Find Academic Supervisors

• Neurology
• Movement Disorders
• Parkinson's Disease
• +6 more

Professor Victor Fung is a leading academic in neurology and motor control at the Sydney Medical School , University of Sydney. He serves as Director of the Movement Disorders Unit at Westmead Hospital and holds prominent roles in the International Parkinson and Movement Disorder Society (President) and the Asia Pacific Affairs Committee of the Australian and New Zealand Association of Neurologists. His research focuses on Parkinson's disease , dystonia , tremor , and movement disorder genetics , with over 250 peer-reviewed publications and an h-index of 61. His work spans Clinical trials for Parkinson's treatments (e.g., foslevodopa/foscarbidopa infusion, incobotulinumtoxinA) Genetic studies on dystonia and Parkinsonism Neurophysiological assessments of tremor and balance Development of screening tools for dystonia and Parkinson's complications Key article trends highlight genetic diversity in dystonia, neuroinflammatory mechanisms in tremor, and behavioral neurology in Parkinson's disease. He contributes to editorial boards of npj Parkinson's Disease , Journal of Clinical Movement Disorders , and Faculty Opinions . While no explicit student lists are provided, his collaborations span global institutions. His clinical work at Westmead Hospital addresses device-assisted therapies and complex movement disorders.

• Nuclear Magnetic Resonance (NMR)
• In vivo imaging
• MRI pulse sequence development
• +7 more

Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.

Rachel CarmodyView profile

Associate Professor

• Human Evolutionary Biology
• Nutrition
• Gut Microbiome
• +3 more

Dr. Rachel Carmody is the Thomas D. Cabot Associate Professor of Human Evolutionary Biology at Harvard University, affiliated with the Faculty of Arts and Sciences. Her research focuses on energy metabolism, gut microbiome interactions, and their evolutionary implications. She leads the Nutritional & Microbial Ecology Lab, exploring how diet, genetics, and microbial communities influence human energy dynamics. Her work integrates evolutionary biology, physiology, and metagenomics to address questions about human uniqueness in digestion, maternal-offspring energy conflicts, and non-caloric dietary components. Office: Museum of Comparative Zoology 542; Email: carmody@fas.harvard.edu. Key research themes include gut microbiome-modulated obesity, placental hormone roles in pregnancy metabolism, and dietary digestibility frameworks. She also investigates evolutionary shifts in gut microbiota during human industrialization and animal domestication. Her lab employs mouse models, comparative studies, and multiomics approaches to dissect host-microbial interactions. Recent articles highlight microbiome effects on exercise-induced weight changes, antibiotic-induced obesity mechanisms, and cross-cultural dietary comparisons. While no awards are explicitly listed, her prolific publications reflect sustained impact in nutritional and evolutionary microbiology. No student advisees or grants are detailed in the provided text.

Nicole C. RiddleView profile

Professor

• Epigenetics
• Chromatin Structure
• Drosophila melanogaster
• +3 more

Nicole C. Riddle is a Professor and Associate Chair for Research and Facilities in the Department of Biology at the University of Alabama at Birmingham (UAB). She holds a B.S. in Biology from the University of Missouri Columbia and a Ph.D. in Evolutionary and Population Biology from Washington University in St. Louis. Her research focuses on epigenetics and chromatin dynamics, particularly in the context of aging and sex differences using Drosophila melanogaster as a model system. Dr. Riddle's work explores how epigenetic mechanisms influence lifespan, genome stability, and phenotypic variation. She has pioneered the use of Drosophila to study exercise-induced physiological changes and their genetic underpinnings. Her lab investigates the roles of HP1 proteins in transcriptional regulation and chromatin organization, with recent studies emphasizing cross-species comparisons of aging mechanisms. Her research has been supported by grants including the BII: IISAGE project on sex-specific aging mechanisms. Notable contributions include developing novel tools like the Rotating Exercise Quantification System (REQS) to measure Drosophila activity levels. Dr. Riddle actively mentors students and postdoctoral researchers, inviting inquiries via riddlenc@uab.edu to join her lab.

