier journals and is consistently cited among the most influential publications in psychiatry. She leads research investigating how brain responses can predict individual treatment responses, potentially enabling personalized depression treatment approaches. Her laboratory focuses on multimodal neuroimaging approaches combined with machine learning to identify neural signatures of depression and treatment response. Current projects include home-based tDCS treatment protocols with remote supervision, biomarker development for predicting antidepressant response, and computational approaches to understanding stress responses in everyday contexts.

Jungmeen Kim-Spoonمشاهده پروفایل

استاد

• Developmental Psychopathology
• Developmental Neuroscience
• Risk and Resilience in Adolescent Risk Taking
• +۷ مورد دیگر

Dr. Jungmeen Kim-Spoon is a Professor in the Department of Psychology and Health Sciences at Virginia Tech's College of Science. She leads the JK Lifespan Development Lab and serves as Director of Virginia Tech's Developmental Science program, focusing on developmental psychopathology and neurocognitive mechanisms in adolescent risk behaviors. Ph.D. in Developmental Psychology (University of Virginia) M.A. in Developmental Psychology (Yonsei University) B.A. in Psychology (Yonsei University, Summa Cum Laude) Her research examines: Developmental pathways of psychopathology following child maltreatment Neurobiological substrates of risk-taking behaviors Protective factors in adversity: Self-regulation, cognitive control, religiousness Longitudinal neuroimaging studies of adolescent brain maturation Quantitative methods: Structural equation modeling, latent growth analysis Recent publications highlight: Neurocognitive control of substance use (2025) Maltreatment effects on emotion regulation (2024) Developmental impacts of socioeconomic disadvantage (2024) Family chaos and neural protective factors (2024) Delay discounting pathways in adolescent substance use (2024) Scientific recognition: Heilig-Meyers Professor of Psychology (2025–present) NIH-funded research projects (NIDA/NICHD/NIMH) Lab members include: Current graduate students: Claudia Clinchard, Celina Meyer, Sahar Hafezi Postdoctoral associates: Ya-Yun Chen, Ashlyn Murphy

Edward F. Changمشاهده پروفایل

استاد

• Neurosurgery
• Neuroscience
• Speech Neuroscience
• +۷ مورد دیگر

Edward F. Chang, MD is a distinguished Professor and Chair of the Department of Neurological Surgery at the University of California, San Francisco (UCSF) School of Medicine. He co-directs the Center for Neural Engineering and Prostheses, a collaborative enterprise between UCSF and UC Berkeley, and leads the Chang Lab focused on speech neuroscience and neural engineering. As a practicing neurosurgeon, he specializes in treating adults with difficult-to-control epilepsy, brain tumors, trigeminal neuralgia, hemifacial spasm, and movement disorders. Dr. Chang's educational background includes a B.A. in Chemistry from Amherst College (1997), an M.D. from UCSF (2004), a Neurological Surgery residency at UCSF (2010), and a postdoctoral fellowship in Cognitive Neuroscience at UC Berkeley (2009). His research focuses on the brain mechanisms for speech, movement, and learning, with particular emphasis on advanced brain mapping methods to preserve crucial areas for speech and motor functions. He has pioneered work in speech neuroprostheses, developing technology that allows patients with paralysis to communicate through brain signals. His work integrates engineering, neurology, and neurosurgery to develop state-of-the-art biomedical technology to restore function for patients with neurological disabilities such as paralysis and speech disorders. Analysis of his recent publications reveals a strong trend toward developing advanced neuroprosthetic technologies, particularly speech decoding systems, and exploring the neural basis of speech production across multiple languages. His research also spans epilepsy surgery optimization, deep brain stimulation for psychiatric conditions, and molecular profiling of brain tumors. Blavatnik National Laureate for Life Sciences (2015) Elected to the National Academy of Medicine (2020) Inaugural Bowes Biomedical Investigator at UCSF HHMI Faculty Scholar Dr. Chang leads multiple NIH-funded research projects totaling millions of dollars, including a pilot clinical trial for speech neuroprosthesis and studies on the neural coding of speech across human languages. He has mentored numerous researchers in the field of neural engineering and speech neuroscience, though specific student names aren't listed in the provided materials. His work has resulted in groundbreaking technologies that have helped restore communication abilities to individuals with paralysis. As co-director of the Center for Neural Engineering and Prostheses, Dr. Chang leads a multidisciplinary team of engineers, neurologists, and neurosurgeons working at the intersection of neuroscience and technology. His lab has been instrumental in developing brain-computer interfaces that translate neural activity into speech, with recent publications demonstrating streaming brain-to-voice neuroprostheses that restore naturalistic communication.

