جستجوی استاد راهنمای دانشگاهی

Jana Vukovicمشاهده پروفایل

استاد

• Neuroimmunology
• Microglia Function
• Traumatic Brain Injury
• +۵ مورد دیگر

Professor Jana Vukovic is a neuroimmunologist at the Queensland Brain Institute and School of Biomedical Sciences , University of Queensland. She leads the Neuroimmunology and Cognition team, focusing on microglia and peripheral immune cells' roles in learning, memory, and neuroinflammatory conditions. Education: PhD (2008, University of Western Australia) Research interests span microglial regulation of adult neurogenesis, traumatic brain injury mechanisms, cancer treatment-induced cognitive deficits, neuroinflammation in aging, and exercise-induced brain repair. Her work integrates genetic/pharmacological tools with behavioral assays to link immune activity to cognition. Recent article trends emphasize microglial responses in TBI, GVHD, and aging, with subfields like CX3CR1 signaling, ROCK2 inhibition, and neuroimmune rejuvenation. Key collaborations include Professor Perry F. Bartlett , Professor Marc J. Ruitenberg , and Dr. Emily F. Willis . Scientific awards: ARC Discovery Early Career Researcher Award (2015-2018) Queensland Government Smart Futures Fellowship Viertel Senior Medical Research Fellowship (2021-2025) Supervision includes PhD students studying microglia in neurotrauma, dopaminergic circuits post-injury, and neuroimmune crosstalk. Her lab operates within Queensland Brain Institute’s state-of-the-art facilities.

Despina Siolasمشاهده پروفایل

استادیار

• Cancer Biology
• Tumor Immunology
• Gastrointestinal Cancers
• +۷ مورد دیگر

Dr. Despina Siolas is an Assistant Professor at Weill Cornell Medicine's Graduate School of Medical Sciences, where she leads the Siolas Lab focused on gastrointestinal cancers. Her research bridges molecular oncology and immunology, with emphasis on pancreatic and colorectal cancers. She is affiliated with the Department of Medicine and the Cell & Developmental Biology PhD program. Her research interests include cancer biology , tumor immunology , and therapeutic resistance , particularly how tumor genetics shape the immune microenvironment. She employs CRISPR/Cas9 and 3D organoid models to investigate mechanisms of immunotherapy resistance in pancreatic ductal adenocarcinoma (PDA) and differences between left- and right-sided colon cancers. Her work aims to enable patient stratification and personalized treatment regimens. The recent publications reflect a strong trend in tumor microenvironment analysis, genotype-immunophenotype interactions , and preclinical modeling of gastrointestinal cancers. Her studies integrate molecular genetics with immunological profiling to uncover mechanisms of therapy resistance and identify novel therapeutic targets. NIH Mentored Clinical Scientist Research Career Development Award (K08) Department of Defense Pancreatic Research Program Idea Development Award Women in Cancer Research Brigid Leventhal Scholar Award Rising Star in Oncology, Society for Translational Oncology AMA Foundation Leadership Award Winner E-Trade Financial Scholarship Postdoctoral Research Symposium Winner, NYU Langone Health (2020) Dr. Siolas has secured significant grant funding, including an NIH K08 and a DoD award, supporting her translational research. She mentors students in cancer biology and is actively involved in national initiatives such as the Alliance for Clinical Trials in Oncology. She co-founded the Weill Cornell Medicine Hematology/Oncology Women Physicians Group, promoting leadership and inclusion. She leads the Siolas Lab, which utilizes advanced models like organoids and gene editing to study tumor-immune interactions. Her team collaborates across institutions and is part of the Tri-Institutional network, contributing to a dynamic research environment focused on improving outcomes for gastrointestinal cancer patients.

• Systems Biology
• Immunology
• Bioinformatics
• +۴ مورد دیگر

Andreas Tilevik is an Associate Professor of Systems Biology at the Department of Biosciences, University of Skövde. His research focuses on applying mathematical and statistical models to understand immune system dynamics, particularly in autoimmune diseases and sepsis-related bacterial characterization. He has developed predictive models for drug-immune interactions and activation mechanisms of the immune system. PhD in Computational Immunology, University of New South Wales (2007) Master's in Molecular Computational Biology, University of Skövde (2001) Statistician background from Karlstad University (BPhil, 2017) Tilevik's research spans multiple collaborative projects: predicting drug effects on immunity, simulating immune activation mechanisms, identifying glaucoma biomarkers via proteomics, analyzing B cell populations in Rheumatoid Arthritis, and developing NGS pipelines for sepsis diagnostics. His work integrates computational biology with clinical applications. Recent publications (2023-2024) emphasize single-cell RNA-seq analysis, autoimmune disease mechanisms, and sepsis pathogen characterization. Collaborators include researchers from University of Gothenburg, Medical University of Vienna, and Skaraborg Hospital. Tilevik teaches courses at both bachelor's and master's levels while coordinating bioinformatics training programs.

