جست‌وجوی استاد و پژوهشگر

Sarah Aldermanمشاهده پروفایل

استادیار

• Comparative Physiology
• Environmental Toxicology
• Endocrinology
• +۳ مورد دیگر

Sarah Alderman is an Assistant Professor in the Department of Integrative Biology at the University of Guelph, within the College of Biological Science. Her research focuses on comparative animal physiology, particularly examining how environmental stressors like temperature and pollutants affect physiological systems in aquatic organisms. She leads the Alderman Lab ( comparativephys.ca/aldermanlab ), which investigates stress physiology, endocrinology, and toxicology in species such as salmon, zebrafish, and reptiles. Her teaching includes courses like ZOO*3600 - Comparative Animal Physiology I (Fall 2024) and ZOO*3620 - Comparative Animal Physiology II (Winter 2025). Research themes emphasize the impacts of diluted bitumen exposure on fish development, cortisol regulation in stress responses, and proteomic adaptations to environmental challenges. Her work bridges basic physiology with applied conservation and environmental management. Dr. Alderman’s publications highlight interdisciplinary approaches, combining molecular biology, ecology, and toxicology. Key areas include latent toxicity of pollutants, stress signaling pathways in fish, and biomarkers of parasitism in aquatic species. Her lab’s findings contribute to understanding organismal resilience and ecosystem health under anthropogenic pressures.

Timothee Lionnetمشاهده پروفایل

دانشیار

• Single-Molecule Imaging
• Gene Expression
• Single-cell Biology
• +۵ مورد دیگر

Timothee Lionnet is an Associate Professor in the Department of Cell Biology at NYU Grossman School of Medicine. He holds a PhD from the University of Paris and completed postdoctoral training at Albert Einstein College of Medicine in Robert H Singer's lab. His research focuses on understanding how cells regulate gene expression through single-molecule imaging, bridging molecular-scale observations with cellular and tissue-level processes. Education: PhD in Paris, Postdoc at Einstein College of Medicine His work integrates live-cell imaging technologies, computational modeling, and systems genetics to investigate transcriptional dynamics, epigenetic regulation, and cellular responses to environmental cues. The Lionnet Lab develops novel tools to visualize gene activity in real time, aiming to uncover principles of robust gene expression programs and their role in diseases like cancer and viral reactivation. Recent research highlights include studies on chromatin landscape evolution in acute lymphoblastic leukemia, transcriptional stochasticity, and therapeutic resistance mechanisms in cancer cells. The lab collaborates on projects involving zinc finger design for genome editing and systems-level analysis of melanoma genetics. Lab activities emphasize interdisciplinary approaches, combining quantitative biology with clinical insights to advance regenerative medicine and cancer therapy strategies.

Doron Betelمشاهده پروفایل

استادیار

• Computational Genomics
• Bioinformatics
• Single-cell RNA-seq Analysis
• +۳ مورد دیگر

Doron Betel serves as an Assistant Professor at Weill Cornell Medicine's Graduate School of Medical Sciences, with affiliations in both the Physiology, Biophysics & Systems Biology and Computational Biology programs. He directs the Applied Bioinformatics Core (ABC), a central service group providing specialized computational and analytical support for biomedical research across multiple institutions. Dr. Betel's research focuses on developing computational genomic tools for studying human diseases and cellular development, with emphasis on integrative analyses of genomic and epigenomic data from high-throughput assays. His work addresses specific questions related to disease progression, treatment response, stem cell differentiation, and neurological processes through two closely interacting research groups: the Applied Bioinformatics Core and his independent research lab. The analysis of his recent publications reveals a strong emphasis on single-cell and spatial genomics, cross-species data integration, and machine learning applications in cancer immunology and neurodegenerative disease modeling. His research spans multiple high-impact areas including cancer immunotherapy, stem cell biology, diabetes research, and cardiovascular regeneration, with numerous publications in top journals like Nature, Cell, and Nature Immunology. Through the Applied Bioinformatics Core, Dr. Betel provides extensive analytical support across various genomic platforms including single-cell RNA-seq, spatial transcriptomics, ChIP-seq, ATAC-seq, and variant calling. The Core serves as a vital resource for researchers at Weill Cornell Medicine and the broader Tri-Institutional network, offering specialized analysis, computational pipelines, and training services. Dr. Betel maintains extensive collaborations with leading researchers including Lorenz Studer at MSKCC for stem cell and neurodegenerative disease research, Tuomas Tammela for cancer genomics, and multiple immunology researchers studying T cell function in autoimmunity and cancer. His work bridges computational methodology development with direct biomedical applications across multiple disease areas.