Gloria Robertsمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Psychiatry
• Bipolar Disorder
• +۳ مورد دیگر

Dr. Gloria Roberts is a Research Fellow at the Black Dog Institute, affiliated with the University of New South Wales' Faculty of Medicine, School of Psychiatry. Her research focuses on identifying predictors of bipolar disorder development in high-risk populations, with particular emphasis on neural mechanisms of executive functioning and emotional processing. Location: Black Dog Institute, Hospital Road, Prince of Wales Hospital, Randwick NSW 2031 Contact: +61 2 9382 8324 | ORCID: https://orcid.org/0000-0002-1966-5120 Education Background: B.Sc in Applied Psychology (University College Cork, Ireland, 2002) M.Sc in Neuropharmacology (National University of Ireland Galway, Ireland, 2003) Diploma in Statistics (Trinity College Dublin, Ireland, 2006) PhD in Neuroscience (Trinity College Dublin, Ireland, 2008) Dr. Roberts' research program centers on the neural basis of emotional dysregulation characteristic of mood disorders, employing structural and functional Magnetic Resonance Imaging as her primary research tool. Her work integrates advanced neuroimaging analysis techniques including diffusion tensor imaging tractography, dynamic causal modeling, graph theory, and machine learning approaches. She maintains active collaborations with Queensland Institute of Medical Research (Brisbane), Neuroscience Research Australia (Sydney), and the Centre for Healthy Brain Ageing (Sydney). Analysis of Dr. Roberts' publication record (94 journal articles, 2 book chapters, 25 conference papers) reveals a consistent research trajectory focused on neurocognitive patterns in bipolar disorder. Her recent work increasingly incorporates machine learning techniques to identify predictive biomarkers, with a growing emphasis on longitudinal studies tracking high-risk populations. The interdisciplinary nature of her research bridges neuroscience, psychiatry, and computational methods to address fundamental questions about mood disorder development. Scientific Contributions: Extensive publication record across multiple formats (journal articles, book chapters, conference presentations) Development of innovative neuroimaging analysis techniques for bipolar disorder research Establishment of multi-institutional collaborations across Australia Integration of machine learning approaches with traditional neuroimaging methods Dr. Roberts actively mentors junior researchers and contributes to the broader scientific community through peer review activities and participation in research networks focused on mood disorders. Her work has significant implications for early intervention strategies and the development of novel therapeutic approaches for bipolar disorder.

Henrik Andershedمشاهده پروفایل

استاد

• Criminology
• Psychology
• Criminal Behavior
• +۵ مورد دیگر

Henrik Andershed is a Professor of Psychology and Criminology at Örebro University, holding an adjunct professorship part-time. He earned his PhD in Psychology from Örebro University in 2002, with a thesis on antisocial behavior in adolescence. He has been a key figure in developing criminological research, including founding the Criminology program at Örebro University. His research focuses on identifying youth groups with criminal behavior to tailor interventions, psychopathy, and risk/protective factors for crime and psychosocial issues. He leads longitudinal studies like the SOFIA study (tracking child development) and the IDA program (spanning six decades of participant data). Andershed has authored over 100 scientific works and advises institutions like the Swedish National Board of Health and Welfare. His awards include the SKAPA Prize 2019 for the EMBRACE system, a tool for crime prevention analysis. He also co-founded Embrace Safety, commercializing evidence-based crime prevention strategies.

• Computational Neuroscience
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Rui Ponte Costa is an Associate Professor at the University of Oxford's Department of Physiology, Anatomy & Genetics (DPAG). He leads the Neural & Machine Learning group, focusing on computational models of learning in the brain by integrating AI principles. His research emphasizes cortical circuits, neuromodulation, and subcortical regions to understand credit assignment mechanisms. He holds a PhD in Computational Neuroscience and Machine Learning from the University of Edinburgh and has held postdoctoral positions at the University of Oxford, University of Bern, and McGill University. His group's work bridges theoretical and experimental neuroscience, collaborating with institutions like MILA and Google DeepMind. Education: Bachelor's in Computer Science, University of Coimbra (Portugal) PhD in Computational Neuroscience, University of Edinburgh (UK) Research Interests: Neural mechanisms of learning and plasticity Machine learning inspired by biological systems Cerebro-cerebellar interactions Neuromodulatory systems' role in reinforcement learning Collaborators include Christopher Summerfield, Timothy Behrens, and Yarin Gal. His lab's work has been published in Nature Communications , Cell Reports , and top machine learning venues. He co-organizes the Oxford NeuroTheory Forum and has pioneered models explaining cortical dynamics in task acquisition and consolidation. Advising and Grants: No specific grants listed, but active in collaborative research networks. Advising focuses on PhD students in computational neuroscience and AI. Labs/Teams: Neural & Machine Learning Group at DPAG, part of Oxford's broader neuroscience and AI ecosystem.