Emma Lundbergمشاهده پروفایل

دانشیار

• Spatial Proteomics
• Cell Biology
• Artificial Intelligence in Life Sciences
• +۴ مورد دیگر

Dr. Emma Lundberg is an Associate Professor of Bioengineering and Pathology at Stanford University, with a concurrent Professorship at KTH Royal Institute of Technology in Sweden. Her research integrates bioimaging , proteomics , and artificial intelligence to create comprehensive spatiotemporal proteome models of human cells. Dr. Lundberg holds a Ph.D. in Biotechnology from KTH and has pioneered the creation of the Cell Atlas and Subcellular Atlas sections of the Human Protein Atlas. She serves on multiple scientific advisory boards , including the Chan Zuckerberg Initiative and Max Planck Institute of Biochemistry. Her work in spatial proteomics and AI-driven cellular modeling has produced groundbreaking multimodal cell maps and virtual cell simulations . She leads the Lundberg Lab , which maintains collaborative sites in both Stanford and Stockholm, focusing on open science and citizen science initiatives. Scientific awards include: 2022 McCormick and Gabilan Award 2022 Göran Gustafsson Award 2021 Royal Microscopy Society Award 2019 Anne Heidenthal Prize 2016 Wallenberg Academy Fellow

Erik Bensonمشاهده پروفایل

استادیار

• DNA Nanotechnology
• Computational Biology
• Molecular Simulation
• +۳ مورد دیگر

Erik Benson is an Assistant Professor at Karolinska Institutet and a SciLifeLab Fellow leading a research group focused on DNA nanotechnology. His work integrates computational design with evolutionary selection to develop functional nucleic acid structures for biomedical applications, including therapeutic delivery and molecular diagnostics. His research centers on evolving DNA/RNA sequences through high-throughput simulation and in vitro selection to optimize binding, tissue penetration, and cellular uptake. Key projects include DNA molecular printers for precise nano-patterning, reconfigurable nanodevices, and wireframe structures for enhanced drug delivery. The lab bridges biophysics, bioengineering, and computational biology to address challenges in nanomedicine. Recent publications demonstrate leadership in DNA nanostructure design, with breakthroughs in 2D/3D assembly, simulation methods (oxDNA), and therapeutic applications published in Science Robotics, ACS Nano, and Advanced Materials. The work emphasizes computational refinement coupled with experimental validation to advance functional nanodevices. He has received the following honor: SciLifeLab Fellow Benson advises multiple PhD and Master’s students and leads the 5-year EU-funded VOLUMINEX project (EIC Pathfinder Open grant) starting March 2025. This consortium with 5 European partners develops methods for 3D transcript mapping in tissues through sequencing and network reconstruction, securing major research funding for nanotechnology applications. His lab at Karolinska Institutet comprises PhD students Lisa Eichhorn and Jakub Palacka, postdoc Anjali Rajwar, and research assistant Johanna Rhodin. The team actively recruits Master’s students and postdocs for projects in DNA nanotechnology, with former members including Sandra Ly, Aakash Prakash, and Julia Dahl.

