Un J. Kang, MD is the Founders Professor of Neurology at NYU Grossman School of Medicine and Professor in the Department of Neuroscience and Physiology. He serves as Director of Translational Research at the Marlene and Paolo Fresco Institute for Parkinson's and Movement Disorders and Co-Director of the Parekh Center for Interdisciplinary Neurology. His clinical practice focuses on Parkinson's disease and related movement disorders including tremor, dystonia, and Huntington's disease. Dr. Kang earned his MD from Johns Hopkins University in 1982, completed residency in Neurology at NY Presbyterian - Columbia University Medical Center in 1986, and specialized in Movement Disorders through fellowship training at the same institution in 1987. His research investigates the pathogenesis of Parkinson's disease and mechanisms of therapy, with particular focus on basal ganglia circuit plasticity, neural adaptation to dopamine loss, and development of biomarkers for neurodegenerative disorders. He pioneered experimental gene therapy approaches for Parkinson's disease and now directs the Kang Lab where his team studies how brain circuitry is perturbed by dopamine loss and pharmacological treatment in mouse models. Dr. Kang's research portfolio includes multiple NIH-funded projects examining striatal cholinergic interneuron dysfunction, freezing of gait mechanisms, and biomarker development for Parkinson's disease. His laboratory has published extensively on Parkinson's disease mechanisms with 178 publications to date, including significant recent work on alpha-synuclein detection methods and striatal pathway alterations in Parkinsonian motor deficits. Before joining NYU Langone in 2019, Dr. Kang created and led a multidisciplinary research team at the University of Chicago for two decades and previously served as chief of the movement disorders division at Columbia University. He leads the BioFIND consortium as principal investigator, banking biospecimens for Parkinson's disease biomarker discovery.
Changxi Zheng is an Associate Professor in the Department of Computer Science at Columbia University's School of Engineering and Applied Science (SEAS). He directs Columbia's Computer Graphics Group (C2G2) within the Columbia Vision and Graphics Center (CVGC). After receiving his PhD from Cornell University, he joined the faculty of Computer Science Department at Columbia, where he has established himself as a leading researcher in computer graphics and scientific computing. Dr. Zheng's research spans multiple areas of applied computer science with a particular focus on computer graphics and scientific computing. His work centers around developing numerical models for simulating physical phenomena involving complex motions such as fluids, bubbles, and thin rods, along with their resulting acoustic waves. Leveraging computational insights from these models, he devises methods for improving tangible object creation, enabling novel human-computer interactions, and developing software tools for acoustic and photonic devices. His research has attracted significant public interest and media coverage, including projects like FontCode, AirCode, and Computational Metallophone Design. His recent publications reveal a strong interdisciplinary approach, bridging computer graphics, physics simulation, machine learning, and hardware design. His work demonstrates consistent innovation in computational methods for simulating physical phenomena and applying these techniques to practical problems in 3D printing, acoustic modeling, and interactive systems. The breadth of his research spans from fundamental physics-based simulations to practical applications in industry. Columbia SEAS Dean's Fellow (for advised students) NSF Graduate Research Fellow (for Ruilin Xu) Snap Research Fellow (for Rundi Wu) CKGSB Fellow (for Yun Fei) Adobe Research Fellow (for Gabriel Cirio) Marie Sklodowska-Curie Individual Fellow (for Rundi Wu) Best Paper Award at ACM International Conference on Multimedia (ACMMM), 2019 Dr. Zheng actively mentors a diverse group of students, including current PhD candidates and postdoctoral researchers. His research group has received support from various sources that enable their innovative work in computational graphics and physics-based simulation. He has supervised numerous successful students who have gone on to positions at leading technology companies including Adobe, Tencent, Facebook, and academic institutions. As director of Columbia's Computer Graphics Group (C2G2) within the Columbia Vision and Graphics Center (CVGC), Dr. Zheng leads a vibrant research team focused on advancing the state of the art in computer graphics, physics-based simulation, and their applications. The group maintains strong collaborations with industry partners and academic institutions worldwide, fostering an environment of innovation and practical application of theoretical concepts.
