جست‌وجوی استاد و پژوهشگر

• Biomedicine
• Biotechnology
• Cancer Eradication
• +۴ مورد دیگر

Stephen Johnston is a Professor in the School of Life Sciences at Arizona State University (ASU) and Director of the Center for Innovations in Medicine at The Biodesign Institute. He holds a 50% appointment as an ASU professor and serves as CEO of Calviri, Inc. His research focuses on groundbreaking solutions in biomedicine, including cancer eradication via universal preventive vaccines and health futures through continuous health monitoring systems. He pioneered technologies like the gene gun, genetic immunization, and immunosignaturing. With over 150 journal articles and $85M in grants from agencies like DARPA, he leads a team of ~25 at Calviri. Johnston earned his PhD in Genetics and Plant Breeding from the University of Wisconsin-Madison in 1981. Education: PhD in Genetics and Plant Breeding from University of Wisconsin-Madison (1981) Key Projects: Cancer vaccine development, pre-symptomatic diagnostics, and translational biotechnology Grants: DARPA, NIAID, NHLBI Labs/Teams: Center for Innovations in Medicine, Calviri, Inc. His work bridges basic science and applied technology, with innovations impacting fields from infectious disease to chronic illness prevention.

Erel Levineمشاهده پروفایل

دانشیار

• Systems Biology
• Synthetic Biology
• Computational Biology
• +۶ مورد دیگر

Erel Levine is an Associate Professor in the Department of Bioengineering at Northeastern University's College of Engineering, with an additional affiliation in the Chemical Engineering department. He joined the bioengineering department in January 2019 and maintains an active research program focused on complex biological systems. His educational background includes a Ph.D. in Theoretical Physics from the Weizmann Institute of Science (2005), an M.Sc. in Applied Physics from the same institution (1999), and a B.Sc. in Computer Sciences and Physics from Hebrew University in Jerusalem (1997). Levine's research program centers on systems and synthetic biology of the Brain-Immune-Gut super-system, with particular emphasis on host-microbe interactions and deep learning applications in biological data interpretation. His laboratory develops innovative approaches combining quantitative experiments, computational models, and machine learning to study distributed biological systems across multiple scales. His recent publications demonstrate a strong focus on microfluidic platforms for C. elegans research, spatial organization of membrane proteins, feeding dynamics, and gene regulation mechanisms. The work spans molecular, cellular, and organismal levels, with applications to understanding microbiome dynamics and gut-brain interactions. His scientific recognition includes the 2025 Fostering Engineering Innovation in Education Award and a National Science Foundation Postdoctoral Fellowship from the Center for Theoretical Biological Physics. 2025 Fostering Engineering Innovation in Education Award National Science Foundation Postdoctoral Fellowship, Center for Theoretical Biological Physics Professor Levine actively mentors undergraduate students who have received prestigious awards including the AJC Merit Research Scholarship and PEAK Experiences Awards. His research is supported by grants including a National Science Foundation award for 'Sub-Cellular Localization and Small RNA and Regulation of the Outer Membrane' as Principal Investigator. The Levine Lab operates from Lab 415 Mugar at Northeastern University, utilizing advanced microfluidics, deep learning, and imaging technologies to study biological systems. The lab has developed automated high-resolution imaging platforms that combine microscopy, active deep learning, and multiplexed microfluidics to study host-microbiome interactions in real time.

• Neurosciences
• Cognitive and computational psychology
• Biological psychology
• +۳ مورد دیگر

Roni Maimon Mor is a Research Fellow at the Institute of Ophthalmology, University College London. Their work bridges neuroscience, cognitive psychology, and biomedical engineering, focusing on vision science, neural plasticity, and human-technology interaction. They investigate how sensory deprivation (e.g., congenital sight impairment) and interventions (e.g., gene therapy) reshape neural processes and perceptual abilities. Research interests include developmental vision, robotic prosthetics, and the cognitive embodiment of artificial limbs. Their studies explore how early life experiences influence motor learning and how neural systems adapt to sensory loss or technological augmentation. Mor’s interdisciplinary approach integrates neuroimaging (e.g., fMRI, EEG), behavioral experiments, and engineering solutions like gaze-tracking systems for pediatric diagnostics. Publications highlight advancements in gene therapy outcomes for retinal dystrophies, cortical plasticity in sensory-deprived populations, and neural correlates of prosthetic limb use. Their work contributes to clinical tools for vision assessment and theoretical models of body representation. No scientific awards explicitly listed. Research is supported by collaborations in ophthalmology, robotics, and cognitive science. Mor’s lab at UCL focuses on translating neural findings into therapeutic and assistive technologies.

