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Andre LevchenkoView profile

Professor

• Systems Biology
• Signal Transduction
• Cell Communication
• +5 more

Andre Levchenko is the John C. Malone Professor of Biomedical Engineering at Yale University, with secondary appointments in the Department of Neurosurgery and affiliations with the Cancer Signaling Networks, Immunology, and the Yale Program in Neurodevelopment and Regeneration. His research focuses on systems biology, signal transduction, and cell-cell communication, utilizing microfluidics and computational modeling to study cancer progression, stem cell behavior, and neurological disorders. PhD, Columbia University MEng, Moscow Institute of Physics and Technology Levchenko's work explores how cells process dynamic signals to make critical decisions, particularly in glioblastoma migration, organoid development, and cardiovascular tissue engineering. His lab develops innovative microfluidic platforms and mathematical models to dissect multicellular communication and signaling networks. Recent publications highlight his contributions to understanding YAP-driven cancer invasion , NOTCH signaling in angiogenesis , and metabolic regulation of hypoxia responses . He has pioneered methods for organoid modeling and single-cell analysis , advancing precision in biological signaling studies. Scientific Awards : Computational Molecular Biology Post-Doctoral Fellowship (Burroughs Wellcome Fund) National Academies Keck Futures Conference Invitee Distinguished Guest Lecturer, University of Virginia American Asthma Foundation Early Excellence Award Fellow, American Institute for Medical and Biological Engineering Levchenko leads the Levchenko Lab at the Yale Systems Biology Institute, collaborating with institutions like Mayo Clinic and Yale Cancer Center. His research has received recognition in Faculty of 1000 and multiple journal highlights.

Kevin M. FranksView profile

Associate Professor

• Neurobiology
• Olfactory System
• Neural Circuits
• +3 more

Kevin M. Franks is an Associate Professor of Neurobiology at Duke University, where he investigates how the olfactory system forms neural representations of sensory environments. His work focuses on functional neural circuits in the olfactory bulb and piriform cortex, using techniques like in vivo recordings, optogenetics, and behavioral assays. His research explores Neural circuit dynamics and plasticity Odor coding mechanisms Role of recurrent circuitry Integration of sensory modalities Recent publications highlight his contributions to understanding cortical odor representations, developmental neural connectivity, and cross-modal interactions. Awards include the 2024 Don Tucker Finalist recognition. He teaches advanced neuroscience courses at Duke, including Neurobiology research and concepts in neuronal systems.

Istvan ModyView profile

Professor

• Neuroscience
• Neurology
• Pharmacology
• +12 more

Istvan Mody is a Professor at the University of California, Los Angeles (UCLA) with appointments in the Department of Neurology and Department of Physiology . His research focuses on synaptic signaling in health and disease, including mechanisms of GABAergic transmission, calcium homeostasis, and their roles in neurological disorders such as epilepsy, Alzheimer's disease, Huntington's disease, stress, alcoholism, and postpartum depression. He utilizes advanced techniques like patch-clamp electrophysiology, neuroanatomical and immunohistochemical methods, and molecular biology in animal models and human brain tissue . Research Interests: Dr. Mody investigates the physiology, pharmacology, and pathology of synaptic transmission and extrasynaptic receptor activation , with a particular emphasis on GABA(A) receptors and their subunit-specific modulation. His work explores how disruptions in excitation-inhibition balance contribute to neurological diseases, including mechanisms of tonic inhibition , calcium signaling , and neurosteroid interactions . He also studies the effects of chronic stress and hormonal fluctuations on neural excitability and behavior. Publications Trends: Recent studies highlight his work on gamma oscillations in Alzheimer's models, microglial dynamics , and rehabilitation strategies for stroke. His lab develops optical tools like dqGEVI for neuronal activity monitoring and investigates human brain organoids to model network dysfunction in epilepsy and intellectual disability. Laboratory Location: 635 Charles Young Dr S, Los Angeles, CA 90095, United States.

Istvan AlbertView profile

Research Professor

• Bioinformatics
• Genomics
• Computational Biology
• +5 more

Istvan Albert is a Research Professor of Bioinformatics at Pennsylvania State University , affiliated with the Department of Biochemistry and Molecular Biology . He leads the Bioinformatics Consulting Center and teaches BMMB 852: Applied Bioinformatics . Research Interests: Specializing in bioinformatics, large-scale biological data analysis, microarray and sequence analysis, scientific programming, algorithm development, and database-driven web development. His work spans gene ontology visualization , RNA-Seq analysis , and coronavirus research . Software Development: Created GeneScape for gene function visualization and bio for bioinformatics workflows. Maintains the Biostar Handbook series and the Biostars Q&A Forum , a leading bioinformatics resource.

