FIELD OF RESEARCH:

Computational and Theoretical Neuroscience

SCIENTIFIC INTERESTS:

• Information processing and information coding in neural networks.
• Detailed biophysical models of local neural networks. Analysis of neural network dynamics influenced by single neuron dynamical properties (afterpolarization, bursting, postinhibitory rebound, etc.).
• Neuronal mechanisms of sensory perception.
• Formation and stabilization of neuronal assemblies. Development of network connectivity. Synaptic plasticity, spines, back propagated action potential, calcium, and biochemical kinetics.

EDUCATION:

2000 – 2003	Ph.D. in Computer Science (Technical science)
	at A.B.Kogan Research Institute forNeurocybernetics (KRINC),Southern Federal University (SFedU), Russia;
	Thesis: “Design and Study of Single Neuron Model for Recurrent Medium- and Large-Scale Networks”
	Advisers:
	- Prof. Boris M.Valdimirski (Mathematics and Modeling)
	- Dr. Lubov N. Podladchikova (Neuroscience)
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1986 – 1991	M.Sc.(Diploma) in Physics, SFedU.
	Thesis: “Study of He-Sr Recombination Lasers in a System Generator - Amplifier”
	Advisors:
	- Dr. Leonid M. Bukshpun
	- Dr. Evgeni L. Latush

TRAINING:

2017 – 2019	Senior Postdoctoral Researcher in Computational Neuroscience at LSUHSC
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2015 – 2017	Senior Postdoctoral Researcher in Computational Neuroscience
	at the Institute of Massively Parallel Applications and Computer Technologies (IMPACT),
	School of Engineering and Applied Science (SEAS), George Washington University (GWU), Washington, D.C.
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2011 – 2015	Postdoctoral Researcher at LSUHSC
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October 2008	Training Course “Methods and Approaches for Modeling Human Colour Appearance” at the School of Engineering and Information Science, Middlesex University, London

PROFESSIONAL APPOINTMENTS:

2019 to present	Senior Research Scientist at
	Department of Physiology & Pharmacology,
	School of Medicine and Health Sciences,
	George Washington University (GWU), Washington, D.C.
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2017 – 2017	Senior Postdoctoral Research Scientist in Computational Neuroscience at LSUHSC
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2015 – 2017	Senior Postdoctoral Research Scientist in Computational Neuroscience at IMPACT, SEAS, GWU
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2011 – 2015	Postdoctoral Researcher at the Louisiana State University, Health Sciences Center (LSUHSC)
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2007 – 2015	Senior Researcher / Principal investigator, KRINC, SFedU
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2005 – 2007	Senior Researcher, KRINC, SFedU
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2004 – 2005	Researcher, KRINC, SFedU
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2002 – 2004	Junior Researcher, KRINC, SFedU
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2000 – 2003	Postgraduate Student, KRINC, SFedU
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1991 – 2000	Junior Researcher, Research Institute of General Physics, the Russian Academy of Sciences

PROFESSIONAL ACHIEVEMENTS:

since 2021	Review Editor in the Editorial Board of Frontiers in Computational Neuroscience
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2019 to present	Guest Editor for the Third Special Volume on
	“Applications of Operations Research for Neuroscience”
	in Annals of Operations Research, Springer.
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2019	Member of review committee of 28th International Conference
	on Artificial Neural Networks, ICANN2019
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2018 – 2019	Guest Editor for the Second Special Volume on
	“Applications of Operations Research for Neuroscience”
	in Annals of Operations Research, Springer.
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2014 – 2017	Guest Editor for a Special Volume on
	“Applications of Operations Research for Neuroscience”
	in Annals of Operations Research, Springer.
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2014 – 2018	Reviewer in Proceedings in National Academy of Science (PNAS), Hippocampus and PloS One journals
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2014	Invited speaker at the Neuroscience Gateway Portal workshop, Washington D.C.
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2006 – 2007	Co-investigator in the grant 05-01-00689
	“Modeling and Studying the Mechanisms of Choosing the Most Informative
	Fragments While Viewing Images of Different Types”
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2005, 2006	Member of review committee of Computational Neurosciences conference
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2004, 2007	Reviewer in Neurocomputing journal, Elsevier
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2001 – 2004	Co-investigator in the grant 015.07.01.002
	“Study of High-Specificity Neuron Ensembles”, supported by the program “University of Russia”
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2003 – 2005	Co-investigator in the grant 00-04-48369
	“Investigation of Variability Mechanisms of Simple and Complex Spike Activity
	of the Cerebellar Purkinje Cell”, supported by Russian Foundation for Basic Research.
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2001 – 2002	Co-investigator in the grant 00-04-49344
	“Studying Mechanisms of Integration of Inputs of Various Modality to
	Cerebellum Purkinje Cells with Shared and Different Climbing Fibers”,
	supported by Russian Foundation for Basic Research.