Marios Georgakisمشاهده پروفایل

پژوهشگر

• Cardiovascular Disease
• Stroke
• Atherosclerosis
• +۸ مورد دیگر

Marios Georgakis is a clinician-scientist and Junior Group Leader at the Institute for Stroke and Dementia Research (ISD) at LMU Munich. He also holds a Visiting Scientist position at the Broad Institute of MIT and Harvard. His research focuses on leveraging multi-omics data and causal inference methods (e.g., Mendelian randomization) to discover drug targets for atherosclerosis, develop personalized risk stratification tools for cerebrovascular disease, and identify in vivo biomarkers of disease activity. His work bridges human genetics, molecular biology, and clinical translation. Education : MD and PhD (Epidemiology) from the National and Kapodistrian University of Athens; doctoral studies in Systemic Neurosciences at LMU Munich. Honors : Emmy Noether Award (DFG), CHARGE Consortium Early Career Achievement Award, Hertie Network Fellowship, and multiple scholarships/fellowships. Research Themes : Drug target discovery for cardiovascular disease via multiomics integration Molecular phenotyping of atherosclerosis using single-cell RNA-seq and spatial transcriptomics Development of AI-driven tools for vascular imaging and aging Genetic studies of inflammation, cytokines, and stroke subtypes Causal inference in vascular risk prediction and post-stroke outcomes Recent Article Trends : His team's publications (2024-2020) emphasize: Proteogenomic and genetic studies of atherosclerosis Cytokine signaling pathways (e.g., IL-6, CCL2/CCR2) Polygenic and genomic risk scores for stroke Multi-omics biomarkers in cerebrovascular disease Clinical translation of Mendelian randomization findings Meta-analyses of population-based data Scientific Awards : Emmy Noether Group Leader Award (DFG, 2023) CHARGE Consortium Early Career Achievement (2023) Hertie Network Fellowship (2023) Walter-Benjamin Postdoctoral Fellowship (2021-2022) Team Leadership : Georgakis mentors multiple PhD students and postdocs in his lab. His group collaborates with vascular surgeons, neurologists, and computational biologists. Current projects include the AtherOMICS biobank and AI-driven vascular phenotyping tools.

• Business Analytics
• Operations Research
• Machine Learning
• +۵ مورد دیگر

Dr. Hong Ming Tan is a Senior Lecturer at the Department of Analytics and Operations, NUS Business School, and a Research Fellow at the Institute of Operations Research and Analytics (IORA) at National University of Singapore. He holds a PhD in Operations Research and Analytics (2021), MSc in Mathematics (2017), and BSc (Hons) in Applied Mathematics and Economics (2013) from NUS. Doctor of Philosophy, Operations Research and Analytics (2021) Master of Science, Mathematics (2017) Bachelor of Science (Hons), Applied Mathematics and Economics (2013) His research spans Business Analytics , Machine Learning , Operations Research , and Pharmacogenetics . Recent work includes: EcoVal Framework for efficient data valuation in ML Personalized Mental Health through adaptive testing and clustering Antibiotic Resistance modeling using antiresistic strategies CYP2D6 Methylation prediction for precision medicine His publications demonstrate expertise in ML optimization , healthcare informatics , behavioral analytics , and decision science . Current projects include AI-led Smart Data Centre Management and SIA Corp Lab research. He serves as Chair of the Department Finance Committee and advisor to student clubs like Business Analytics Consulting Team. His work addresses real-world challenges in industrial operations, healthcare diagnostics, and educational innovation.

Steven Huprichمشاهده پروفایل

استاد

• Personality Disorders
• Psychoanalytic Therapy
• Clinical Assessment
• +۲ مورد دیگر

Steven K. Huprich is Professor of Psychology and Associate Director of the Doctoral Program in Clinical Psychology at the University of Detroit Mercy. He specializes in personality disorders, psychoanalytic psychotherapy, and clinical assessment. Huprich holds a Ph.D. from the University of North Carolina at Greensboro and completed clinical training at SUNY Upstate Medical University and Columbia University. His research examines classification and assessment of personality pathology, with focus on malignant self-regard as a unifying construct for depressive, narcissistic, and self-defeating personalities. Huprich has published over 125 peer-reviewed articles and authored/edited six textbooks, including 'Personality Disorders and Pathology: Integrating Clinical Assessment and Practice in the DSM-5 and ICD-11 Era' (APA, 2022). Honors include the Theodore Millon Award from the American Psychological Association (2013) for mid-career excellence in personality research. He maintains a clinical practice specializing in psychoanalytically-informed psychotherapy and diagnostic assessments.