Rickard Sandbergمشاهده پروفایل

استاد

• Single-Cell Genomics
• Gene Regulation
• Computational Biology
• +۳ مورد دیگر

Rickard Sandberg is a Professor at the Department of Cell and Molecular Biology, Karolinska Institutet , and an EMBO Member (2019). He is also part of the Nobel Assembly (2019), which selects Nobel laureates in Physiology or Medicine. His research combines single-cell transcriptomics , computational biology , and robotics to decode gene regulation principles. Education : PhD in Molecular Biology (KI, 2004), Postdoc at MIT (2005-2007) Awards : Torsten Söderberg Professorship (2022), EMBO Young Investigator (2012), Anders Jahre’s Medical Prize (2014) Methods : Developed Smart-seq3xpress , NASC-seq , and Molecular Spikes for precise RNA quantification and splicing analysis. His work focuses on transcriptional bursting , splicing regulation , and RNA sequencing in clinical applications . He has published extensively in top journals like Nature , Cell , and Nature Biotechnology , often addressing cellular heterogeneity in diseases such as cancer and psychiatric disorders. Key Trends in Publications : 2024-2025 studies emphasize single-cell RNA-seq innovations , clonal mutation analysis , inflammatory gene dynamics , and splicing defects in cancer . Techniques like Smart-seq3xpress and NASC-seq dominate, with applications in neuroscience, oncology, and developmental biology. Scientific Awards : Torsten Söderberg Academy Professorship (2022) EMBO Membership (2019) Anders Jahre’s Medical Prize (2014) EMBO Young Investigator (2012) Sven and Ebba-Christina Hagbergs Prize (2012) Research Themes : Transcriptional Burst Kinetics Single-Cell Gene Expression RNA Splicing in Brain Cells Computational Tools for Transcriptomics His lab integrates dry and wet lab approaches equally, a model now standard but pioneered in 2008. Outside academia, he advocates for open scientific discourse and enjoys racket sports and cycling.

• Machine Learning
• Transcriptomics
• Epigenomics
• +۷ مورد دیگر

Gregory Fonseca, PhD is an Assistant Professor in the Department of Medicine at McGill University's Faculty of Medicine and Health Sciences. He serves as a Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) at the Glen site, where he is affiliated with the Translational Research in Respiratory Diseases Program within the Centre for Translational Biology. Dr. Fonseca's research focuses on understanding inflammatory processes in lung diseases through computational approaches. His work integrates machine learning with next-generation sequencing data to analyze cytokine activation patterns and deconvolute inflammatory responses in resident macrophage populations. His research spans several key areas including machine learning applications in biology, transcriptomics, epigenomics, and alveolar macrophage biology. His publication record demonstrates expertise in computational analysis of inflammatory responses, with recent work focusing on cell type deconvolution in spatial transcriptomics, sequence-to-expression modeling, and the relationship between epigenetic age and cardiorespiratory fitness in individuals with airflow limitation. His research bridges computational biology with respiratory medicine to understand disease mechanisms at the molecular level. Dr. Fonseca maintains active collaborations across multiple research groups at McGill University and the RI-MUHC, contributing to the institution's strong research profile in respiratory diseases and computational biology.

Dietmar Schmuckerمشاهده پروفایل

استاد

• Neuroscience
• Neural Circuit Development
• Axon Guidance
• +۵ مورد دیگر

Professor Dietmar Schmucker leads the Department of Neural Circuit Development at the LIMES Institute (Life and Medical Sciences Institute) at the University of Bonn. Previously, he was a Professor at University Leuven (KUL) in Belgium and an Associate Professor at Harvard Medical School. His research focuses on understanding the molecular mechanisms underlying neural circuit development, particularly neuronal wiring specificity and synaptogenesis. Dr. Schmucker's research interests center on how complex neural networks develop from a limited genetic repertoire. His lab investigates molecular diversity of membrane receptors, particularly the Dscam family, and their roles in neuronal self-avoidance, axon branching, and synapse formation. Using model organisms like Drosophila and Xenopus tropicalis , his team employs genetic, biochemical, and imaging approaches to study neural development and regeneration. His research has revealed how molecular diversity of the Dscam receptor provides tens of thousands of isoforms essential for neuronal self-recognition and circuit assembly. Recent work focuses on phosphatase Prl-1's role in spatially restricted synaptogenesis and Wnk kinase's evolutionary conserved function in protecting neurons from degeneration. His publications span top journals including Cell, Nature, Science, and Neuron. Alexander von Humboldt Professorship (2019) ERC Synergy Grants Professor Schmucker's lab maintains active research programs in neuronal wiring mechanisms and regeneration. His team combines reverse genetics with high-resolution imaging to investigate synapse formation at single-synapse resolution. Current projects include studying the molecular organization of vertebrate DSCAM and clustered protocadherins in Xenopus tropicalis , and novel mechanisms of axonal branching specificity.