Alex Keeneمشاهده پروفایل

استاد

• Neuroscience
• Sleep Disorders
• Metabolism
• +۳ مورد دیگر

Alex Keene is a Professor & Department Head at Texas A&M University, leading the Keene Lab focused on neural mechanisms underlying sleep, metabolism, and evolutionary adaptations. His research uses Mexican cavefish as a model to study sleep-metabolism interactions and evolutionary changes in nutrient-poor environments. Key contributions include genetic screens, brain atlases, and functional imaging of cavefish neural circuits. Education: B.Sc., University of Massachusetts-Amherst, 2002 Ph.D., Biomedical Sciences, University of Massachusetts Medical School, 2006 Research Interests: Dr. Keene explores how sleep and metabolism are genetically and neurologically integrated, particularly in extreme environments. His lab investigates cavefish adaptations, such as sleep intensity changes and hypothalamic reorganization, to uncover conserved mechanisms in sleep regulation and metabolic survival strategies. Publications: Recent work highlights sleep’s role in glial function, circadian rhythm disruption in cancer, and cavefish sensory evolution. His studies bridge genetics, neurobiology, and ecology to address fundamental questions in sleep physiology and evolutionary biology. Labs/Teams: The Keene Lab is located in Butler Hall (Office Rm 100, Lab Rm 201) and collaborates on projects involving comparative genomics, behavioral profiling, and neural imaging in model organisms.

Fulai Jinمشاهده پروفایل

دانشیار

• 3D Genome Architecture
• Computational Biology
• Genomics
• +۳ مورد دیگر

Fulai Jin, PhD, is an Associate Professor in the Department of Genetics and Genome Sciences at Case Western Reserve University School of Medicine, with joint appointments in the Department of Population and Quantitative Health Sciences and the Department of Computer and Data Sciences. He is also Co-Leader of the Cancer Genomics and Epigenomics Program at the Case Comprehensive Cancer Center. Dr. Jin holds a PhD in Molecular and Medical Pharmacology from UCLA and bachelor’s degrees in Biology and Computer Science from USTC. His postdoctoral training at the Ludwig Institute for Cancer Research focused on genomics and epigenetics. His research focuses on 3D genome architecture, computational tools for genomic data integration, and single-cell technologies applied to health and disease. Key areas include cancer, diabetes, and neurological disorders, with a focus on chromatin structure, enhancer function, and ancestry-related disease mechanisms. His lab develops low-input 3D genome mapping methods and employs CRISPR tools, scRNA-seq, and multi-omic integration. Research is funded by NIH grants. Dr. Jin seeks motivated students/postdocs with experimental or computational expertise. The lab’s work is detailed on their website, and publications are listed on PubMed.

• Applied Artificial Intelligence
• Machine Learning
• Health Informatics
• +۷ مورد دیگر

Dr. Abdur Forkan is a Senior Research Fellow in AI and Machine Learning at Swinburne University of Technology's School of Science, Computing and Emerging Technologies. He also holds honorary research positions at Peter MacCallum Cancer Centre and Northern Health. His work focuses on applied AI and machine learning across digital health, Industry 4.0, FinTech, AgriTech, and supply chain optimization. He has led over a dozen industry projects, delivering impactful solutions such as AI-driven healthcare systems, manufacturing efficiency tools, and agricultural disease prevention models. Education: PhD in Computer Science, RMIT University (2016) B.Sc. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2007) Research Interests: Data Science and Health Informatics Pervasive Computing and IoT Applications AI in Healthcare and Industry Awards: 2023 iAwards National Winner (Government/Public Sector Solution) 2023 iAwards VIC Winner (Technology Platform Solution) RMIT CSIT Publication Award (2015) Grants & Collaborations: Lead on projects with industry partners like VidVersity, Sphere Holdings, and Northern Health Focus on digital twin technologies, AI in clinical decision support, and healthcare platform development Teaching & Supervision: Sessional academic at RMIT and Swinburne Supervising HDR students on topics like AI in healthcare, greenspace health impacts, and chronic disease management