Michael McAlpine is a Professor in the Mechanical Engineering department at the University of Minnesota . He also holds affiliations with the Biomedical Engineering and Electrical and Computer Engineering departments. His research focuses on 3D printing functional materials & devices , Nanoscale inks , Biomedical devices , Bioelectronics , and Flexible Microsystems . Research Interests : 3D Printing, Biomedical Engineering, Nanotechnology, Flexible Electronics, Microfluidics Labs : ME 361/363 Contact : mcalpine@umn.edu , (612) 626-3303, ME 117 Recent Research Trends include 3D Printed Biomedical Devices , Flexible Electronics , and Bioprinting Applications . His work spans from Spinal Organoid Formation to Programmable Drug Release Capsules . Scientific Award : Circulation Research 2020 Best Manuscript Award
Anirban Paul is an Associate Professor in the Department of Neuroscience and Experimental Therapeutics at Pennsylvania State University, affiliated with the Penn State Neuroscience Institute. His research focuses on cellular and molecular mechanisms of GABAergic inhibitory circuits, with particular emphasis on interneuron biology and its implications in neurological disorders. Dr. Paul's research spans multiple neuroscience domains, with primary focus on GABAergic inhibitory circuits and interneuron biology. His work investigates how specific neuron subtypes, particularly Chandelier cells and cortical interneurons, contribute to brain function and dysfunction. He has made significant contributions to understanding the role of these cells in schizophrenia, Alzheimer's disease, and other neurological conditions. His research integrates molecular, cellular, and systems-level approaches to uncover fundamental mechanisms of neural circuit assembly, plasticity, and function. Key areas include RNA regulation in neuronal development, transcriptomic subtypes of inhibitory neurons, and cell-type specific vulnerabilities in neurodegenerative diseases. His research portfolio demonstrates consistent productivity with publications spanning from 2003 to 2025, showing an evolving focus from basic molecular neuroscience to translational research in neurological disorders. Recent work emphasizes single-cell analysis techniques and the role of specific interneuron populations in disease mechanisms, particularly in schizophrenia and Alzheimer's disease. His publications appear in high-impact neuroscience journals including Neuron, BMC Biology, and Frontiers in Cellular Neuroscience. Dr. Paul has received the NARSAD Young Investigator Award (2018), recognizing his promising research in neuroscience. His scientific contributions have been supported by multiple competitive grants from prestigious organizations including the National Institute on Aging (NIA) and the Brain and Behavior Research Foundation. He serves as Principal Investigator on multiple active research projects, including two major grants from the National Institute on Aging focused on cell-type specific risk and resilience in Alzheimer's disease and aging (2021-2024 and 2024-2026), as well as previous projects from the Brain and Behavior Research Foundation investigating Chandelier cells in schizophrenia. His research program demonstrates sustained funding and scientific leadership in the field of interneuron biology and its clinical implications.
Marc V Fuccillo is an Associate Professor of Neuroscience at the Perelman School of Medicine, University of Pennsylvania, where he leads a research laboratory focused on understanding the neural circuit mechanisms underlying behavioral control. His work bridges molecular, synaptic, and behavioral approaches to investigate how striatal circuits regulate mouse behavior from simple motor patterns to complex goal-directed actions. Fuccillo holds dual appointments in the Neuroscience and Cell and Molecular Biology Graduate Groups at Penn and maintains an active laboratory investigating the synaptic and circuit basis of neuropsychiatric disorders. Education: B.A. in Molecular and Cellular Biology and Music Performance (Violin) from Brown University (1998) Ph.D. in Developmental Genetics from New York University School of Medicine (2007) M.D. from New York University School of Medicine (2008) Fuccillo's research centers on the synaptic and circuit mechanisms of behavioral control, with particular emphasis on striatal circuits. His laboratory employs a range of technologies including mouse genetics, in vitro electrophysiology, in vivo imaging, and quantitative behavioral analysis to explore how neural circuits of the striatum regulate behavior and how disruptions in these circuits contribute to neuropsychiatric disorders. His work has particularly focused on autism-associated abnormalities in behavioral control, examining how synaptic adhesion molecules like neuroligins and neurexins shape circuit function and behavior, with significant findings regarding D1 dopamine receptor positive medium spiny neurons in the nucleus accumbens. Analysis of Fuccillo's recent publications reveals a strong focus on striatal circuit function across multiple dimensions. His work spans molecular neuroscience (examining