Katja Beesdo-Baumمشاهده پروفایل

استاد

• Clinical Psychology
• Developmental Psychopathology
• Mental Disorders Epidemiology
• +۳ مورد دیگر

Prof. Dr. Katja Beesdo-Baum is a Full Professor of Behavioral Epidemiology at the Institute of Clinical Psychology and Psychotherapy, Faculty of Science, Technical University of Dresden. Her research focuses on the epidemiology and clinical aspects of mental disorders, integrating neurobiological, developmental, and environmental factors through large-scale observational and experimental studies. She holds editorial roles at journals like Child Psychiatry & Human Development and contributes to global initiatives such as the WHO’s ICD-11 clinical practice network. Her work spans anxiety disorders, depression, and prevention strategies in youth, with a strong emphasis on translational research and healthcare system integration. Education includes a Diploma in Psychology (2000) and a Dr. rer. nat. (2006), both from TU Dresden, followed by Habilitation in 2010. Professional experience includes postdoctoral training at the National Institute of Mental Health (USA) and leadership roles in clinical and research groups. Awards include the ECNP Fellowship and Dr.-Walter-Seipp Dissertation Award. Her research explores mechanisms linking stress, neuroendocrine systems, and mental disorders, with recent studies focusing on brain structure alterations in anxiety disorders (ENIGMA collaborations) and the efficacy of prevention programs. She investigates digital health tools, stigma reduction, and sociodemographic barriers to mental healthcare access in adolescents and young adults. Key Research Themes: Behavioral epidemiology, developmental psychopathology, neuroimaging, prevention science. Recent Trends: Machine learning in brain-based classification of anxiety disorders, longitudinal studies on stress biomarkers (e.g., cortisol, androgens), and implementation science for pediatric mental health services. Awards highlight her contributions to clinical guidelines (DSM-5 Task Force) and global mental health policy. Her grants and collaborations span European and international funding bodies, emphasizing interdisciplinary approaches to mental health challenges. Labs/Teams: Active in the ENIGMA Anxiety Working Group, BeMIND study (behavioral-mind health cohort), and Dresden-based clinical research networks.

• Bipolar Disorder
• Psychiatry
• Mental Health Treatment
• +۵ مورد دیگر

Gunnar Morken is a Professor and senior consultant in the Department of Mental Health at the Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Medicine and Health Sciences and St. Olavs Hospital. His research focuses on bipolar disorder, chronotherapy, psychiatric epidemiology, and clinical interventions for mental health conditions such as schizophrenia and insomnia. He collaborates on studies involving genomic analysis, environmental factors (e.g., light exposure, UV radiation), and treatment efficacy evaluations. Key research areas include genomic insights into bipolar disorder, the role of circadian rhythms in mental health, and clinical trials assessing therapies like cognitive-behavioral therapy (CBT) for insomnia and exercise interventions for schizophrenia. His work spans both basic science (e.g., genetic studies) and translational research (e.g., hospital lighting design to improve sleep). Publications highlight his contributions to understanding lithium response mechanisms, environmental influences on psychiatric disorders, and the design of clinical trials in acute psychiatric care. Morken’s interdisciplinary approach integrates neuroscience, epidemiology, and clinical practice to advance mental health treatments.