Joshua D. RabinowitzView profile

Professor

• Cellular Metabolism
• Metabolomics
• Systems Biology
• +5 more

Joshua D. Rabinowitz is a Professor of Chemistry and the Lewis-Sigler Institute for Integrative Genomics at Princeton University, where he also serves as Director of the Ludwig Princeton Branch. His research focuses on achieving a quantitative, comprehensive understanding of cellular metabolism, with applications in both basic science and medical research. Dr. Rabinowitz's research interests span multiple areas of metabolism and systems biology: Quantitative analysis of metabolic networks and regulation Metabolomics and measurement of metabolite concentrations and fluxes Cancer cell metabolism and therapeutic targeting Metabolic regulation in microbes (E. coli, Saccharomyces cerevisiae) Biofuel production (focusing on Clostridium acetobutylicum) Metabolic impact of pathogen infection (viral infection of human cells) His laboratory has developed innovative methods for measuring cellular metabolites using state-of-the-art mass spectrometry technology and approaches for quantitating metabolic fluxes through isotope-labeling data interpretation. Analysis of recent publications reveals a strong focus on NAD+ metabolism, cancer metabolism, metabolic adaptations in disease states, and the intersection of metabolism with immunology and neuroscience, particularly in areas like T cell metabolism, Alzheimer's disease, and cardiac function. Dr. Rabinowitz has received recognition as a Highly Cited Researcher by Web of Science, indicating significant impact in his field. He advises several graduate students and has mentored numerous alumni, including Michel I. Nofal, Edmundo Leiva III, and Sean Hackett. His research is supported by multiple programs including NIH NHGRI Training Program and QCB Graduate Program. The Rabinowitz Lab operates at the intersection of chemistry, biology, and computational science, with all projects involving a mix of biological experiments, metabolomics, and computation to achieve their goal of a holistic understanding of cellular metabolism.

• Microbiomics
• Genomics
• Complex Diseases
• +4 more

Elin Org is a Professor of Microbiomics at the University of Tartu's Institute of Genomics, where she also serves as Head of the Estonian Genome Centre and Vice Director of the Institute. Her academic career spans over two decades with significant contributions to microbiome and genomic research. Education: PhD in Genetics, University of Tartu (2006) Master's Degree in Molecular Biotechnology and Biomedicine, University of Tartu (2000) Bachelor's Degree, University of Tartu (1997) Classical Singing, Heino Eller Tartu Music School (1996) Professor Org's research primarily focuses on the intricate relationships between host and gut microbiota and their influence on metabolism and common complex diseases. Her work bridges microbiomics, genomics, and complex disease research, with particular emphasis on understanding how gut microbiome composition affects human health. She has pioneered research connecting long-term antibiotic usage with microbiota-dependent effects and has made significant contributions to understanding the role of gut microbiome in conditions such as gestational diabetes, endometriosis, and polycystic ovary syndrome. Her approach integrates advanced computational methods with comprehensive health data to uncover causal relationships in microbiome research. Her recent publications demonstrate a strong trend toward integrating microbiome data with extensive digital health metrics, using machine learning approaches to identify microbial predictors of health outcomes. This work is increasingly focused on translating microbiome research into clinical applications for disease prediction and personalized medicine approaches, particularly in the context of the Estonian Biobank initiative. Major Scientific Recognition: 2025 National Science Award in medical and health sciences 2023 and 2022: Recognized among the world's top 1% most cited researchers by Clarivate Analytics 2020: Member of AcademiaNet, a portal for top female researchers 2017: EMBO Installation grant 2013: Marie Curie International Outgoing Fellowship Professor Org has secured substantial research funding as principal investigator for multiple significant projects, including 'DISCERN - Discovering the causes of three poorly understood cancers in Europe' (€245,466, European Commission) and 'Improving colorectal cancer screening and prediction using microbiome-based biomarkers' (€760,450, Estonian Research Council). She has served as an opponent for numerous PhD theses across European institutions, contributing to the development of emerging researchers in her field. As Head of the Estonian Genome Centre, Professor Org leads a multidisciplinary research team that plays a crucial role in Estonia's transition from biobanking to personalized medicine applications. She is actively involved in international collaborations through COST networks including INFOGUT (focused on in vitro colon models) and ML4Microbiome (statistical and machine learning techniques in human microbiome studies), positioning her at the forefront of global microbiome research initiatives.

