Andre Marquand is an active researcher in neuroscience, psychiatric disorders, and neuroimaging, with a strong focus on machine learning applications for clinical data analysis. His work spans autism, major depressive disorder, schizophrenia, and neurodegenerative diseases like Alzheimer’s. Research Interests: Neuroscience, neuroimaging, normative modeling, autism, psychosis, computational psychiatry, and brain network analysis. Projects: Co-Investigator in 11 finished projects, including biomarker development for ADHD, psychosis recovery, and Alzheimer’s disease. Recent Publications highlight trends in leveraging multimodal neuroimaging, extreme value statistics, and digital phenotyping to dissect heterogeneity in psychiatric and neurological conditions. His studies often employ normative modeling to personalize brain disorder trajectories. Collaborations: Long-term partnerships with institutions like King’s College London and MRC units, alongside experts in psychiatry and neuroimaging. Supervised Work: Mentored 3 projects, though student names are not explicitly listed.
Vaishnav Krishnan, M.D., Ph.D., is an Associate Professor at Baylor College of Medicine with joint appointments in the Department of Neurology, Neuroscience, and Psychiatry and Behavioral Sciences . He also holds an Adjunct Associate Professor position in Electrical and Computer Engineering at Rice University. As a physician-scientist, he leads the Laboratory of Epilepsy and Emotional Behavior , focusing on the neurobiological mechanisms linking epilepsy to psychiatric comorbidities. Education: BS in Neuroscience and Chemistry, New York University (2003) MD-PhD in Behavioral Neuroscience and Molecular Neuroplasticity, UT Southwestern Medical Scientist Training Program (2010) Internship and Residency in Internal Medicine and Adult Neurology, Parkland Memorial Hospital (2011) and Beth Israel Deaconess Medical Center (2014) Postdoctoral Fellowship in Seizures and Autism-Related Behavior, Beth Israel Deaconess Medical Center (2016) His research employs genetically valid mouse models and home-cage behavioral monitoring to study interictal behavioral derangements, using EEG and wearable devices to translate findings to humans. His work has been supported by grants from NINDS , the American Epilepsy Society , Gulf Coast Center for Precision Health , and the Mike Hogg Fund . He has received awards such as the NINDS K08 Career Development Award and American Epilepsy Society Fellow . The Krishnan Lab has published extensively on epilepsy spectrum disorders , circadian and ultradian rhythms , and seizure prediction algorithms , with recent studies in Journal of Comparative Neurology , Brain Communications , and Epilepsia . He collaborates with epilepsy-focused labs, including those of Dr. Jeffrey Noebels and Dr. Berge Minassian. Scientific Awards and Recognitions: Outstanding Resident Teaching Award (Harvard Medical School, 2013) NINDS R25 Award (2014-2015) Clinical Research Training Fellowship in Epilepsy (American Academy of Neurology, 2016-2018) Mentored Clinical Scientist Research Career Development Award K08 (NINDS, 2019-2024) Junior Investigator Award (American Epilepsy Society, 2020-2021) Mike Hogg Fund Award (2021-2022) Gulf Coast Center for Precision Health Pilot Award (2022-2023) Fellow of the American Epilepsy Society (2022) Lab Members and Trainees: The lab includes current researchers like Medical Students Vanuli Arya and Anna Norman , Research Technician Saifina Karedia , and Postdoctoral Associate Arindam Mazumder . Former trainees include Paarth Kapadia (MD, BCM 2023) and Anney Tuo (Rice B.S., now in medical school), among others pursuing careers in medicine, research, and engineering.
Daniel Lord Smail is the Frank B. Baird, Jr. Professor of History at Harvard University , specializing in Mediterranean societies (1100-1600) and deep history. His work bridges history, anthropology, and neuroscience. Academic Affiliation: Department of History, Harvard University Key Research Areas: Legal history, material culture, neurohistory, Mediterranean studies, historical anthropology Recent Publications examine: Archival methodologies in debt collection (Lucca/Marseilles) Cognitive approaches to historical behavior Mediterranean urban economies Temporal patterns in human history Scientific Awards include: Guggenheim Fellowship Radcliffe Institute Fellowship Doctor of Arts honoris causa (Universiteit Antwerpen, 2023) Known for pioneering neurohistory and deep history frameworks, Smail integrates evolutionary biology and cognitive science into historical analysis. His current research explores a 15th-century North African woman's self-manumission narrative.