• Computational Neuroscience
• Neuroimaging
• Connectomics
• +۱۰ مورد دیگر

Professor Michael Breakspear is an internationally recognized leader in computational neuroscience, brain imaging, and translational neurotechnology at the University of Newcastle's School of Psychological Sciences. His research bridges complex systems theory, mathematical modeling, and clinical neuroscience to advance understanding of brain dynamics in health and disease through interdisciplinary collaboration across mathematics, physics, neuroimaging, psychiatry, and artificial intelligence. Professor Breakspear holds a Doctor of Philosophy from the University of Sydney, along with multiple undergraduate degrees including a Bachelor of Medicine and Bachelor of Surgery. His academic journey includes professorial appointments at the University of Sydney (School of Physics), University of Queensland (School of Psychiatry), and University of Western Sydney (School of Psychiatry), where he progressed from Post-doctoral Research Fellow to Associate Professor. Current: Professor, University of Newcastle, School of Psychological Sciences 2017-present: Principal Research Fellow, National Health & Medical Research Council 2017-present: Senior Scientist and Head, QIMR Berghofer Medical Research Institute 2012-2017: Professor (adjunct), University of Sydney, School of Physics 2011-present: Professor (adjunct), University of Queensland, School of Psychiatry 2007-2012: Associate Professor, University of Western Sydney, School of Psychiatry Professor Breakspear's research program integrates expertise across mathematics, physics, neuroimaging, psychiatry, and artificial intelligence. His core expertise includes computational neuroscience (modeling brain dynamics using nonlinear systems theory), neuroimaging and connectomics (pioneering methods to analyze brain networks), brain disorders and mental health (applying computational models to disorders like schizophrenia and bipolar disorder), and neurotechnology and AI (developing machine learning techniques for imaging biomarkers). His recent publications demonstrate a strong focus on brain dynamics, neuroimaging techniques, and applications to psychiatric and neurological disorders. His work spans theoretical frameworks to clinical applications, with particular emphasis on understanding the neural basis of mood disorders, Alzheimer's disease, and psychosis, employing advanced computational approaches to uncover fundamental principles of brain organization and dysfunction. Senior Researcher Award (2017) Principal Research Fellow, National Health & Medical Research Council (2017-present) Professor Breakspear actively collaborates with clinical researchers, engineers, and technology developers to translate theoretical frameworks into practical diagnostic and therapeutic innovations. He provides leadership in training programs at the nexus of neuroscience, mathematics, and data science, fostering the next generation of interdisciplinary researchers through mentorship and collaborative projects that bridge theoretical and clinical domains.

Wendy Robinsonمشاهده پروفایل

استاد

• Medical Genetics
• Epigenetics
• Fetal Development
• +۴ مورد دیگر

Wendy P. Robinson is a Professor in the Department of Medical Genetics at the University of British Columbia Faculty of Medicine , and a Senior Scientist at the BC Children’s Hospital Research Institute . She holds the CIHR Sex and Gender Science Chair . Research Interests: Genetics and epigenetics of early human development, placental function in pregnancy complications (fetal growth restriction, preterm birth), DNA methylation, non-coding RNA, sex differences, and polymorphisms. Her lab employs genomic and bioinformatic tools to study placental health and its impact on newborn outcomes. Recent Publications (2025-2024) focus on X-chromosome inactivation patterns in placenta, cell-type specific DNA methylation, maternal socioeconomic effects on placental epigenetics, and modeling placental development with organoids. Key themes include sex-specific epigenetic regulation , maternal-fetal interactions , and human placental methylome . Awards: UBC Faculty of Medicine Distinguished Achievement Award (2018), with trainees receiving the James Miller Memorial Prize and Mary-Jane Carroll Trainee Award. Students & Collaborations: Supervised PhD/MSc students include Li Qing Wang, Icíar Fernández Boyano, Giulia Del Gobbo, Victor Yuan, and Magda Price. Collaborators span the Alex Beristain Lab and University of Toronto institutions. Laboratory Activities: Regular team-building events like mountain hikes, climbing outings, and kayaking trips, alongside providing open access to epigenetic tools (e.g., Bisearch, SeqDoc) for the research community.

Kate Whiteمشاهده پروفایل

استادیار

• Chemical Biology
• Structural Biology
• Cellular Imaging
• +۴ مورد دیگر

Kate White serves as an Assistant Professor in the Department of Chemistry at the University of Southern California's Dornsife College of Letters, Arts and Sciences, with cross-appointment in Quantitative and Computational Biology. Affiliated with the Bridge Institute, she pioneers experimental and computational tools to bridge structural biology and physiology through multi-scale approaches spanning atomic to cellular resolutions. Education: Ph.D. in Pharmacology, University of North Carolina – Chapel Hill (2014) Research Focus: Her laboratory investigates insulin hormone processing and maturation mechanisms in pancreatic β-cells, employing chemical biology, multi-modal imaging, biophysics, and computational modeling to study peptide hormone secretion. Defects in these processes underlie mental disorders (depression, bipolar) and metabolic diseases (diabetes). Current work defines signaling pathways for hormone maturation, examines inter-organelle communication, characterizes cellular subtypes, and develops community-based modeling tools. Publication Trends: Recent work (2022-2024) demonstrates heavy reliance on soft X-ray tomography and cryo-electron tomography for cellular mapping, combined with dielectrophoresis separation techniques and computational modeling. Key themes include insulin vesicle maturation, beta cell structural heterogeneity during pregnancy, and organelle interaction quantification. Laboratory Structure: The Kate White Lab operates through four integrated research thrusts: (1) signaling pathway characterization for peptide maturation, (2) inter-organelle communication biochemistry, (3) cellular/organelle subtype analysis in secretory cells, and (4) development of next-generation cellular modeling infrastructure for scientific communities.