Ilse DewachterView profile

Professor

• Alzheimer's Disease
• Neurodegenerative Diseases
• Therapeutic Development
• +6 more

Prof. Ilse Dewachter is the head of the Biomed Neuroscience research group at Hasselt University (UHasselt), specializing in Alzheimer’s therapy and prevention for over 25 years. Her work focuses on multi-targeted therapies targeting tau, inflammation, and ApoE, alongside pioneering research into disease prevention via blood-based biomarkers. Recent studies explore a protective APOE3ch mutation that halted Alzheimer’s progression in a patient, offering hope for new treatments. Research Interests: - Alzheimer’s disease mechanisms (Abeta, tau, inflammation) - Multi-target therapies and biomarker development - Neurodegenerative disease prevention strategies - Genetic mutations impacting disease progression Articles Overview: Her most recent work (2025-2022) addresses neuroinflammation, tau propagation models, and AI-driven neuroimaging. Key themes include APOE genetics, blood-brain barrier dynamics, and exercise impacts on cognition. Funding & Grants: Current projects require significant investment for advanced biomarker equipment and clinical trials. A notable €300,000 grant funded research on brain lipid metabolism’s role in Alzheimer’s. Labs & Teams: Leads the BIOMED Neuroscience group at UHasselt, collaborating internationally on preclinical models and drug development.

Igor JurisicaView profile

Professor

• Data Science and Computational Biology
• Machine Learning
• Artificial Intelligence
• +6 more

Igor Jurisica is a Professor at the University of Toronto and a Senior Scientist at the Krembil Research Institute’s Data Science Discovery Centre for Chronic Diseases. He also serves as Visiting Scientist at IBM CAS, Scientific Director of the World Community Grid, and Chief Scientist at the Creative Destruction Lab (Rotman School of Management). His research focuses on integrative computational biology, data mining, and AI-driven models for cancer mechanisms, drug discovery, and chronic disease management. Key affiliations include the Osteoarthritis Research Program, Schroeder Arthritis Institute, and leadership roles in open science initiatives like the World Community Grid, a global distributed computing platform with 810,000+ volunteers. Jurisica’s work bridges computational tools (e.g., NAViGaTOR visualization platform, MirDIP databases) and clinical applications, emphasizing explainable AI in healthcare. Research interests span proteomics, microRNA regulation, systems vaccinology, and multi-omics integration for disease stratification. Notable contributions include identifying prognostic signatures in cancer and osteoarthritis, machine learning models for drug repurposing, and sportomics analyses of athletic biomarkers. He has been recognized as a Thomson Reuters Highly Cited Researcher (2014-2016) and ranked among the Top 100 AI Leaders in Oncology (2023). His labs develop open-access tools like PathDIP, OsteoDIP, and miRAnno to advance translational research.