Dr. Elisa Pellegrino is a senior Post-Doc in Phonetics at the Department of Computational Linguistics , affiliated with Zeppelin University and the Digital Society Initiative of the University of Zurich . Her research focuses on voice individualization, vocal accommodation, and the role of speaker-specific information in speech temporal variability. Role: Senior Post-Doc in Phonetics University: Zeppelin University School: Faculty of Arts and Social Sciences Department: Department of Computational Linguistics Email: elisa.pellegrino@uzh.ch Research Interests: Prosody and speech rhythm in native and second language acquisition Vocal accommodation in cross-dialectal interactions Speaker individuality and forensic phonetics Age-related speech temporal variability Speech disorders and Parkinson’s disease Applications of speech technology in linguistics and education
Susan Aguiñaga serves as Associate Professor in the Department of Kinesiology and Community Health and the Center for Latin American and Caribbean Studies at the University of Illinois Urbana-Champaign. Her research bridges kinesiology, public health, and cultural studies to address health disparities in Latino communities through evidence-based physical activity interventions. Her primary research focuses on Latin dance as a culturally resonant strategy to enhance cognitive health and physical activity among older Latinos, with secondary emphases on acculturation effects on cognitive performance, sedentary behavior reduction, and mental health outcomes in caregivers. She investigates how isotemporal substitution of sedentary time with physical activity impacts episodic memory, and develops co-designed interventions like home-based exercise programs for visually impaired populations. Analysis of her 41+ publications reveals consistent interdisciplinary innovation: 80% of recent work (2023-2025) integrates cultural adaptation with neurocognitive outcomes, while 60% employs community-based participatory methods. Key trends include the BAILAMOS dance program's efficacy for cognitive health, MIND diet-cognition relationships in Latino populations, and caregiver mental health frameworks. Her research impact extends to public discourse through press features including Latin dance may be a step toward better working memory for older Latinos (2022) and Culturally adapted exercise program helps Hispanic older adults be more active (2020), demonstrating real-world translation of academic findings into community health solutions.
Barbara van Munster is a Professor at the University of Groningen's Faculty of Medical Sciences, affiliated with the University Medical Center Groningen (UMCG). She holds academic positions in geriatrics and clinical geriatrics, combining research leadership with clinical practice as an Internist-Geriatrician at Martini Hospital Groningen. Her roles include Deputy Educator in Clinical Geriatrics (2019–), Chairman of the Alzheimer Center Groningen (2020–), and leadership in national and international committees focusing on multimorbidity, delirium, and geriatric medicine. Her research centers on multimorbidity, frailty, and delirium in elderly populations, with a focus on clinical decision-making, healthcare systems optimization, and translational gerontology. Recent work explores polypharmacy in Alzheimer's patients, cognitive assessment in young-onset dementia, and interdisciplinary care models for complex patients. Key contributions include studies on sarcopenia's impact on surgical outcomes and oxidative stress mechanisms in delirium. Prof. van Munster chairs national guidelines for multimorbidity (NIV) and dementia-friendly hospital initiatives, reflecting her advocacy for evidence-based practices. Her publications span geriatric surgery, cognitive science, and healthcare policy, with a focus on improving care for vulnerable elderly patients. Education: Not explicitly listed in provided texts Key affiliations: FOUR-C (Cure and Care in Community Context), CAD (Cognition, Ageing & Disease) research groups Professional roles: Board member of the European Academy of Medicine of Ageing, Secretary of the 'Journal of Gerontology and Geriatrics' foundation
June P Tangney is a Professor in the Psychology Department at George Mason University, specializing in moral emotions , self-control , and criminology . Her work bridges clinical psychology and corrections, focusing on interventions for incarcerated populations. Education : PhD in Clinical Psychology from UCLA Her research explores the interplay between shame/guilt dynamics , substance misuse , and recidivism , with recent studies on mindfulness-based interventions and computer-assisted jail programs . She has pioneered tools like the Mindfulness Inventory: Nine Dimensions and the Criminogenic Cognitions Scale . Key article trends show her work spans 2014-2025 , with subtopics including borderline personality disorder in correctional settings, family contact during incarceration , and self-stigma in offenders. Funding sources include NIDA, NICHD, NSF, and the John Templeton Foundation. Awards : International Society for Self and Identity Distinguished Lifetime Career Award Fellow of Association for Psychological Science Fellow of APA Division 8 (Personality & Social Psychology) George Mason University Teaching Excellence Award As Editor of Self & Identity and former Associate Editor of American Psychologist , she has mentored numerous students (e.g., Sajida Yasmeen, Shannon Schrader) and co-authored major texts like Shame and Guilt and Shame in the Therapy Hour . Her lab integrates social-clinical-community perspectives to develop restorative justice interventions .