Mikail Rubinovمشاهده پروفایل

استادیار

• Network Neuroscience
• Computational Neuroscience
• Brain Connectivity
• +۴ مورد دیگر

Mikail Rubinov serves as Assistant Professor of Biomedical Engineering (primary appointment), Computer Science, Psychiatry, and Psychology at Vanderbilt University's School of Engineering. His interdisciplinary work bridges computational neuroscience, network science, and clinical applications. His research focuses on integrative statistical models of large-scale neural data , exploring brain network organization across species and scales. Key interests include evolutionary principles of brain networks, transcriptomic basis of neural individuality, information transfer in neural systems, and neuropsychiatric connectivity phenotypes. The Rubinov Lab develops computational frameworks for analyzing complex neural systems and integrates neuroscientific knowledge with multi-omics data. Recent publications reveal strong trends in network neuroscience methodology development (circular analysis frameworks, unbiased sampling techniques) and translational applications (epilepsy networks, autism spectrum connectomics, gut-brain axis interrogation). His work increasingly incorporates transcriptomic data with neuroimaging at biobank scale. NIH Grant Writing Workshop (June 2022) NIH Workshop Short Talks (April 2023) Rubinov actively mentors graduate and undergraduate students across Biomedical Engineering and Computer Science. His lab maintains collaborations with UCSF, HHMI Janelia Research Campus, Weizmann Institute, and international neuroscience consortia. Current projects include integrative models of large-scale neural data and transcriptomic basis of neural individuality. The Rubinov Lab operates within Vanderbilt's Department of Biomedical Engineering with extensive cross-school collaborations. Technical resources include GitHub repositories for constraint network models (cnm-code), volumetric segmentation (voluseg), and brain connectivity toolboxes.

Megan Laura McCainمشاهده پروفایل

استاد

• Biomedical Engineering
• Tissue Engineering
• Regenerative Medicine
• +۴ مورد دیگر

Megan Laura McCain is a Professor of Biomedical Engineering at the University of Southern California (USC), with a secondary appointment in the Department of Stem Cell Biology and Regenerative Medicine at the Keck School of Medicine. She leads the McCain Lab, focused on developing microphysiological systems, particularly heart- and muscle-on-a-chip models, to study disease mechanisms and therapeutic responses. McCain holds affiliations with the Biomedical Engineering Society, American Society for Cell Biology, and American Heart Association. Her education includes a B.S. in Biomedical Engineering from Washington University in St. Louis (2006), a Ph.D. in Engineering and Applied Sciences from Harvard University (2012), and postdoctoral research at Harvard’s Wyss Institute. Notable awards include the American Heart Association Pre-doctoral Fellowship and Harvard’s Derek Bok Certificate of Distinction in Teaching. McCain’s research integrates tissue engineering, stem cell biology, and microfluidics to model complex biological systems. Her work emphasizes understanding how microenvironments influence cellular behavior in diseases like cardiovascular disorders and muscular dystrophy. Recent studies explore paracrine interactions in engineered tissues, sex-based proteomic differences in vascular cells, and hypoxia-induced signaling in cardiac fibroblasts. Her scientific contributions include advancements in 3D bioprinting, microfluidic platforms for disease modeling, and synthetic biology tools for cellular control. McCain’s lab collaborates widely to translate findings into clinical applications, such as personalized medicine and regenerative therapies.