Angelica Lindén HirschbergView profile

Professor

• Reproductive Medicine
• Endocrinology
• Polycystic Ovary Syndrome (PCOS)
• +5 more

Angelica Lindén Hirschberg is a Professor of Obstetrics and Gynecology (specializing in reproductive medicine) at Karolinska Institutet and a Senior Consultant in gynecological endocrinology at Karolinska University Hospital. She holds dual roles in academic leadership and clinical practice, focusing on disorders of reproductive function, endocrine-metabolic dysfunction, and hormonal conditions in women. Her affiliations include the Department of Women’s and Children’s Health, Reproductive Endocrinology and Metabolism Research Group, and the Division for Neonatology, Obstetrics, Gynaecology, and Reproductive Health. Education and Career: MD (Karolinska Institutet, 1984) PhD (Karolinska Institutet, 1989) Professor in Obstetrics and Gynecology (2007) Board member of international societies (ISGE, EMAS) Research Focus: Her translational research spans PCOS, obesity-related reproductive dysfunction, premature ovarian insufficiency, and disorders of sex development. Projects include hormonal impacts on athletic performance, immune therapy for ovarian dysfunction, and endometrial cell biology. Collaborations involve national/international networks and clinical trials (e.g., PROBES trial). Publications: Recent work emphasizes PCOS pathophysiology, menopausal health, and hormonal interventions in athletes. Key trends include single-cell profiling of endometrium, immunomodulatory therapies for POI, and non-hormonal treatments for vasomotor symptoms. Awards: King’s Seraphim Medal (2018) 2016 Grand Prize in Sport Science Appointed Royal Gynecologist (2009) Teaching and Mentorship: Coordinates courses on reproductive endocrinology, supervises PhD students (e.g., Esin Ylmaz), and chairs the PhD Study Director at her department. Authored over 25 book chapters on women’s health and sports medicine. Grants and Labs: Secured Swedish Research Council funding for POI trials. Her lab integrates experimental (Bioclinicum) and clinical (Women’s Health Research Unit) research.

Maria ChikinaView profile

Assistant Professor

• Computational Biology
• Genomics
• Machine Learning
• +7 more

Maria Chikina is an Assistant Professor at the University of Pittsburgh School of Medicine's Department of Computational and Systems Biology. She holds a PhD in Molecular Biology from Princeton University. Her research focuses on developing computational methods to analyze large-scale genomic datasets, bridging statistical rigor with biological insights to overcome experimental biases. Key research areas include latent variable modeling (e.g., PLIER, CellCODE), interpretable neural networks for sequence-to-function modeling, evolutionary rate analysis (RERconverge), and applications in tumor immunology, exercise genomics, and infectious disease (e.g., SARS-CoV-2). Her lab has developed tools like InstaPrism, NIFA, and L0 segmentation for data-driven biological discovery. Her work spans collaborations with institutions like UPMC (on tumor microenvironment) and the Molecular Transducers of Physical Activity Consortium (MoTraPAC). Notable projects include analyzing convergent evolution in marine mammals and subterranean species, and developing epigenetic biomarkers for disease states through the ECHO program. Lab members include PhD students (Rezwan Hosseini, Tugrul Balci) and postdocs (Tina Subic, Anish Sevekari). Past students Wynn Meyer now leads a group at Lehigh University. Her group emphasizes open-source tools (GitHub repository ChikinaLab) and interdisciplinary approaches to systems biology challenges.

Joshua J. CoonView profile

Professor

• Bioanalytical Chemistry
• Mass Spectrometry
• Proteomics
• +4 more

Joshua J. Coon is a Professor at the University of Wisconsin-Madison with appointments in the Department of Biomolecular Chemistry and the Department of Chemistry. He leads the Coon Group, focusing on advancing mass spectrometry technologies for proteomics, metabolomics, and lipidomics. His research addresses fundamental questions in cell biology, including stem cell differentiation, epigenetic regulation, and cancer biomarker discovery. Affiliations : Director of the NIGMS National Center for Quantitative Biology of Complex Systems. Research Emphasis : Instrumentation development, data analysis software, ion chemistry, and biological applications of proteomics. Laboratory : Located in the Genome Center of Wisconsin with a dozen hybrid mass spectrometers, including Orbitrap systems. Collaborations : Long-term partnership with Thermo Fisher Scientific and the Wisconsin Alumni Research Foundation (WARF) for technology commercialization. Training : Mentored 27 Ph.D. students since 2009, emphasizing interdisciplinary research and professional development.