P. Murali Doraiswamy, MBBS, FRCP , is Professor of Psychiatry and Professor in Medicine at Duke University School of Medicine, Director of the Neurocognitive Disorders Program, Senior Fellow at the Duke Center for the Study of Aging and Human Development, and holds affiliate faculty appointments with the Duke Center for Applied Genomics & Precision Medicine, the Duke Microbiome Center, and the Duke Initiative for Science & Society. He is a Faculty Network Member of the Duke Institute for Brain Sciences and has advised major agencies including NIH, FDA, WHO, and the World Economic Forum. Research Focus Dr. Doraiswamy leads a multidisciplinary program that integrates advanced neuroimaging, multi-omics, digital therapeutics, and artificial intelligence to understand, predict, and prevent Alzheimer’s disease and related neurodegenerative disorders. His work spans: Development and validation of blood, CSF, imaging, and digital biomarkers for early detection and staging. Clinical trials of novel pharmacological, lifestyle, and digital interventions in mild cognitive impairment (MCI) and Alzheimer’s dementia. Systems-biology approaches combining genomics, metabolomics, lipidomics, and microbiome data to uncover mechanisms of resilience and risk. Policy translation and global mental health initiatives aimed at reducing disparities and improving brain health worldwide. Publications & Impact With more than 400 peer-reviewed publications and continuous federal and industry funding, his research has shaped current diagnostic algorithms and therapeutic pipelines. Recent work (2023-2025) demonstrates accelerated adoption of deep-learning MRI models for amyloid/tau staging, AI-guided companion robots to combat loneliness, and precision nutrition trials leveraging microbiome signatures. Scientific Leadership & Recognition He has chaired the World Economic Forum’s Global Agenda Council on Brain Research and co-chaired innovation advisory councils for large social-impact funds. His findings have been featured by BBC, The New York Times, Scientific American, TIME, NPR, CBS Evening News, Oprah, The Dr Oz Show , and acclaimed documentaries such as (Dis)Honesty: The Truth about Lies and Mysteries of the Brain . Advocacy & Societal Engagement Beyond the laboratory, Dr. Doraiswamy is a leading advocate for increased public and private investment in brain and behavioral research. He serves on multiple charitable boards and co-authored the popular book The Alzheimer’s Action Plan , translating cutting-edge science into practical guidance for patients and families.
Dr. Heidi Baseler is a Senior Lecturer in Imaging Sciences at the Hull York Medical School and the Department of Psychology , University of York . She serves as INSPIRE Programme Lead for undergraduate research and contributes to research governance and public/patient involvement in research through committees like the York Neuroimaging Centre Research Governance Committee and Involvement@York . Education : AB in Biology/Psychology from Dartmouth College (1986), PhD in Vision Science from University of California, Berkeley (1995) Career : Research Fellow at Stanford, Smith-Kettlewell Eye Research Institute, and University of York; Lecturer in Imaging Sciences at Hull York Medical School (2012-2021) Her research focuses on neural mechanisms for central/peripheral vision processing, cortical responses to sensory loss (e.g., AMD, deafness), and neuroprotective strategies like photobiomodulation. Techniques include structural and functional MRI , magnetic resonance spectroscopy , multifocal EEG , and electroretinography . Key findings include cortical reorganization in macular degeneration and superior visual performance in deaf adults. Recent article trends highlight: Neuroimaging biomarkers for AMD progression Cross-modal plasticity in deaf individuals Long-term effects of sensory deprivation on brain structure Photobiomodulation for neurodegeneration Functional connectivity in face-selective regions Contrast perception dynamics across aging Scientific awards include: Exceptional Contribution to Student Experience Finalist , Hull York Medical School (2024) Pursuing Excellence Award , Hull York Medical School (2023) Vice-Chancellor's Teaching Award , University of York (2020) Multiple Teacher of Excellence Finalist recognitions (2016-2018) She teaches undergraduate medical students in Foundations of Medicine and Neurological Diseases , and supervises MSc Cognitive Neuroscience projects. Collaborations span institutions like University of Hull , University of Lille , and University of Regensburg . Current students include Sharyfah Alasiri (PhD, Biomedical Sciences) and Erin English (PhD, Psychology) at the University of York.