François Peaudecerfمشاهده پروفایل

استادیار

• Soft Matter Physics
• Fluid Mechanics
• Biophysics
• +۵ مورد دیگر

François Peaudecerf is a Junior Professor (tenure-track Assistant Professor) at the Physics Institute of Rennes (IPR), University of Rennes. His research bridges soft matter physics, fluid mechanics, biophysics, and environmental microbiology, focusing on microbial dynamics at air-water interfaces and their macroscopic impacts. He collaborates extensively within OSERen and leads the ERC-funded BACTODRY project. École Polytechnique (BSc) University of Cambridge (PhD in Applied Mathematics and Theoretical Physics) ETH Zürich (postdoc) His lab investigates how bacteria modify water dynamics in soil through surfactant production, bacterial predation mechanisms (T6SS system), and marine particle degradation. Research spans model systems from single capillaries to microfluidic soil mimics. Key projects include ANR MICRO-GRADIENTS (bacterial survival in gradients) and ERC BACTODRY (microbial-soil water interplay). Recent publications in Science , Nature Communications , and PNAS highlight discoveries on bacterial quorum-sensing, surfactant-mediated maze solving, and microbial impacts on carbon flux. His work reveals how microscale physical processes scale to environmental phenomena like soil drying and oceanic carbon cycling. Scientific awards include the ERC Starting Grant (2024) and the Marie Skłodowska-Curie Fellowship (2021). He supervises PhD/MSc students on topics ranging from electro-active bacteria to zooplankton foraging behavior and actively recruits for the BACTODRY project (2025+).

Sam Vesunaمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Psychiatry
• Neuroimaging
• +۵ مورد دیگر

Sam Vesuna is a Postdoctoral Fellow at Stanford University , specializing in neuroscience and psychiatry. His work focuses on brain-wide analysis of neural circuits, molecular mechanisms of subjective experience, and neuroimaging techniques. Education: B.S. in Biomedical Engineering (Yale, 2012), Ph.D. in Bioengineering (Stanford, 2020), M.D. (UC Irvine, 2022) Key Contributions: Research on dissociation, psychiatric disorders, and advanced neuroimaging methods His research integrates optogenetics, genome-wide analyses, and large-scale neural recordings to decode brain activity patterns. His publications address conditions like schizophrenia, PTSD, and depression, alongside technical advancements in brain tissue imaging and functional payload delivery. Sam works in the lab of Karl Deisseroth , pioneering tools for studying brain function across species. His work bridges biomedical engineering and clinical psychiatry, targeting hypothesis-free discovery of neural correlates.

Bin Chenمشاهده پروفایل

دانشیار

• Computational Biology
• Bioinformatics
• Machine Learning
• +۶ مورد دیگر

Bin Chen is an Associate Professor at Michigan State University with joint appointments in the Genetics & Genome Sciences Program and Department of Computer Science and Engineering . His research combines multi-omics data , electronic medical records , and advanced machine learning to develop novel therapeutic approaches. Key affiliations : Genetics & Genome Sciences Program Computer Science and Engineering Department NIH BDMA Study Section Research focus : OMICS-driven drug discovery Biomarker identification Translational bioinformatics Virtual screening platforms Single-cell & spatial transcriptomics His lab actively develops machine learning models like transfer learning and deep reinforcement learning to analyze bulk/single-cell transcriptomics and EMR/EHR data. The team has made significant contributions to COVID-19 research, diffuse midline glioma , and Alzheimer's disease through computational drug repurposing and biomarker discovery . Selected scientific awards include: NIH R01 Diversity Supplement (2021) Early Career Research Excellence Award (2021) Best Paper Award at KDD Health Day (2022) NIH BDMA Study Section Membership (2025) The lab has trained numerous students and postdocs who have transitioned to academic and industry positions. Current funding includes NIH R01 grants , NCATS Translator program , and MSU-Spectrum Health Alliance collaborations.

• cGMP signaling
• Signal transduction
• Transgenic mouse models
• +۳ مورد دیگر

Professor Robert Feil leads the Department of Signal Transduction & Transgenic Models at the Interfaculty Institute for Biochemistry , University of Tübingen. His research focuses on cGMP signaling pathways across cardiovascular, neurological, and cancer contexts, utilizing "in vivo biochemistry" and advanced optical imaging technologies in transgenic mouse models. Current affiliations: Spokesperson for DFG Research Training Group GRK 2381 (2019-present) and member of GRK 2816 Research highlights: Mechanosensitive cGMP signaling, tumor-vascular interactions, CNP/GC-B signaling in kidney development, and novel insights into atherosclerosis mechanisms Recent work emphasizes cell fate mapping through CreER technology and real-time cGMP visualization in living systems. His lab has produced significant findings on vascular smooth muscle cell plasticity and macrophage-like cell transdifferentiation in atherosclerotic plaques. Key trainees include: PhD candidates: Kevin Dervishi (mechanosensitive signaling), Alisa Groh (tumor vessel signaling), Shahzad Munir (hippocampal signaling), Daniel Pinto Quintero (platelet signaling), and Asli Pektas (developmental physiology) Past doctoral researchers: Timo Kopp (2024 graduate), Daniel Stehle (2023 graduate) Technological innovations: Developed CreER T2 for inducible gene targeting Created cGMP biosensors for in vivo imaging