• Respiratory Physiotherapy
• Pulmonary Rehabilitation
• COPD
• +7 more

Anne Holland is Professor of Physiotherapy and Head of Respiratory Research at Monash University and Alfred Health in Melbourne, Australia. She is an NHMRC Leadership Fellow (2021–2025) and a Chief Investigator for the NHMRC Centre of Research Excellence in Pulmonary Fibrosis and the NHMRC Centre of Research Excellence in Treatable Traits. Her research focuses on supportive therapies for chronic respiratory diseases, particularly COPD and pulmonary fibrosis, with a strong emphasis on pulmonary rehabilitation, telerehabilitation, and ambulatory oxygen therapy. Her research interests include: Respiratory physiotherapy Pulmonary rehabilitation (home-based and low-cost models) Access to care for chronic lung disease Telerehabilitation and digital health Symptom management in interstitial lung disease Exercise training and physical activity promotion Her recent publications focus on symptom management, digital self-management tools, treatable traits models, and clinical trials in pulmonary fibrosis and COPD. The body of work reflects a strong trend toward patient-centered, accessible, and evidence-based interventions that improve quality of life and clinical outcomes in chronic respiratory conditions. Her major scientific awards include: Society Medal, Thoracic Society of Australia and New Zealand (2021) European Respiratory Society Gold Medal for Allied Health Professionals (2022) NHMRC Investigator Fellow (Leadership 1) (2021) Fellow, Thoracic Society of Australia and New Zealand (2019) American Thoracic Society Pulmonary Rehabilitation Assembly Award (2016) Anne Holland supervises PhD students and is actively involved in advising and grant leadership. She is the Primary Chief Investigator on major trials such as the PERFORM trial and the TAPPET trial, and she leads a multinational ambulatory oxygen trial for fibrotic lung disease. Her work is supported by NHMRC and international collaborations. She is also President of the Thoracic Society of Australia and New Zealand, reflecting her leadership in the field. Anne leads the Holland Respiratory Care Research Group at Monash, which focuses on innovative models of care delivery, validation of remote monitoring tools, and improving patient self-management in chronic lung disease. The team collaborates widely across Australia and internationally, particularly in trials involving pulmonary rehabilitation and treatable traits.

Moritz RossnerView profile

Professor

• Molecular Neurobiology
• Behavioral Neurobiology
• Mouse Genetics
• +7 more

Professor Moritz Rossner serves as Head of the Department of Molecular and Behavioral Neurobiology at the Department of Psychiatry and Psychotherapy, Faculty of Medicine, Ludwig-Maximilians-Universität München (LMU). His research integrates molecular and behavioral approaches to understand the neurobiological underpinnings of psychiatric disorders, particularly schizophrenia and bipolar disorder. Rossner's research interests focus on molecular neurobiology and behavioral analysis using mouse models. His laboratory employs advanced techniques including mouse genetics , behavioral phenotyping , biosensors , next-generation sequencing , and transcriptomics to investigate psychiatric risk genes and pathways. His work bridges cellular and molecular mechanisms with behavioral outcomes, particularly in schizophrenia and bipolar disorder research. Analysis of Rossner's 15 most recent publications (2025) reveals a strong focus on precision psychiatry , neuroimaging biomarkers , and genetic mechanisms underlying psychiatric disorders. His research increasingly incorporates multimodal approaches combining neuroimaging, genomics, and clinical phenotyping to develop biologically informed diagnostic and treatment frameworks. Key themes include blood-brain barrier dysfunction in schizophrenia, inflammatory contributions to symptom severity, and pathway-specific polygenic scores for treatment prediction. Rossner leads the Molecular & Behavioural Neurobiology working group at LMU's Department of Psychiatry and Psychotherapy, which includes specialized units like the Mouse Behavioral Unit. His research program appears well-funded through multiple collaborative projects focused on understanding the molecular basis of psychiatric disorders and developing novel therapeutic approaches.