RESEARCH FUNDING:

2005 – 2006	PI of the grant UR.07.01.277
	“Study of Neuronal Mechanisms of Multimodal Information Integration
	by Modeling the Cerebellar Purkinje Cells with Shared Olivary Afferent Fiber”,
	supported by the program “Universities of Russia”.
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2003 – 2004	PI of the grant: “Searching for Clusters in the
	Multidimensional Biologically Plausible Neural Network”, supported by KRINC

SELECTED WORKSHOPS, SEMINARS, ORAL PRESENTATIONS:

1. Resonant Interneurons Can Increase Robustness Of Gamma Oscillations. UT Austin Conference on Learning & Memory, Austin, 2015
2. Microsecond Accuracy in Detection of Interaural Time Differences by Population of Sluggish and Noisy Integrating Neurons: Why Do We Need Large-Scale Network Simulations and Neuroscience Gateway Portal. Workshop of Neuroscience Gateway Portal, Washington D.C., 2014
3. Resonant Interneurons Make Network Oscillations Robust to Noise and Heterogeneity. Seminar at the Neuroscience Center of Excellence, LSUHSC, New Orleans, 2014
4. Super Stable Solution and Two Types of Nesting in Feed-Forward, Multifrequencies Oscillatory Networks. Phase-Resetting Theory Workshop, Atlanta, 2012
5. Theta Entrainment/Modulation of Gamma Modules: Effect of Noise Phase-Resetting Theory Workshop, New Orleans, 2011
6. The Necessary and Sufficient Conditions for Population Coding of Interaural Time Differences by Trough-Type Neurons. Seminars at the Center for Neural Science (Prof. J. Rinzel’s lab), New York University, NY and the Department of Neuroscience, University of Connecticut Health Center, Farmington, CT, 2010

TEACHING AND ORGANIZATIONAL EXPERIENCE:

2015	Lecturer for Special topic course ANAT 280
	at LSUHSC (theoretical and computational neuroscience course)
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2011, 2012	Founder for “Neuroscience” specialization (a set of courses)
	at the Summer School “Achievements in Contemporary Mathematics, Informatics and Physics”,
	The National Technical University “Kyiv Polytechnic Institute” [http://summerschool.ssa.org.ua] (AACIMP NTTU KPI), Kyiv, Ukraine.
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2010	Co-organizer for “Physics, Chemistry and Live Systems” stream AACIMP NTTU KPI, Kyiv, Ukraine
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2010	Lecturer at “Neurotechnology” Summer School, BioN (Tempus Program), Moscow, Russia.
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2010	Invited lecturer at “Neurotechnology” Summer School, BioN (Tempus Program), Moscow, Russia.
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2006 – 2010	Invited lecturer at AACIMP NTTU KPI, Kyiv, Ukraine
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2004 – 2013	Scientific adviser for more than 6 undergraduate students and
	two postgraduate students: Viacheslav A. Vasilkov (PhD in Biophysics)
	and Irina A. Ischenko (PhD in Physiology).

HONORS AND AWARDS:

2015	Best Abstract and Invited Poster Talk Award at UT Austin Conference on Leaning & Memory
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2007, 2010, 2012	Best Lecturer Award in AACIMP NTTU KPI
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2004, 2012	Best Research Award in annual SFedU competition of publications
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2001	“Best Paper Award” at Summer School “Neuroinformatics: Modern Approach”, KRINC, SFedU
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1989 – 1991	“The Best Student Report” Awards at annual student scientific conferences, SFedU

PROFESSIONAL SKILLS:

• Specific simulation environments XPP, Neuron (ParallelContext, Neuron+Python), Brian, Genesis, NEST;
• Numerical methods, Applied Mathematics, Probability Theory, Stochastic Dynamical systems;
• Optimization procedures, genetic and evolutionary algorithms, parameters fitting;
• Programming C and C++, Python, Matlab, Euphoria, Bash script, etc.
• Linux parallel programming OpenMP / MPI (OpenMPI, MPICH2)
• Linux parallel environment (slurm, PBS, SGE etc)
• Linux HPC cluster design and system administration (nisms.krinc.ru, beowolf.lsuhsc.edu, etc).