OBJECTIVE
To apply my extensive knowledge of mathematics, statistics, and computer science, and problem-solving skills
EDUCATION
Worcester Polytechnic Institute, Worcester, MA
Doctor of Philosophy in Mathematics Feb 2014
MS in Applied Mathematics Feb 2009
Voronezh State University, Voronezh, Russia
MS in Applied Mathematics and Computer Science June 2007
BS in Applied Mathematics and Computer Science July 2005
RESEARCH EXPERIENCE
Preferred Frequencies for Coupling of Seismic Waves and Vibrating Tall Buildings (Ph.D. Dissertation)
Developed a mathematical model and introduced an algorithm to solve a seismic "city-effect" problem, a phenomenon which occurs when an earthquake hits a big city;
Solved the corresponding system of partial differential and integral equations numerically in Matlab; justified the method theoretically and analyzed the results;
Studied the Helmholtz equation and its Green's function in periodic domains and applied different approaches to handle the singularity and convergence issues;
Solved the interior Neumann problem in a general two-dimensional domain using the Nystrom method.
Currency Exchange Rate Forecasting Using Neural Networks (Bachelor's and Master's Thesis)
Performed data collection, data mining, and time series decomposition which included extraction of trend, cyclical, seasonal, and irregular components;
Made a statistical preprocessing, including smoothing and linear regression analysis, of trend and irregular components in Excel;
Constructed the optimal neural net structure based on backpropagation net, developed a software piece using object-oriented programming language (Delphi);
Coupled technical analysis and neural network forecasting for the currency market.
Cell Movement (Ph.D. Project)
Constructed a mathematical model for a one-dimensional crawling cell based on viscoelastic theory;
Simulated the resulting system of ordinary differential equations using finite difference methods in MatLab.
Statistical Analysis of the Dependence of a Crime Rate on Socioeconomic Factors in Statistica 6.0 and SAS 9.0 (Master's Project)
Checked the hypothesis about the normal distribution of several factors which influence the crime rate;
Applied different statistical methods, such as dispersion analysis, factor analysis, and cluster analysis, to study the correlations;
Classified the data, figured out connections between the crime rate and different socioeconomic factors and determined the crucial factors.
SOA/CAS EXAMS and VEE CRED...
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