Facundo M. FernandezView profile

Professor

• Analytical Chemistry
• Bioanalytical Mass Spectrometry
• Ambient Sampling/Ionization
• +4 more

Facundo M. Fernandez is a Regents' Professor and Vasser-Woolley Chair in Bioanalytical Chemistry at the Georgia Institute of Technology, where he leads the Fernandez Research Group within the School of Chemistry and Biochemistry in the College of Sciences. His research spans multiple cutting-edge areas of analytical chemistry with significant applications in medicine, forensics, and basic science. Dr. Fernandez earned his M.Sc. in Chemistry (1996) and Ph.D. in Analytical Spectrometry/Metallomics (1999) from the Facultad de Ciencias Exactas y Naturales at Buenos Aires University, Argentina. His research program focuses on Bioanalytical Mass Spectrometry with particular emphasis on Ambient Sampling/Ionization & Molecular Imaging, Ion Mobility Spectrometry, Metabolomics, and Pharmaceutical Forensics. His work has pioneered new approaches in ambient ionization techniques that enable direct analysis of complex samples without extensive preparation. His recent publications reveal a strong trend toward spatial metabolomics, particularly in traumatic brain injury and ovarian cancer research, with increasing integration of machine learning approaches for data analysis. His work also extends to pharmaceutical quality control, exercise physiology through the MoTrPAC consortium, and prebiotic chemistry investigations. The interdisciplinary nature of his research is evident in collaborations across Georgia Tech's campus and with external institutions. NSF CAREER Award (2007) 3M Non-tenured Faculty Award (2008) CETL/BP Junior Faculty Teaching Excellence Award (2009) Ron A. Hites Award for Outstanding Research Publication (2010) Sigma Xi (GT Chapter) Best Faculty Paper Award (2010) Vasser-Wooley Faculty Fellow (2012) Dr. Fernandez has secured significant funding for his research, including NSF CAREER support, and leads projects related to metabolomics for ovarian cancer detection, pharmaceutical forensics through the CODFIN network, and participation in the large-scale Molecular Transducers of Physical Activity Consortium (MoTrPAC). His laboratory develops advanced instrumentation for mass spectrometry applications and maintains strong collaborations with the Integrated Cancer Research Center, the College of Computing, and the Center for Chemical Evolution at Georgia Tech.

Ali ShojaieView profile

Professor

• Biostatistics
• Statistics
• Machine Learning
• +4 more

Ali Shojaie is a Professor of Biostatistics and Statistics at the University of Washington, serving as Associate Chair for Strategic Research Affairs in the Department of Biostatistics. He leads the Summer Institute for Statistics in Big Data (SISBID) and the Data Management and Statistics (DMS) Core for the UW Alzheimer's Disease Research Center. His research focuses on developing statistical and machine learning methods for high-dimensional data, with applications in genomics, neuroscience, and public health. Shojaie's work includes advancements in graphical models, Granger causality, and spatial statistics. He has contributed to methodologies for analyzing networks from time series and spatial data, with applications in understanding gene regulatory networks and brain connectivity. His recent projects involve NIH-funded grants exploring gene-phenotype associations using omic data and explainable machine learning for brain stimulation research. Scientific awards include the 2022 Leo Breiman Award from ASA's Statistical Learning and Data Science section, and election as a Fellow of the Institute of Mathematical Statistics (IMS) and American Statistical Association (ASA). He serves on editorial boards for journals like the Journal of the American Statistical Association and Biometrika. Shojaie advises numerous PhD students and postdocs, many of whom have secured academic and industry positions. His lab develops open-source software tools, including the netgsa and ngc packages for network analysis and Granger causality estimation.