• Human Genetics
• Health Sciences
• Genomics
• +۵ مورد دیگر

Mads Kaern is an Associate Professor in the Department of Cellular and Molecular Medicine, specializing in synthetic biology, gene regulation, and systems biology. His research integrates computational modeling with experimental approaches to understand cellular processes and design genetic circuits for biomedical applications. Key areas of focus include epistasis analysis, gene expression variability, and the development of educational programs in BIOSTEM. Research interests span molecular mechanisms of gene regulation, synthetic biology applications, and quantitative analysis of genetic interactions. His work emphasizes interdisciplinary methods combining genomics, bioinformatics, and engineering principles to address complex biological questions. Publications highlight contributions to understanding cellular heterogeneity, improving DNA assembly techniques, and advancing therapeutic strategies through synthetic biology. Educational efforts include initiatives like iGEM-inspired programs to enhance undergraduate research and skill development in biotechnology.

• Bayesian Statistics
• Cluster Analysis
• Data Science
• +۵ مورد دیگر

Bettina Grün is an Associate Professor and Deputy Head of the Institute for Statistics and Mathematics at Vienna University of Economics and Business (WU). Her research focuses on Bayesian mixture models, cluster analysis, and applying statistical methods to sustainability, tourism, and environmental studies. She has led multiple research projects, including studies on environmental behavior in tourism and advanced text modeling in economics. Grün holds a PhD in Technical Mathematics from TU Wien (2006) and a Habilitation in Statistics from Johannes Kepler University Linz (2012). She has authored over 150 publications in top journals like Journal of Environmental Management and Expert Systems with Applications . Her work emphasizes practical applications, such as reducing hotel waste through behavioral interventions and developing R packages like movMF and circlus for statistical clustering. Grün has received awards including the AIEST Best Contribution Award (2019) and the MRS Silver Medal (2016). Grün teaches courses on statistical modeling and leads projects like Analysis of Central Bank Communication (2022–2026) and Environmentally Friendly Behavior in Tourism (2019–2024).

• Gravitational Physics
• General Relativity
• Gravitational-Wave Astrophysics
• +۴ مورد دیگر

Alessandra Buonanno is a Research Professor at the University of Maryland, College Park, and Director at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute) in Potsdam. Her primary affiliation is with the Department of Physics at UMD, and she holds honorary professorships at Humboldt University and Potsdam University. She leads the Astrophysical and Cosmological Relativity department at the Max Planck Institute. Education: PhD in Physics from the University of Pisa (1996), following a Master's in Physics (Laurea, 1993). Postdoctoral work included stints at the Institut des Hautes Études Scientifiques (France), Caltech, and CNRS institutes in Paris. Research focuses on gravitational physics, including theoretical and phenomenological aspects of gravitational waves, general relativity, and astrophysical applications. She contributed to the LIGO Scientific Collaboration's groundbreaking detection of gravitational waves, earning numerous accolades such as the Balzan Prize (2021), Dirac Medal (2021), and Gottfried Wilhelm Leibniz Prize (2018). Publications emphasize high-field superconducting magnets for particle colliders, quantum gravity, and gravitational wave modeling. She leads projects like the Muon Collider's magnet design and coordinates international collaborations in particle physics and cosmology. Awards include the European Research Council's Synergy Grant (2024), Oskar Klein Medal (2023), and membership in prestigious academies like the US National Academy of Sciences and Leopoldina. Service roles include roles on the Kavli Prize Committee, the LISA Consortium Board, and the European Space Agency's Voyage 2050 committee. She is a Principal Investigator for the LIGO collaboration and actively contributes to advancing quantum-resistant cryptography and superconducting technologies.

• Nanophotonics
• Optical Tweezers
• Active Matter
• +۴ مورد دیگر

Giovanni Volpe is a Professor at the Department of Physics, University of Gothenburg. His research focuses on nanophotonics, optical tweezers, active matter, and machine learning applications in microscopy and neurodegenerative diseases. He leads the Soft Matter Lab (http://softmatterlab.org/) and collaborates internationally in interdisciplinary projects. His work bridges physics, biology, and AI, addressing challenges in nanoparticle manipulation, biomedical imaging, and neurodegenerative disease modeling. Key research areas include optical trapping of nanoparticles, self-assembly of colloidal systems, and leveraging deep learning for microscopy and sensor technologies. Recent publications span neurodegenerative disease pathways, advanced optical microscopy techniques, and plasmonic sensor development. Volpe's team has pioneered methods in computational neuroscience and nanotechnology. His lab's innovations include novel optical tweezers control algorithms and neural network models for analyzing complex biological systems. Collaborations span materials science, biophysics, and cognitive neuroscience, with applications in healthcare and environmental monitoring.