synaptic adhesion molecules), cellular physiology (studying specific neuron types in striatal circuits), systems neuroscience (mapping circuit connectivity), and behavioral neuroscience (quantifying motor learning and decision-making). A unifying theme is how disruptions in specific molecular pathways lead to circuit-level abnormalities that manifest as behavioral phenotypes relevant to neuropsychiatric disorders, with particular attention to autism, OCD, and schizophrenia models. Scientific Recognition: Publications in high-impact journals including Nature Neuroscience, Current Biology, Cell Reports, and Neuron Research supported by multiple NIH grants including NIMH F32, NIMH K01, and HHMI Gilliam Fellowship awards for lab members Fuccillo actively mentors a diverse group of trainees including postdoctoral fellows, graduate students, and undergraduates. His laboratory has produced numerous successful alumni who have gone on to faculty positions, medical residencies, and graduate programs at prestigious institutions. His mentoring approach emphasizes technical skill development across multiple neuroscience disciplines while fostering independent scientific thinking. Current research in his lab is supported by NIH funding focused on understanding the molecular architecture of striatal circuits and their role in behavioral control, with three major research directions exploring molecular logic of striatal circuits, circuit mechanisms of behavioral control, and striatal dysfunction in neuropsychiatric disease models. The Fuccillo Laboratory operates within the Department of Neuroscience at the University of Pennsylvania, with access to state-of-the-art facilities for molecular, electrophysiological, imaging, and behavioral neuroscience research. The lab maintains active collaborations with other neuroscience research groups at Penn and beyond, creating a rich intellectual environment for studying the neural basis of behavior. Current research directions include investigating whether there is a molecular logic to striatal circuit composition, how striatal circuits shape behavioral control, and what mouse models of autism, schizophrenia, and OCD can reveal about striatal circuit dysfunction in disease pathophysiology.
Johannes Larsch is a tenure-track Assistant Professor at the Center for Integrative Genomics within the Faculty of Biology and Medicine at Université de Lausanne (UNIL). His research focuses on understanding the neuronal mechanisms underlying social interactions, using larval zebrafish as a model organism. He employs advanced techniques like virtual reality and optical imaging to study how social signals are processed in the brain. Education: Bachelor of Biology, University of Konstanz, Germany PhD in Neurobiology, Rockefeller University, USA (lab of Cori Bargmann) Postdoc at Max Planck Institute of Neurobiology, Germany (with Herwig Baier) Research interests center on neuronal circuits driving group behavior, social recognition, and the interplay between genetics and environment in shaping behavior. His lab investigates how individual brains coordinate collective social behaviors through studies of neuronal activity and circuit dynamics. Current lab openings include fully funded PhD and PostDoc positions focused on social neuroscience and neurogenomics. Contact: johannes.larsch@unil.ch .
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.
Michael J. Frank is the Edgar L. Marston Professor of Psychology and Professor of Brain Science at Brown University's School of Cognitive, Linguistic, and Psychological Sciences. He holds academic affiliations with the Carney Institute for Brain Science and specializes in cognitive neuroscience, computational neuroscience, and decision-making processes. Frank earned his Ph.D. in Neuroscience & Psychology from the University of Colorado at Boulder in 2004, and joined Brown University in 2011 after serving as a Professor at the University of Arizona. His research integrates computational modeling and experimental methods to explore neural mechanisms underlying reinforcement learning, decision-making, and cognitive control, with a focus on prefrontal cortex-basal ganglia interactions and dopamine modulation. Frank's honors include the Troland Research Award (2021), Kavli Fellowship (2016), and the Cognitive Neuroscience Society Young Investigator Award (2011). He is an editor for eLife, Behavioral Neuroscience, and the Journal of Neuroscience. His lab, based at http://ski.clps.brown.edu, investigates topics such as neural circuit models of cognitive control, neuropsychological testing, and translational applications of computational models in psychiatry. Frank's research emphasizes interdisciplinary approaches, combining behavioral experiments, neuroimaging (fMRI, EEG), and pharmacological studies to dissect brain-behavior relationships. Key findings include insights into dopamine's role in motivation, decision-making deficits in schizophrenia, and computational phenotyping of mental disorders. His work bridges basic science and clinical applications, aiming to inform therapeutic strategies for neurological and psychiatric conditions.