Paul S. Katzمشاهده پروفایل

استاد

• Neuroscience
• Evolutionary Biology
• Neural Circuits
• +۴ مورد دیگر

Paul S. Katz is a Professor and Director of Neuroscience at the University of Massachusetts Amherst. His research focuses on evolutionary, developmental, and functional aspects of neural circuits underlying behavior. He works extensively with sea slugs (Nudipleura) as model organisms to study neural mechanisms at the cellular level, leveraging their simple nervous systems containing ~10,000 identifiable neurons. Biology Department, University of Massachusetts Amherst Research Interests: The lab investigates neural circuits governing rhythmic motor behaviors through comparative species analysis to understand evolutionary changes in homologous neurons. Their work spans electrophysiology, immunohistochemistry, bioinformatics, and connectomics to examine molecular fingerprints, synaptic organization, and behavioral state dependencies. Recent Article Trends: 2024–2025 publications highlight: 3D electron microscopic reconstruction of neural circuits Single neuron transcriptomics and neuropeptide expression State-dependent and location-dependent behavioral responses Developmental and evolutionary comparisons of neural architecture Computational modeling of rhythmic network activity Neurochemical profiling with hybridization chain reaction Labs & Teams: Dr. Katz leads a multidisciplinary team integrating molecular, anatomical, and computational approaches. The lab develops tools like mEMbrain for connectomic segmentation and utilizes the Berghia stephanieae sea slug as a model organism with a standardized reference brain atlas.

Jeff Johnstonمشاهده پروفایل

مدرس

• Ethics
• Physical Education
• Coaching Sports

Jeff Johnston is a Lecturer at the University of California, Irvine's School of Education. He specializes in ethics, physical education, and coaching sports, with a focus on integrating moral frameworks into educational contexts and developing practical coaching methodologies. M.S. in Sports Administration from University of Illinois M.A. in Social and Religious Ethics from USC His research interests center on ethical decision-making in education , K-12 moral development , and coaching practices across age groups . While his Google Scholar publications appear to focus on neuroscience and biomedical research—spanning topics like Alzheimer's disease, sickle cell pain mechanisms, and single-cell transcriptomics—these may represent interdisciplinary collaborations or unrelated entries, as no direct connection is established in his formal bio. Recent publications include studies on neuromodulatory effects of social isolation, neuroimmune activity in chronic disease, and computational methods for analyzing neuronal calcium signals. These articles suggest a secondary focus on neurobiology and computational health research , though this is not explicitly mentioned in his faculty profile. As faculty advisor for the Education Theme House, Johnston contributes to student mentorship and community engagement. His contact details include the email jmjohnst@uci.edu and office phone (949) 824-6442.

Viva R. Horowitzمشاهده پروفایل

استادیار

• Quantum Emitters
• Nanomechanical Resonators
• Microfluidics
• +۲ مورد دیگر

Dr. Viva R. Horowitz is Assistant Professor of Physics at Hamilton College and Courtesy Research Assistant Professor at the University of Oregon. She directs research in quantum emitters, nanomechanical systems, and microfluidics. Her educational background includes a PhD in Physics from UC Santa Barbara and postdoctoral positions at Harvard (dynamic artificial cells) and Caltech (opto-mechanical gyroscopes). Research encompasses quantum systems and applied physics: Quantum emitter fabrication in 2D materials Network analysis of nanomechanical resonators Microfluidic platforms for biological modeling Spin-based sensing with optically trapped nanodiamonds Recent publications demonstrate methodological innovation in resonator network characterization and graphene-based NEMS devices. Collaborative work with University of Oregon focuses on scalable resonator networks, while microfluidics research enables artificial cytoplasm modeling for cellular biophysics. Honors include the Sidney Wertimer Teaching Award and multiple mentoring recognitions. She mentors over 40 undergraduate researchers in experimental physics projects and hosts the Significant Figures science podcast. Professional service includes colloquium organization and diversity initiatives in physics education.