• Statistics
• High-Dimensional Data Analysis
• Statistical Genetics
• +۷ مورد دیگر

Aaron J Molstad is an Assistant Professor in the Department of Statistics at the University of Minnesota – Twin Cities, within the College of Science and Engineering. His research lies at the intersection of statistical methodology and genomic data science, with a focus on developing rigorous and scalable methods for modern high-dimensional datasets. His research interests include high-dimensional statistics, covariance and precision matrix estimation, regression modeling with structured responses, variable selection, and integrative analysis of omics data. He develops methods tailored for compositional data, multivariate responses, and ancestry-specific genetic association studies, contributing to both theoretical statistics and public health applications. The recent publications and funded projects highlight a strong trend in developing objective, reliable, and heterogeneous-aware statistical frameworks for genomics and biomedicine. His work emphasizes methodological innovation with direct applicability to complex biological data, particularly in diverse populations and multi-omics integration. Awarded grants from the National Science Foundation and the National Institutes of Health demonstrate recognition of his research’s significance and impact. These include projects on inference from omics data, new regression models for categorical responses, and integrative genomics in African American populations. Objective and reliable methods for inference from modern omics data (NSF, 2024–2027) Collaborative Research: New Regression Models for Multiple Categorical Responses (NSF, 2024–2025) Integrative Genomics into Genetic Association Studies of Blood Pressure and Stroke in African Americans (NIH/Fred Hutchinson, 2023–2024) Dr. Molstad advises and collaborates on major genomic studies involving protein expression, blood pressure, stroke, and ancestry-specific effects. While specific PhD students are not listed, his role as Principal Investigator on multiple grants indicates mentorship of graduate researchers and postdoctoral scholars. He is also active in the broader statistical community, with publications in top-tier journals such as Biometrika , Biometrics , and Genome Biology .

Henrik Jeldtoft Jensenمشاهده پروفایل

استاد

• Complexity Science
• Statistical Mechanics
• Mathematical Physics
• +۷ مورد دیگر

Henrik Jeldtoft Jensen is a Professor of Mathematical Physics and leads the Centre for Complexity Science at Imperial College London. His work spans multiple disciplines, focusing on the statistical mechanics of complex systems, with applications in physics, biology, neuroscience, and finance. Professor, Mathematical Physics Leader, Centre for Complexity Science Institution: Imperial College London His research interests lie at the intersection of theoretical physics and complex systems. He is best known for developing the Tangled Nature Model of evolving ecosystems, which has been extended into financial modeling through the Tangled Finance approach. His work in brain dynamics involves analyzing fMRI and EEG data using tools from statistical physics. He has made significant contributions to self-organized criticality and stochastic dynamics of complex systems, particularly in condensed matter and evolutionary contexts. The recent publications reflect a strong trend toward interdisciplinary complexity science, integrating concepts from physics, biology, economics, and neuroscience. Keywords across these works include complexity, statistical mechanics, dynamical systems, and network theory, with subfields ranging from neural avalanches to financial instability and biodiversity modeling. Henrik Jensen is the author of two influential books: Self-Organized Criticality and Stochastic Dynamics of Complex Systems (with Paolo Sibani), which have been widely cited across disciplines. He has supervised numerous PhD and postdoctoral researchers through the Centre for Complexity Science, though specific names are not listed. His research has been supported by grants from UK research councils and international collaborations, particularly in interdisciplinary complexity projects. He is affiliated with the Centre for Complexity Science, a multidisciplinary research hub at Imperial College London that brings together physicists, mathematicians, biologists, and social scientists to study complex adaptive systems.