Prof. Dr. Simon Schäfer leads the Schäfer Lab at the Technische Universität München , focusing on engineering advanced organoid systems to study human brain development, disease modeling, and repair mechanisms. His work bridges stem cell biology, gene editing, and bioengineering to develop personalized therapies for brain disorders. Stem Cell & Organoid Technology Neurodevelopmental Mechanisms Neurodegenerative Disease Models Gene Editing & Neuroimmune Interactions Translational Neuroscience Recent research emphasizes brain organoid development, microglia phenotypes, and neurodevelopmental timing anomalies in autism. His team’s work also explores zika virus interactions with glioblastoma stem cells and neuronal plasticity in psychiatric disorders. Scientific awards and funding include support from the Deutsche Forschungsgemeinschaft (DFG), Brain & Behavior Research Foundation (BBRF), and Munich Cluster for Systems Neurology (SyNergy). Collaborations span institutions like the TUM Center for Organoid Systems. Advises 6 students (2 PhD, 1 MSc, 3 associated) Labs include Schäfer Lab, COS@TranslaTUM Contact: simon.schafer@tum.de
California Institute of Technology (Caltech)United States
Frederick Eberhardt is a Professor of Philosophy at the California Institute of Technology (Caltech) since 2013. He holds a B.S. from the London School of Economics (2002), an M.S. from Carnegie Mellon University (2005), and a Ph.D. from Carnegie Mellon (2007). His research focuses on the intersection of philosophy of science, machine learning, and cognitive science, emphasizing causal discovery from data, experimental methods in causality, and foundational issues in probability and causality. He also explores computational models in psychology and historical work on Hans Reichenbach's philosophy. Recent publications span topics like causal emergence, Reichenbachian probability coordination, and causal mapping in neuroscience. His work bridges formal philosophy with empirical applications in cognitive science and computational methods. Education: B.S., London School of Economics, 2002 M.S., Carnegie Mellon University, 2005 Ph.D., Carnegie Mellon University, 2007 Research interests include formal philosophy of science, causal inference techniques, machine learning applications to causal discovery, and the philosophical underpinnings of probability. His work on causal abstraction and computational models in cognitive science highlights interdisciplinary approaches to understanding causal mechanisms. Recent publications emphasize integrating experimental and observational data for causal discovery, with applications in neuroscience and psychology. Publications reflect a focus on advancing causal reasoning methods, from theoretical frameworks to empirical validation. No scientific awards are explicitly listed in the provided text. Advising and grants details are not available here. Eberhardt is affiliated with Caltech’s Philosophy Department and contributes to theoretical and applied research in causality and its implications across disciplines.
Anna Levina is an Assistant Professor for Computational Neuroscience at the University of Tübingen , affiliated with the Department of Computer Science under the Faculty of Science. Her research focuses on the self-organization of neuronal activity, critical dynamics in neural networks, and the excitation/inhibition balance in cortical circuits. Current positions: Assistant Professor (since 2018), Group Leader (2017-2018), Equality Officer (Computer Science) Previous roles: IST Fellow (2015-2017), Associated Researcher (2011-2015), Postdoc/PI (2011-2015), Postdoc (2008-2011) Her research integrates mathematical modeling , statistical physics , and computational neuroscience to study criticality phenomena, neural avalanches, and adaptive network dynamics. Key interests include: Self-organized criticality in neural systems Excitation/Inhibition balance mechanisms Network topology and dynamics Timescale analysis in neural processing Stochastic modeling of neural activity Recent publications reveal trends in understanding critical dynamics across biological and artificial networks, with applications to memory systems, sensorimotor integration, and disease modeling. She has received recognition as an IST Fellow .