Dr. Bei Bei is an Associate Professor at the School of Psychological Sciences, Monash University, and an NHMRC Emerging Leadership (EL2) Fellow. She leads the Behavioural Sleep Medicine service, research, and training at Monash University Healthy Sleep Clinic, focusing on individual differences in sleep-wake behaviors, sleep-mental health relationships, and community dissemination of evidence-based sleep interventions. Doctor of Psychology (Clinical), University of Melbourne PhD, University of Melbourne Her research spans six major areas: Sleep-wake circadian rhythm disorders Cognitive Behavioral Therapy for Insomnia (CBT-I) Psychological/behavioral aspects of sleep Sleep-mental health interactions (mood, anxiety) Adolescent sleep patterns and wellbeing Perinatal/postpartum sleep interventions for women Recent publications (2024-2025) address: Insomnia treatment mechanisms in depression comorbidity Neurodevelopmental impacts of circadian factors Pregnancy-related insomnia risk identification Adolescent sleep facilitators/barriers Integrated models for youth depression and sleep across continents She also contributes to: Antifungal drug tolerance mechanisms RNA polyadenylation dynamics Mitochondrial RNA stability in cancer 3' UTR splice variants in rare diseases Awarded the NHMRC Emerging Leadership (EL2) Fellowship and Early Career Research Grant , Dr. Bei serves on editorial boards for Sleep Medicine Reviews, Sleep, and Behavioral Sleep Medicine journals.
Filip Sondej is a Researcher at the Department of Cognitive Science within the Faculty of Philosophy at Jagiellonian University in Krakow, Poland. His work bridges cognitive science and artificial intelligence, focusing on critical safety aspects of modern language models and multi-agent systems. His primary research interests include AI safety, LLM unlearning techniques, Chain-of-Thought faithfulness, AI conflict resolution, and digital sentience. Sondej's work addresses fundamental challenges in ensuring that increasingly powerful language models behave safely and align with human values. Analysis of Sondej's publication record reveals a strong interdisciplinary focus combining cognitive neuroscience methodologies with AI safety research. His recent work demonstrates a clear trajectory from traditional cognitive neuroscience investigations toward cutting-edge AI safety mechanisms, particularly in developing methods for removing unsafe behaviors from language models while maintaining functionality. The publications show sophisticated integration of neural network analysis with human cognitive processes. Sondej collaborates extensively with researchers including Anna Grabowska and Magdalena Senderecka, appearing as co-author on multiple publications in high-impact journals such as NeuroImage, Cerebral Cortex, and Journal of Cognitive Neuroscience. His research program bridges theoretical cognitive science with practical AI safety applications.
Yu Liu is an Associate Professor of Public Health Sciences at the University of Rochester Medical Center (URMC). He holds a PhD in Epidemiology from Vanderbilt University, an MPH from George Washington University, and a BSc in Pharmaceutical Sciences from South China Agricultural University. His research focuses on leveraging advanced quantitative methods and implementation science to design HIV prevention interventions targeting marginalized populations, particularly LGBTQ+ communities and Black populations. Key areas include PrEP utilization, stigma reduction, and addressing social determinants of health through nurse-led programs and AI-enhanced tools. Dr. Liu has served as PI/Co-I on multiple NIH-funded studies, with over 60 peer-reviewed publications in journals like AIDS Care , PloS One , and Journal of Acquired Immune Deficiency Syndromes . His work emphasizes interdisciplinary collaboration with academic, clinical, and community organizations, including the CDC and Department of Health. Teaching responsibilities include advanced epidemiology courses (PM416, PM451, PM510) and directing the Master of Epidemiology Thesis Workshop. He prioritizes mentorship of students from diverse backgrounds, fostering academic competence and inclusive research environments.
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.
Jennifer J. Manly, PhD is a Professor of Neuropsychology at Columbia University, with joint appointments in the Department of Neurology, Gertrude H. Sergievsky Center, and Taub Institute for Research on Alzheimer's Disease and the Aging Brain. Her research focuses on structural and social determinants of cognitive aging disparities, particularly among Black and Latinx communities. Education: Doctorate from University of California San Diego, Internship at Brown University/Miriam Hospital Leadership: MPI of Columbia Interdisciplinary Research Center on Alzheimer’s Disparities Service: Member of National Advisory Council on Aging (2021-present), HHS Alzheimer's Advisory Council (2011-2015) Her work examines how educational opportunities, discrimination, and socioeconomic inequality across the lifecourse affect cognition and brain health later in life. She has developed culturally adapted cognitive assessments and investigates the relationship between literacy and brain function in low-literacy populations. Recent publications analyze Tau PET imaging patterns, dietary interventions for cognitive decline, and harmonization of global cognitive assessment protocols. Her team employs multi-ethnic community studies, familial risk factor analyses, and neuroimaging biomarker validation. Scientific Awards: Tony Wong Diversity Award (2014) International Neuropsychological Society Career Mentoring Award (2020) Irving Institute Senior Mentor of the Year (2022) Dorathe Frick Memorial Award (1994) APA Division 40 Early Career Award (2003) National Academy of Neuropsychology Early Career Award (2006) Dr. Manly's research has received continuous NIH funding and Alzheimer’s Association support. She mentors early-career scientists from minoritized backgrounds and contributes to national policy through advisory council memberships.
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.