Kanwaljeet S. AnandView profile

Professor

• Pediatric Pain and Stress Neurobiology
• Neonatal and Fetal Pain Assessment
• Biomarker Development
• +3 more

Dr. Kanwaljeet S. Anand is a dual-appointed Professor of Pediatrics (Pediatric Critical Care) and Anesthesiology, Perioperative & Pain Medicine at Stanford University School of Medicine. As director of the Pain/Stress Neurobiology Lab and Jackson Vaughan Critical Care Research Fund, he serves as Editor-in-Chief of Pediatric Research and maintains active membership in Bio-X, MCHRI, and Wu Tsai Neurosciences Institute. Rhodes Scholar with D.Phil from University of Oxford Harvard postdoctoral fellowship and Boston Children's Hospital residency Founded Harmony Health Clinic - Arkansas' largest charitable medical-dental facility A translational researcher with 30+ years of impact, Dr. Anand established the first scientific framework for infant pain perception and developed novel pain assessment methodologies. Current research focuses on: Hair biomarker analysis for stress and social affiliation (cortisol/oxytocin) Machine learning systems for objective pain detection in non-verbal infants Biopsychosocial interventions for stress reduction in disadvantaged youth Neurotoxicity mechanisms of sedatives in developing brains Global NICU opioid usage patterns through the NeoOpioid Consortium His work has yielded over 260 publications and significant advances in: Pediatric pain management protocols Neonatal stress biomarker development Critical care neurobiology insights Community health initiatives AI-driven clinical decision support systems Scientific Recognition 9th Annual 'In Praise of Medicine' Public Address, Erasmus University (2014) Nightingale Excellence Award (2016) Honorary Doctorate from University of Örebro (2019) NIH SBIB-H82 Study Section Chair (2018) Multiple IASP and American Pain Society awards Swedish Academy of Medicine's Nils Rosén von Rosenstein Award (2009) St. Jude Endowed Chairholder (2010) As mentor to Med Scholar Anjali Gupta and advisor to numerous professional bodies, Dr. Anand maintains active clinical leadership in Pediatric Intensive Care while advancing computational approaches to pain detection through collaborations with Stanford's AI researchers.

Essa YacoubView profile

Professor

• Medical Physics
• Neuroimaging
• Biomedical Engineering
• +6 more

Essa Yacoub is a Professor in the Department of Radiology at the University of Minnesota, affiliated with the PhD Program in Medical Physics and the Center for Magnetic Resonance Research. His work focuses on advancing MRI and fMRI technologies, particularly at ultrahigh magnetic fields (e.g., 10.5 T), to achieve unprecedented spatial and temporal resolution in brain imaging. He leads projects in RF coil design, noise reduction algorithms, and developmental neuroimaging. Roles: Professor, Medical Physics Program Faculty Affiliations: Center for Magnetic Resonance Research, Department of Radiology Research emphasizes high-resolution fMRI applications, including layer-specific brain mapping, pediatric neurodevelopment studies (e.g., Baby Connectome Project), and translational tools like BIBSNet for infant brain segmentation. His innovations bridge hardware engineering (RF coils) and software (denoising pipelines) to tackle challenges in mesoscopic-scale imaging. Key contributions include optimizing imaging protocols at 7T/10.5T, developing NORDIC denoising for submillimeter data, and advancing understanding of brain networks in aging and neurological disorders. His work is foundational for large-scale initiatives like the Human Connectome Project and non-human primate neuroimaging collaborations. Grants and collaborations focus on translational imaging technologies, while educational contributions include training through the Medical Physics PhD Program. Ongoing efforts aim to refine ultra-high field MRI applications for clinical and basic neuroscience research.

• Machine Learning
• Computational Biology
• Bioinformatics
• +4 more

Catherine Mooney is a Professor in the School of Computer Science at University College Dublin (UCD), leading the Life Science Data Analytics Group (LiSDA). Her research focuses on applying machine learning to healthcare challenges, including biomarker development, clinical decision support systems, and addressing ethical and technical barriers in healthcare AI. Education: BSc in [field unspecified] from Trinity College Dublin PhD in Computer Science from UCD Prof Dip University Teaching & Learning from UCD Research Interests: Machine Learning applications in healthcare Biomarker discovery for neurological and metabolic conditions Explainable AI for clinical decision support Promoting diversity and inclusion in STEM education Her work bridges computational methods with medical challenges, emphasizing ethical AI and translational research. Notable Awards: Best Paper Award in Applied Biosciences (2023) UCD Long-Service Award (2022) Best Poster Award at ITiCSE ’20 (2020) Her research has led to impactful tools like LiSDA’s clinical decision support systems for epilepsy and pregnancy care. She also advocates for gender diversity in computing, serving in leadership roles like Vice Principal for EDI in UCD’s College of Science (2022–2024).