Carlos Molinaمشاهده پروفایل

استاد

• Cancer Research
• Biology of Reproduction
• Molecular Biology
• +۴ مورد دیگر

Dr. Carlos Molina is a Professor of Molecular Biology at Montclair State University’s College of Sciences and Mathematics. Previously, he served as an Assistant Professor at Rutgers Medical School’s Department of Obstetrics, Gynecology, and Women’s Health (1994–2006). He holds a B.S. in Biology from the University of Puerto Rico, M.S. and Ph.D. in Biochemistry from Purdue University, and postdoctoral training at the University of Louis Pasteur (France). His research focuses on cancer mechanisms involving tumor suppression proteins in skin cancer cells and ovarian-specific transgenic zebrafish models for ovulation studies. These efforts aim to develop therapeutic agents and reproductive technologies. Dr. Molina has secured grants from the National Institutes of Health, National Science Foundation, and American Association of Cancer Research. He served on NIH study sections for Heart/Lung/Blood Institute and Defense Department Ovarian/Prostate Cancer initiatives. Office hours are consistently held Tuesdays and Thursdays 3:30–5:00 PM via Zoom.

Donald Wlodkowicمشاهده پروفایل

استاد

• Aquatic Ecotoxicology
• Behavioral Ecotoxicology
• Eco-Neurotoxicology
• +۷ مورد دیگر

Professor Donald Wlodkowic is a faculty member at RMIT University's School of Science (Biosciences), leading the Neurotox Laboratory. His research focuses on aquatic ecotoxicology, behavioral ecotoxicology, and eco-neurotoxicology, with expertise in neurotoxins, industrial pollutants, and neuroactive drugs' effects on central nervous systems. He innovates biomicrofluidic technologies and digital video-based analysis for high-throughput behavioral studies in toxicology. Research Interests: Aquatic toxicology, neurotoxicology, water quality, and eco-neurotoxicology. His lab develops real-time biomonitoring systems and early-warning tools for water quality assessment. Current projects include neurotoxicity studies of pollutants, high-throughput behavioral assays, and embryo-based risk assessment. Teaching: Coordinates courses in cell biology, biochemistry (BIOL2146/2333/2420, PROC2048) and supervises honors projects (ONPS2313). He integrates digital tools into bioscience curricula for innovative teaching. Advising & Leadership: Supervises Masters and PhD students in projects such as 'Emerging Pollutants on Aquatic Animal Behavior' and 'Nanotoxicology.' He has led international academic-industry collaborations in Australia, New Zealand, and Europe, fostering motivated research teams. Labs & Teams: NeuroTox Lab pioneers interdisciplinary research in ecotoxicology and neurotoxicology, combining microfluidics, digital analytics, and behavioral assays to address environmental and health challenges.

• Topology of Complex Systems
• Higher-order Networks
• Topological Neuroscience
• +۷ مورد دیگر

Giovanni Petri is a Professor in the Network Science Institute at Northeastern University London, where he joined in June 2023. Previously, he held positions at CENTAI as a Principal Researcher and at IMT Lucca as a Guest Scholar, with earlier affiliations at ISI Foundation and Imperial College London. His educational background includes a PhD in Complex Networks from Imperial College London (2012), an MSc in Theoretical Physics from the University of Pisa (2008), and a BSc in Physics from the University of Pisa (2005). Petri's research spans the analysis of neuroimaging data and AI systems with topological techniques, the formalization of cognitive control models with tools of statistical mechanics and network theory, and the study of the predictability of socio-technical systems. His work in Topological Neuroscience explores brain architecture using algebraic topology, while his research in Cognitive Neuroscience focuses on neural mechanisms underlying human cognition. He is particularly known for his work on higher-order networks, using mathematical frameworks like hypergraphs and simplicial complexes to model systems with multi-way interactions. His recent publications (2023-2025) demonstrate a strong focus on higher-order network theory applied to neuroscience, with particular emphasis on topological approaches to brain connectivity, social contagion models, and the physics of complex systems. These works reveal consistent themes in understanding how multi-body interactions shape system dynamics across biological, social, and technological domains. European Research Council Consolidator Grant (RUNES: Reconstruction and unification of neural and ecological systems, 2024) As Principal Investigator of the NPLab, Petri advises numerous PhD and postdoctoral researchers including Marilyn Gatica, Andrea Santoro, and Simone Poetto. His RUNES project, funded by the ERC Consolidator Grant, represents a significant research initiative. The lab maintains active collaborations with CENTAI, Project CETI (Cetacean Translation Initiative), and various international institutions. The NPLab investigates the role of topology and geometry in the collective dynamics of complex systems, ranging from neuroscience to society, using statistical mechanics, algebraic topology, and innovative computational approaches. Current projects include Topological Neuroscience, Cognitive Neuroscience, Higher-order Networks, Project CETI, and RUNES.