Camille Berthelotمشاهده پروفایل

پژوهشگر

• Comparative Functional Genomics
• Evolutionary Genomics
• Gene Regulation
• +۱۲ مورد دیگر

Camille Berthelot is a Principal Investigator and head of the Comparative Functional Genomics research group at the Institut Pasteur in Paris, France. Her work lies at the intersection of evolutionary biology, genomics, and reproductive physiology, with a focus on understanding how genomic changes drive evolutionary innovations in vertebrates, particularly the evolution of menstruation in primates. Her research leverages cutting-edge technologies including single-cell RNA sequencing, organoid models, and computational frameworks to compare gene expression and regulation across species such as humans, macaques, and mice. She investigates how evolutionary changes in gene function contribute to novel traits and how these relate to diseases like endometriosis. A major focus is the use of menstrual fluid as a non-invasive biomarker source for endometriosis, a direction highlighted in her systematic review published in Reproductive Biology and Endocrinology . Her recent publications span high-impact journals such as Science , Genome Research , and Nature Ecology & Evolution , covering topics from teleost fish phylogeny to regulatory evolution in mole-rats. These works reveal a consistent trend in using comparative genomics to decode deep evolutionary questions, often in collaboration with institutions like QMUL and INSERM. ERC Starting Grant (EVOMENS) – Decoding the genetics of menstruation evolution in primates Collaborative project on hypoxia adaptation in mole-rats Development of bioinformatics tools like FINSURF for non-coding variant classification She actively mentors a team of postdocs, PhD students, and master’s interns, including Claire Lavergne, Leo Zeitler, and Eulalie Liorzou. Former members such as Malgorzata Gazda and Axelle Brulport have gone on to independent academic positions, reflecting her role in training next-generation scientists. Camille Berthelot returned from maternity leave in June 2024 and remains actively engaged in research, publication, and team leadership at the Institut Pasteur.

Ellen M. Considineمشاهده پروفایل

استادیار

• GeoHealth
• Planetary Health
• Data Science
• +۷ مورد دیگر

Ellen M. Considine is an incoming Assistant Professor of Geography and Fellow of CIRES at the University of Colorado Boulder, starting August 2025. Her work integrates environmental change, health and wellbeing, and data science to develop pragmatic, equitable solutions for public and planetary health challenges. Education: PhD in Biostatistics from Harvard University (2025) BS in Applied Mathematics from CU Boulder Research Interests: GeoHealth and Planetary Health Applied Statistics and Data Science Policy and Decision-Making under Uncertainty Environmental Justice in Air Quality AI/ML Applications for Climate-Health Low-Cost Sensor Networks for Equitable Monitoring Scientific Awards: American Statistical Association Student Paper Competition Winner (2024) NSF Graduate Research Fellowship (2020) CU Boulder Outstanding Graduate (2020) Publications focus on causal inference for plastic waste policy analysis, AI-driven heat alerts, sensor equity in air quality, wildfire PM2.5 modeling, and interdisciplinary data science applications. She emphasizes environmental justice and equity in all projects.

• Pulmonary Medicine
• Chronic Obstructive Pulmonary Disease (COPD)
• Idiopathic Pulmonary Fibrosis (IPF)
• +۷ مورد دیگر

Fernando Martinez is a Professor and holds the Joseph D. Early Chair in Biomedical Research at UMass Chan Medical School, where he is affiliated with the Department of Medicine in the T.H. Chan School of Medicine. His research focuses on pulmonary medicine, particularly chronic obstructive pulmonary disease (COPD), idiopathic pulmonary fibrosis (IPF), and interstitial lung diseases (ILD). BS in Interdisciplinary Sciences, University of Florida MS in Biostatistics & Clinical Study, University of Michigan MD, University of Florida College of Medicine Dr. Martinez's research interests center on understanding the pathogenesis, progression, and treatment of chronic lung diseases. He employs advanced methodologies such as quantitative CT imaging, genomics, proteomics, and machine learning to identify biomarkers and define disease endotypes. His work emphasizes precision medicine approaches to improve diagnosis, risk stratification, and therapeutic outcomes in COPD and pulmonary fibrosis. His recent publications reveal a strong focus on clinical trials, disease phenotyping, and biomarker discovery. Key themes include the use of quantitative imaging to assess COPD severity, genetic and proteomic determinants of survival in IPF, and the development of novel therapies for progressive fibrotic lung diseases. He frequently publishes in high-impact journals and contributes to major clinical guidelines. Joseph D. Early Chair in Biomedical Research Dr. Martinez is actively involved in large-scale collaborative research initiatives such as SPIROMICS and COPDGene, which investigate the heterogeneity and progression of COPD. He has led and contributed to numerous clinical trials evaluating new pharmacological treatments for COPD and IPF. His work has significant implications for clinical practice and public health policy. He is a key contributor to multidisciplinary teams focused on interstitial lung disease and has helped shape diagnostic and management approaches through official statements from the American Thoracic Society and GOLD.