Aysegul Gunduz, Ph.D., is a Professor and Fixel Brain Mapping Professor at the University of Florida's Herbert Wertheim College of Engineering, Department of Biomedical Engineering. She leads the Brain Mapping Laboratory, focusing on neural networks and clinical translation for neurological disorders. Her work integrates electrophysiology, bioimaging, and neuromodulation to develop diagnostic and therapeutic systems for conditions like Parkinson’s disease, epilepsy, movement disorders, and stroke. Education: B.S., Electrical Engineering, Middle East Technical University (2001) M.S., Electrical Engineering, North Carolina State University (2003) Ph.D., Electrical Engineering, University of Florida (2008) Post-doctoral Fellowship in Neurology, Albany Medical College (2011) Research interests include human brain mapping, closed-loop deep brain stimulation (DBS), neuromodulation strategies for movement disorders, and wearable sensor technologies for neurological monitoring. Her lab emphasizes translational research, bridging basic science with clinical applications to improve patient outcomes. Awards include the BMES Fellowship (2024), AIMBE Fellowship (2022), and PECASE (2019), reflecting her leadership in neural engineering. Her articles explore cutting-edge topics like DBS efficacy, neural network dynamics, and ethical considerations in neural device research. Grants and collaborations focus on advancing adaptive DBS and brain-computer interfaces. She mentors students in neuroengineering and advocates for equitable participation in clinical research. The Brain Mapping Laboratory actively engages in multidisciplinary projects with neurologists, surgeons, and industry partners. Future work includes optimizing closed-loop systems for Tourette syndrome and Parkinson’s disease, developing open-source neuroimaging tools, and expanding wearable sensor applications for real-time neurological monitoring.
Evelyn Lake is an Associate Professor in the Department of Radiology and Biomedical Imaging at Yale University, with affiliations to the Wu Tsai Institute and Yale Biomedical Imaging Institute. Her research focuses on functional neuroimaging, particularly using rodent models to study brain connectivity, neurovascular coupling, and disorders like Alzheimer’s disease and autism spectrum disorder. PhD in Medical Biophysics, University of Toronto (2016) Postdoctoral Associate, Yale University (2019) BSc (Honors) in Biophysics, University of Guelph (2010) Her work spans multimodal imaging techniques (e.g., simultaneous Ca2+ and fMRI), examining how genetic mutations (e.g., PTEN, KATNAL2) affect cerebrospinal fluid dynamics and neuronal connectivity. She investigates longitudinal changes in Alzheimer’s models and methodological aspects of animal neuroimaging, such as sample size optimization and awake imaging protocols. Recent publications highlight her contributions to understanding autism-related white matter abnormalities, transdiagnostic connectome predictive modeling, and the impact of neurovascular uncoupling in awake mice. Collaborations include Todd Constable, Francesca Mandino, Xilin Shen, and Xenophon Papademetris.
Dr. Hillel Adesnik is a Professor in the Department of Neuroscience at the University of California, Berkeley, and a leading researcher in the neural basis of sensory perception. His lab focuses on cortical microcircuits, optogenetics, and neural coding, with emphasis on visual processing and memory formation. Key Research Areas: Cortical Microcircuits Optogenetic Tools Gamma Band Rhythms Neural Coding Mechanisms Dr. Adesnik has pioneered high-speed optical methods like 3D-MAP and 3D-SHOT to manipulate neural activity. His work spans cortical dynamics, synaptic plasticity, and cortical layer interactions, with applications in understanding learning algorithms and sensory inference. Selected Trends from Publications: Recent preprints and papers highlight advancements in cortical VIP neuron function, channelrhodopsin structures, and inter-areal computations. His team utilizes two-photon holography, cryo-EM, and computational modeling to decode perception-related neural codes. Scientific Awards: NIH Director's New Innovator Award (2013) Dr. Adesnik's lab collaborates with institutions like NIH and develops tools for awake animal studies. Funding includes grants from the Beckman Young Investigator Program and NIH.
University of California, Los AngelesUnited States
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.