• Neonatal Neurology
• Brain Development
• Preterm Infant Brain Injury
• +5 more

Dr. Steven P. Miller is a Professor and Head of the Department of Pediatrics at the University of British Columbia's Faculty of Medicine. He also serves as the Chief of Pediatric Medicine at BC Children's Hospital & Sunny Hill Health Centre under the Provincial Health Services Authority. Additionally, he holds the Hudson Family Hospital Chair in Pediatric Medicine and is an Investigator at BC Children's Hospital. Dr. Miller's research focuses on neonatal neurology, particularly brain development and injury in newborns. His work utilizes advanced magnetic resonance techniques and bedside brain monitoring to understand how a baby's critical care experience influences their risk of brain injury and developmental trajectory. His research areas include birth defects, concussion, preterm labor, and steroid effects on neonatal brain development. Analysis of Dr. Miller's recent publications reveals a strong emphasis on understanding the relationship between neonatal pain exposure, analgesia, and brain development in preterm infants. His work also extensively examines neurodevelopmental outcomes in infants with congenital heart disease, exploring how fetal hemodynamics, surgical interventions, and brain imaging findings correlate with long-term cognitive outcomes. A significant portion of his research investigates the impact of socioeconomic status on brain development and neurocognitive outcomes in preterm infants. Dr. Miller is actively involved in graduate education, supervising students in Neuroscience and Women+ and Children's Health Sciences programs at UBC. His research group, part of the Brain, Behaviour & Development Research Theme and the Neurodevelopmental and Neurological Disorders Visualizing the Brain Research Group, has published extensively in top-tier journals across neurology, pediatrics, and neuroscience.

• Auditory Neuroscience
• Neuromodulation
• Neuronal Excitability
• +4 more

Dr. Conny Kopp-Scheinpflug is an Associate Professor (PD) at the Faculty of Biology, Ludwig Maximilian University of Munich, where she leads a research group focused on auditory neuroscience. Her laboratory investigates the function and mechanisms of activity-dependent neuromodulation in the mammalian auditory system, with particular interest in how ambient sensory stimulation activates neuromodulators and how these influence neural processing of relevant information. Dr. Kopp-Scheinpflug's research spans auditory neuroscience, neuromodulation, neuronal excitability, and synaptic transmission. She employs electrophysiological (single cell in vivo and patch clamp in brain slices), anatomical, and optogenetic techniques to study how hyper- or hypo stimulation lead to acquisition or loss of function in the auditory system. Her work has significant implications for understanding and potentially treating functional disorders of neuronal excitability. Current research examines potassium channels, nitric oxide signaling, and neuromodulators like urocortin 3 in auditory processing. Analysis of Dr. Kopp-Scheinpflug's recent publications (2016-2022) reveals consistent focus on auditory processing mechanisms, particularly potassium channels (Kv3.1, Kv3.3, Kv1.1), nitric oxide signaling, and activity-dependent changes in myelination. Her research spans molecular mechanisms to systems-level auditory processing, with emphasis on sound localization, temporal processing, and recovery from hearing impairment. Key findings include how sound-evoked activity influences myelination, how nitric oxide regulates postsynaptic excitability, and how urocortin 3 aids hearing recovery. Dr. Kopp-Scheinpflug has secured funding from multiple research agencies. She maintains active collaborations with researchers at Lehigh University (Michael Burger Lab), University of Edinburgh (Matthias Hennig Lab), Ben-Gurion University of the Negev (Michal Hershfinkel Lab), and UCL (Dr. Jennifer Linden). Her laboratory currently includes Ezhilarasan Rajaram, Dr. Mihai Stancu, Oskar Kalle Juhani Markkula, Sara Pagella, and Katharine Krueger. Past lab members who have completed their training include Dr. James Sinclair, Dr. Matthew Fischl, Max Bayer, Alkmini Damkou, Alyahyay Mansour, Leander Mrowka, Joseph Kroeger, and Myriam Schmidt-Pauly.

