Salvador Dura-Bernal is a tenure-track Assistant Professor in the department of Physiology and Pharmacology at SUNY Downstate, and a Research Scientist at the Nathan Kline Institute of Psychiatric Research. He completed his PhD and first post-doctoral fellow at the University of Plymouth, UK; followed by post-doctoral research at Johns Hopkins and SUNY Downstate. His research focuses on understanding cortical circuits through large-scale biophysically-detailed simulations on supercomputers. Dr.
Principal Investigator / Assistant Professor
Joe is a research scientist in the Dura-Bernal Lab, where he develops, documents, promotes, and trains new users in NetPyNE (www.netpyne.org). Previously (2016-2019), he was a contract scientist at the Neurosim Lab, where he used a variety of software tools (NEURON, Python, NetPyNE) to develop simulations and analysis in support of Embedded Ensemble Encoding (EEE) Theory, developed and refined morphologically-simplified models of cortical neurons, and created network models of cortical form and function.
Donald is a theoretical and computational neuroscientist with more than 20 years of private industry experience in information technology, especially data and machine intelligence. He was founder of successful high-tech start-up companies including Brainstage Research, Inc., where he created a commercial platform used to aggregate the world’s life sciences and medical data. Brainstage Research, Inc. was sold in 2007 and reincorporated as Brainstage, Inc. Donald served as Chief Science Officer of Brainstage, Inc.
Research in computational neuroscience with 27 publications in peer reviewed journals, and PI/co-PI in 7 research grants. Lectured undergraduate courses, and organized Courses on Computational Modeling. Investigates neural network models with research mainly focused on neuronal synchronization, synaptic plasticity, and epilepsy models (in silico, in vivo, and in vitro), also investigates full-scale microcircuits models of hippocampus, somatosensory and motor cortex in rodents through simulations in cloud computing.
Greg is a career Computer Scientist with broad academic, technical, research, and leadership experience. He received his Doctor of Science and M.S. in Computer Science from The George Washington University in Washington, DC (2002), and his B.S. in Computer Science from Norfolk State University. His areas of expertise include Software Engineering and Systems, Parallel and Distributed Computing, Information Assurance, Mobile Computing, and Machine Learning.
Visiting Research Scientist
Eugenio is a nuclear engineer but soon in his career, he became interested in biology and neuroscience. Then, he completed a Ph.D. in Physics studying the role of adaptation currents and history-dependent stochastic effects on neural coding under the supervision of Dra. Inés Samengo at Balseiro Institute (Bariloche, southern Argentina). Then, he moved to Italy to broaden his interests in cognitive neuroscience under the self-organized tutorship of Prof. Dr. Alessandro Treves, who introduced him to the grid cells' world, spatial coding, and all that, in a project lead by Edvard Moser.
Currently a Ph.D. Canditade at the State University of New York - Downstate Medical Center (2019-present).
M.Sc. in Neuroscience from the Federal University of São Paulo (2017-2019), B.S. in Biomedical Engineering from the Vale do Paraíba University (2012-2016) and Visiting Student at the University of Illinois at Chicago (2014).
My interests are in the development of biophysically inspired computational models of the brain, bridging the gap between fundamental questions in neuroscience and computer simulations.
Claire Short is a data scientist and current research intern in the Dura-Bernal lab, modeling effects of ketamine in depression. She completed her Masters in Cognitive Science in Education at Columbia University in New York and worked as a research assistant in the Roitman Behavioral Neuroscience Lab at the University of Illinois at Chicago studying impulsive decision making.
She enjoys creating art with machine learning and neuroscience, creative coding, traveling, and learning about remote islands.
Currently an MS student in Computational Applied Mathematics at California State University, Fullerton (2020-Present).
BS in Mathematical Sciences from the University of California, Santa Barbara (2015-2020). Exchange student at Lund University (2019) and Università di Bologna (2017).
My broad interests are at the intersections of Mathematics, Physics, and Biology. Specifically Computational Neuroscience, Computational Oncology, and Numerical Analysis within these broad fields.
Currently an MSc student in Biological Sciences with a Mention in Neuroscience at University of Valparaíso, Chile (2019 - present).
BS in Physics with a Mnetion in Astronomy, Northern Catholic University (UCN), Antofagasta, Chile (2013 - 2018).
Valery obtained his M.S. in Applied Math and Computer Science from Tavrida National University, Ukraine, in 2011. He has solid experience in enterprise software engineering, but the long-standing interest in questions of brain and mind finally turned him on to computational neuroscience. Valery strives to employ his engineering skills, mathematical intuition and all the researcher’s passion to contribute to exploring this most challenging and fascinating field.