Cristian Gómez Canelaمشاهده پروفایل

استاد

• Environmental Toxicology
• Neurotoxicology
• Analytical Chemistry
• +۵ مورد دیگر

Cristian Gómez Canela is a Full Professor in the Department of Analytical and Applied Chemistry at IQS School of Engineering (IQS - Institut Químic de Sarrià), specializing in environmental analytical chemistry with a focus on neurotoxicology and aquatic toxicology. He leads the Environmental Process Engineering and Simulation Group and maintains an active research profile with significant h-index metrics reflecting substantial scholarly impact. His research interests center on environmental toxicology, particularly neurotoxicology of pharmaceuticals and other contaminants in aquatic systems. Using advanced analytical techniques including liquid chromatography and tandem mass spectrometry, his work examines the effects of neuroactive compounds on model organisms like zebrafish and Daphnia magna . His fingerprint reveals strong expertise in neurotransmitter analysis (66%), Daphnia magna toxicology (64%), serotonin-related research (27%), and neurotoxicity mechanisms (21%). His publication record shows consistent productivity with 92 scientific outputs, demonstrating increasing research activity from 2011 to the present, with particularly strong output in recent years (15 publications in 2024 alone). His work spans environmental chemistry, toxicology, and analytical methodology development, with a clear trajectory toward understanding the neurological impacts of environmental contaminants. Zebra Fish neurotoxicology (100%) Neurotransmitter analysis (66%) Daphnia magna toxicology (64%) Behavioral neuroscience (33%) Serotonin-related research (27%) Liquid chromatography methods (27%) Dr. Gómez Canela actively supervises doctoral research through the FI-2025 Joan Oró program and leads multiple significant research projects including CHEMIPARK (as Principal Investigator) and the GESPA environmental process engineering group. His current projects extend through 2028, indicating ongoing research activity and leadership in his field.

Wen Wangمشاهده پروفایل

استاد

• Biomedical Engineering
• Vascular Bioengineering
• Biomaterial Mechanics
• +۱۴ مورد دیگر

Prof Wen Wang is Professor of Biomedical Engineering and Vice-Principal and Executive Dean for Science and Engineering at Queen Mary University of London, affiliated with the School of Engineering and Materials Science and the Centre for Bioengineering. He is a Chartered Engineer and holds fellowships from the Institution of Mechanical Engineers (FIMechE), Higher Education Academy (FHEA), American Institute for Medical and Biological Engineering (FAIMBE), and the Royal Academy of Engineering (FREng), reflecting his leadership and technical excellence in engineering and biomedical sciences. His research focuses on vascular bioengineering , biomaterial mechanics , and cell biomechanics , with particular emphasis on the endothelial glycocalyx , vascular stem cells , and transmembrane transport . He employs advanced techniques such as AFM nano-indentation, confocal microscopy, and microfluidic platforms to study the mechanical properties, shear stress responses, and structural stability of biological systems. His work spans from fundamental biophysics to translational applications in drug delivery and cardiovascular disease. Prof Wang has led multidisciplinary research projects in the UK and through international collaborations with partners in the US, China, and Japan. His recent publications highlight sustained contributions to understanding microcapsule mechanics , extracellular vesicles , biofluid dynamics , and biomolecular sensing . His work integrates experimental and computational modeling, particularly in microcirculation and cellular transport phenomena. He has received notable scientific recognition through multiple prestigious fellowships and has published extensively in high-impact journals including Nature Communications , Journal of Controlled Release , Biosensors and Bioelectronics , and Journal of Fluid Mechanics . His research demonstrates a strong trajectory in both fundamental discovery and applied biomedical innovation. Prof Wang actively supervises research and collaborates with clinical and engineering partners at Queen Mary and King's College London. His leadership in the School of Engineering and Materials Science underscores his role in shaping academic strategy and research excellence in science and engineering at Queen Mary University of London.