Silvia ArberView profile

Professor

• Molecular and cellular mechanisms of neuronal differentiation
• Neuronal circuit development and connectivity
• Motor system development and function
• +7 more

Silvia Arber holds a joint appointment as Full Professor for Neurobiology/Cell Biology at the Biozentrum, University of Basel, and serves as Senior Group Leader at the Friedrich Miescher Institute (FMI) in Basel, Switzerland. Her laboratory investigates the organization, function, and development of neuronal circuits controlling motor behavior, with a particular focus on how these circuits enable precise movement control. Arber obtained her PhD in 1996 from the Friedrich Miescher Institute under Pico Caroni, followed by postdoctoral training with Thomas Jessell at Columbia University (1996-2000), where she studied transcription factors in spinal cord neuronal differentiation. Her educational background includes Biology II studies at the Biozentrum of the University of Basel with graduation in Cell Biology (1987), a diploma thesis at the FMI (1990), and graduate work at the FMI (1992). Her research program centers on elucidating how neuronal circuits orchestrate accurate motor behavior in response to sensory cues and voluntary movement initiation. Using mouse as a model system, her laboratory employs multi-faceted approaches including advanced mouse genetics, viral technologies for transsynaptic circuit tracing, optogenetics and pharmacogenetics for functional manipulation, quantitative behavioral analysis, electrophysiology, and gene expression profiling. Her work has revealed precise synaptic interactions within dedicated motor circuit modules throughout the nervous system and how these impact function, with implications for understanding diseases causing motor deficits and spinal cord injury. Analysis of Arber's publication record shows a consistent focus on motor circuit organization, with particular emphasis on transcriptional control mechanisms, circuit connectivity mapping, and the relationship between developmental processes and functional circuit organization. Her work bridges molecular, cellular, and systems neuroscience, providing fundamental insights into how the nervous system controls movement. The Brain Prize (2022) Elected to the National Academy of Sciences of the United States (2020) Physiological Society Annual Review Prize Lecture (2019) Pradel Research Award (2018) W. Alden Spencer Award (2018) Louis-Jeantet Prize for Medicine (2017) ERC Advanced Grant (2010-2015) EMBO Member (2005) EMBO Young Investigator Award (2001) While specific students are not listed in the provided materials, Arber's laboratory has received significant research funding including an ERC Advanced Grant (2010-2015) and multiple prestigious awards supporting her research program. Her laboratory at the Biozentrum (Room 11.038) collaborates closely with the Friedrich Miescher Institute, where she serves as Senior Group Leader. The research group employs cutting-edge technologies for neural circuit analysis and has contributed fundamental insights into motor circuit organization, with implications for understanding and potentially treating movement disorders and spinal cord injuries.

• Neuroscience
• Developmental Biology
• Molecular Biology
• +3 more

Carina Hanashima is a Professor at the Faculty of Education and Integrated Arts and Sciences , Waseda University, Japan. Her research focuses on neuroscience , developmental biology , and molecular mechanisms underlying cortical development . She has held academic positions at Kobe University (2014.04-2018.03), RIKEN (2008.10-2017.03), Osaka University (2012.04-2015.03), and Nara Women's University (2007.09-2014.11). Research Interests Neuronal specification and cortical circuit formation Role of transcription factors (e.g., Foxg1, Robo1) in brain development Gene regulatory networks in neurogenesis Evolutionary origins of the neocortex Recent Trends in Publications : Her work explores transcriptional repression , axon guidance signaling , and developmental clock mechanisms in mammalian and non-mammalian models (chicks, mice). Key themes include neurodevelopmental disorders (e.g., autism, schizophrenia), angiogenesis , and cell migration . Scientific Awards : Poster Award, Asia-Pacific Developmental Biology Conference APDBC (2012.10) Grants and Projects : Japan Society for the Promotion of Science Grants-in-Aid (2016.06-2021.03, 2021.04-2022.03) RIKEN Joint Retreat Organizer (2011-2017) Labs and Collaborations : She leads the Hanashima Lab at Waseda University, focusing on spatiotemporal control in neuronal identity and neurovascular coupling . Her lab employs genetic lineage tracing , in situ hybridization , and in utero electroporation techniques.

• Sensory Systems
• Social Behavior
• Neurogenomics
• +4 more

Nora H Prior, PhD, is a Senior Research Associate in the Psychology Department at Cornell University, focusing on sensory systems, social behavior, and neurogenomics. Her research team explores avian behavioral neuroscience, with expertise in neuroendocrinology, bioacoustics, and comparative psychology. 2020-2021: Sessional Instructor & course designer, University of British Columbia 2018-2021: Postdoctoral Associate, Avian Behavioral Neuroscience Lab (University of Maryland) 2016-2018: Postdoctoral Fellow, Center for Comparative and Evolutionary Biology of Hearing (University of Maryland) 2015: Postdoctoral Fellow, Neuroethology & Bioacoustics Lab (University of Lyon) 2009-2014: PhD Candidate (University of British Columbia) Her research combines neuroendocrinology, bioacoustics, and behavioral ecology to study avian communication, pair bonding, and neurogenomic responses to environmental stressors. Key topics include: Acoustic fine structure in zebra finch communication Neuroendocrine regulation of monogamy and aggression Effects of water restriction on vocal behavior Differential gene expression in extreme physiological states Temporal processing of vocal sequences Perceptual limitations in avian cognition While her publications span from 2010-2025, recent work emphasizes methodological rigor in neuroscience research, environmental impacts on brain development, and neurogenomic resilience in wild birds. Her 2025 paper on Science Democratization addresses systemic challenges in behavioral neuroscience.