Andreas Herzمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Coding
• Spatial Navigation
• +۳ مورد دیگر

Prof. Dr. Andreas Herz is a Chair in Computational Neuroscience at the Faculty of Biology, Ludwig-Maximilians-Universität München (LMU). His research focuses on understanding neural mechanisms underlying spatial navigation, temporal cognition, and sensory processing. He leads the Computational Neuroscience group and collaborates with the Bernstein Center for Computational Neuroscience Munich. Research Interests: Dr. Herz investigates how neural systems encode spatial and temporal information, including grid cells, head-direction systems, and neural coding strategies. His work bridges experimental neurophysiology with theoretical modeling, addressing topics like cognitive maps, neural variability, and synaptic plasticity. Teaching & Mentorship: He oversees advanced courses on computational neuroscience and neurophysiology, fostering interdisciplinary training for graduate students. His research group includes prominent collaborators like Dr. Martin Stemmler and PD Dr. Kay Thurley, focusing on projects involving neural network dynamics and behavioral neuroscience. Publications & Impact: Over 85 peer-reviewed articles highlight his contributions to understanding entorhinal-hippocampal circuits, dendritic processing, and neural representation of space/time. Key work includes studies on grid cell variability, zebrafish spatial memory, and cytoskeletal organization in dendritic spines.

• Redox Biology
• Cancer Research
• Drug Metabolism
• +۴ مورد دیگر

Zhiwei Ye is an Associate Professor in the Department of Pharmacology & Immunology at the College of Medicine, Medical University of South Carolina. His research focuses on redox biology, cancer mechanisms, and drug metabolism with a particular emphasis on mitochondrial function, oxidative stress, and therapeutic resistance. He holds a PhD in Pharmaceutical Science from Katholieke Universiteit Leuven (Belgium, 2009) and prior degrees from Zhejiang University (China). PhD in Pharmaceutical Science, 2009 – Katholieke Universiteit Leuven, Belgium Master in Pharmaceutical Science, 2005 – Katholieke Universiteit Leuven, Belgium Master in Medicine, 2003 – Zhejiang University, China B.S. in Pharmacy, 2000 – Zhejiang University, China Dr. Ye’s research explores how redox regulation impacts cancer progression, drug resistance, and metabolic disorders. His work integrates enzymology (e.g., GSTP, PDI), mitochondrial dynamics, and zebrafish models to study mechanisms like S-glutathionylation, VDAC targeting, and drug-transporter interactions. Recent studies highlight novel therapeutic strategies for hepatocellular carcinoma, melanoma, and myeloma through modulation of redox pathways. Publications emphasize translational research bridging basic biology and clinical applications, including drug development (e.g., Telintra) and understanding treatment resistance in malignancies. His work also addresses metabolic disease mechanisms, such as hepatic steatosis and drug-induced renal toxicity. No scientific awards explicitly mentioned in provided texts. Active in grant-funded research areas like cancer biology and redox signaling. Collaborates on projects involving drug-transporter profiling in hepatocytes and cellular stress responses.

• Clinical Genetics
• Molecular Genetics
• Neurodevelopmental Disorders
• +۷ مورد دیگر