• Cognitive Neuroscience
• Developmental Psychology
• Neuroimaging
• +3 more

Giovanni Mento is an Associate Professor at the Department of General Psychology, University of Padova. His research focuses on cognitive neuroscience, developmental psychology, and clinical neurology, with a particular emphasis on neural mechanisms underlying cognitive control, emotional processing, and neurodevelopmental disorders. He employs advanced neuroimaging techniques like high-density EEG to investigate topics such as temporal prediction, decision-making in children, and the impact of preterm birth on brain development. His work integrates interdisciplinary approaches, combining machine learning with electrophysiological data analysis to address challenges in epilepsy forecasting and predictive brain activity. Key research areas include implicit learning, motivational contexts influencing cognition, and the application of EEG to study socio-emotional and behavioral disorders in clinical populations. Recent studies explore the effects of yoga-mindfulness interventions on cognitive control in children, dynamic brain states in preschoolers, and methodological rigor in EEG-based machine learning models. His contributions span both theoretical frameworks (e.g., re-examining top-down control models) and applied clinical research (e.g., neonatal intensive care practices). Mento’s articles highlight trends in understanding developmental trajectories, predictive neural mechanisms, and translational applications of neuroscientific findings to real-world contexts like education and healthcare.

• Neuroscience
• Auditory Neuroscience
• Neuronal Microcircuits
• +3 more

Dr. Albert Berrebi is a Professor and Vice-Chair for Research in the Department of Neuroscience at the West Virginia University School of Medicine . He also holds a faculty position at the Rockefeller Neuroscience Institute and is a member of the WVU Cancer Institute Research Programs . Research Interests: The Berrebi lab investigates the organization of neuronal microcircuits in the central auditory pathway, focusing on chemical phenotypes via immunocytochemical techniques. Their work employs: Brain microinjections for tract-tracing Electron microscopy for ultrastructural analysis In vivo extracellular recordings of auditory neurons Pharmacological receptor blocking to study inhibition Key research areas span the superior olive nuclei (MNTB and SPON), synaptic connectivity, and auditory prosthetics. Recent publications highlight studies on forward masking, postinhibitory rebound spiking, and ketamine effects. Techniques: The lab integrates anatomical, physiological, and cytological methods, including light/electron microscopy and electrophysiology. Their long-term goal is to advance understanding of auditory neural mechanisms and improve cochlear prostheses for hearing impairment.

Guoqiang YuView profile

Professor

• Machine Learning
• Pattern Recognition
• Optimization
• +9 more

Guoqiang Yu is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He holds a joint appointment at the Virginia Tech Research Center - Arlington. His research focuses on integrating machine learning, signal processing, and statistical methods to develop computational tools for analyzing multiplatform biomedical data. Key areas include neuroinformatics, bioinformatics, and systems biology, with applications in understanding human diseases through genomic, proteomic, and imaging data integration. Education: Ph.D. in Electrical Engineering, Virginia Tech (2011) Postdoctoral Fellowship at Stanford University (2012) M.S. Tsinghua University (2004) B.S. Shandong University (2001) Research Interests: Machine learning methodologies for biomedical data analysis, pattern recognition in complex datasets, optimization algorithms for high-dimensional data, stochastic signal processing, and their applications in neurodegenerative diseases (e.g., ALS, Alzheimer's), glial cell biology, and precision medicine. His work emphasizes developing open-source tools like ABDS, CAM3.0, and SynQuant for data normalization, deconvolution, and quantitative imaging analysis. Awards & Service: NSF Career Award (2018) Dean's Award for Excellence in Research (2022) Member of NIH BRAIN Initiative Consortium (2021–present) Associate Editor for BMC Bioinformatics (2017–present) Labs & Teams: Leads the Yu Lab at Virginia Tech, collaborating with multidisciplinary teams in neuroscience, bioengineering, and computational biology. Active in NIH-funded consortia focused on brain data science and large-scale neuroimaging initiatives.