Rob Willemsen is an Associate Professor in the Department of Clinical Genetics at Erasmus MC, a leading academic medical center in the Netherlands. His research is centered on the molecular and genetic basis of neurodevelopmental and inherited disorders, with a focus on fragile X syndrome and related conditions. He employs advanced models such as zebrafish and in vivo systems to investigate gene regulation, methylation dynamics, and disease mechanisms. His research interests span clinical genetics , molecular genetics , neurodevelopmental disorders , epigenetic regulation , and rare genetic diseases . Using zebrafish models, he explores gene function and pathogenic variants associated with conditions like pediatric cardiomyopathy, hereditary spastic paraplegia, and refractive errors. His work often bridges basic science with translational applications, including drug testing in preclinical models. The trends in his recent publications indicate a strong focus on gene discovery , functional genomics , and therapeutic intervention for monogenic disorders. His studies frequently involve international collaborations and multidisciplinary teams, leveraging high-throughput sequencing, transcriptomics, and animal modeling to validate candidate genes from GWAS and clinical findings. Rob Willemsen has supervised 14 research projects, indicating an active role in mentoring students and junior researchers. He has received significant attention for his work, with mentions in news outlets and citations in major journals, though specific grants or funding sources are not detailed in the text. His collaborations span multiple institutions and countries, reflecting a broad scientific network. His research is conducted within the Clinical Genetics department at Erasmus MC, where he contributes to both fundamental research and potential clinical applications. While no specific lab name is mentioned, his work involves molecular and cellular analysis, animal models, and collaboration with clinical teams to translate findings into patient care.

• Cancer Nanotechnology
• Nanomedicine
• Gene Engineering
• +۷ مورد دیگر

Wei Deng is an Associate Professor and Deputy Head of School (Research) in the School of Biomedical Engineering at the University of Technology Sydney (UTS). Her research focuses on cancer nanotechnology, nanobiotechnology, and gene engineering, with significant contributions to radiation-activated chemotherapy (RAC) via liposomes and CRISPR-based therapies. She has pioneered treatments for rectal and breast cancers, including the development of patented RAC systems that reduce chemotherapy toxicity. Her work has led to the founding of biotech startup EosGene Pty Ltd for diabetic retinopathy therapies. Deng holds a PhD from Macquarie University and has attracted over $3.7M in grants from ARC, NHMRC, and Cancer Institute NSW. She leads interdisciplinary teams and contributes to global collaborations, including partnerships with UNSW and HK Winhealth Pharma Group. Her research spans drug/gene delivery systems, CRISPR biosensors, and nanoparticle engineering, emphasizing translational medicine and industrial challenges. Education: PhD in Biomedical Engineering, Macquarie University (Sydney) Leadership Roles: Deputy Head of School, Research; Co-founder of EosGene Pty Ltd Awards: DECRA Fellowship (ARC), Cancer Institute NSW Career Development Fellowship Key Projects: RAC liposomes (Patents US 12036282, Europe 3720422), CRISPR-based pathogen sensors, X-ray triggered PDT platforms Her research bridges nanotechnology and clinical applications, with 62 refereed publications (h-index 26) and 87% in top-tier journals. She actively supervises postgraduate research in CRISPR therapies, CAR T cell engineering, and targeted drug delivery.

Scott Lindermanمشاهده پروفایل

استادیار

• Machine Learning
• Computational Neuroscience
• State Space Models
• +۴ مورد دیگر

Scott W. Linderman is an Assistant Professor of Statistics at Stanford University and a Faculty Scholar at the Wu Tsai Neurosciences Institute. He holds courtesy appointments in Computer Science and is affiliated with Stanford Bio-X and the Stanford AI Lab. His research focuses on developing probabilistic models and statistical methods to analyze neural data, bridging computational neuroscience and machine learning. Linderman earned his PhD in Computer Science from Harvard University, with postdoctoral training at Columbia University under Liam Paninski and David Blei. He previously worked as a software engineer at Microsoft and holds an undergraduate degree in Electrical and Computer Engineering from Cornell University. Research Interests : Machine learning, computational neuroscience, state space models, neural data analysis, and probabilistic modeling. His lab develops tools like the SSM and Dynamax packages, applying methods to problems such as neural decoding, behavioral tracking, and understanding latent neural dynamics. Awards : 2023 McKnight Scholar Award, 2022 Sloan Research Fellowship, Leonard J. Savage Award (2016). Linderman has advised over 20 PhD students and postdocs, contributing to breakthroughs in neuroscience and machine learning. His work includes collaborations with experimental neuroscientists like David Anderson and Sebastian Seung. Labs & Teams : Linderman Lab focuses on advancing statistical methods for neuroscience. Key projects include state space models (e.g., rSLDS, Gaussian Process SLDS) and behavioral analysis tools like Keypoint MoSeq. The lab emphasizes open-source software and interdisciplinary collaboration.