Профессорско-преподавательский состав программы владеет высокой профессиональной подготовкой, а также имеет международный авторитет и широкие связи с зарубежными университетами и научно-исследовательскими центрами.

 

Болдырев Ю.Я.

Болдырев
Юрий Яковлевич

проф., д.т.н.

.

 

Elena Valerievna Golubkova

Elena Golubkova

PhD

Elena Valerievna Golubkova, PhD, Department of Genetics and Biotechnology, St.-Petersburg State University. I received my Master Diploma at Department of Genetics of St.- Petersburg State University.
My PhD thesis was "Influence of the alleles of the small bristles (sbr) gene on reproductive functions of females and morphogenesis at Drosophila melanogaster". Postdoctoral, I continue to work at Department of Genetics. Currently, we are investigating the role of evolutionarily conserved RNA-binding protein NXF1 (nuclear export factor) in embryogenesis, spermatogenesis, oogenesis, and neurogenesis and neurodegeneration. The range of interests includes in the first place, developmental genetics and evolution of genes.

 

Гурский В.В,

Гурский
Виталий Валерьевич

к.ф.-м.н.

I received my Master’s degree in Physics from the Saint Petersburg State University (Department of high mathematics and mathematical physics), with the research on group symmetries and exact solutions of nonlinear differential equations. After that, I started working in Theoretical Department of Ioffe Institute of the Russian academy of sciences, where I continue working to the present day. My scientific interests shifted towards mathematical modeling of biological systems. I was mainly interested in developing and studying mathematical models of transcriptional regulation of genes which control Drosophila development. I defended my PhD thesis on this subject from Peter the Great Saint Petersburg Polytechnic University. As a researcher in the Systems biology and bioinformatics lab (headed by Prof. Sergey Nuzhdin) in this University, I focus on investigating mechanisms of transcriptional gene regulation and evolution of these mechanisms. We use deterministic and stochastic models of transcription, calibrated on new experimental data, to formulate the detailed mapping between genotype (the sequence of DNA regulatory regions) and molecular phenotype (the spatio-temporal gene expression patterns) for some genetic networks. With the help of computational experiments in these models, we explore evolutionary characteristics of the regulatory regions and their consequences for the organism.
Lev V. Utkin

Lev V. Utkin

PhD

  Received my PhD from the Leningrad Institute of Electrical Engineering (now St. Petersburg State Electrotechnical University) in information processing and control systems (1989). Thesis: “Variance reduction technique for computing the noise immunity measures of communication systems”.

  Received my DSc from the St. Petersburg State Institute of Technology (Technical University) in mathematical modelling, numerical methods and software systems (2001). Thesis: “Methods and models for the reliability and safety analysis of information systems under incomplete information”.

  Currently Professor at the Telematics Department (under the Central Scientific Research Institute of Robotics and Technical Cybernetics), Institute of Applied Mathematics and Mechanics, Peter the Great Saint-Petersburg Polytechnic University.

  Member of the Society for Imprecise Probability Theory and Applications (SIPTA), member of the International Society on Multiple Criteria Decision Making (ISMCDM). Awarded an Alexander von Humboldt Foundation Fellowship (2001-2003), Munich Ludwig-Maximilian University (LMU), Department of Statistics. • Member of the Higher Attestation Commission of Russia in Computer Science from 2014. Issued more than 300 research publications including six books.

  Research interests are focused on machine learning, artificial intelligence, imprecise probability theory, decision making, risk analysis and bioinformatics. Special interests are machine learning models by small, uncertain and imprecise training data.

Natalia Kadyrova

Natalia Kadyrova

Associate Professor

  Natalia Kadyrova, Associate Professor, Department of Applied Mathematics, St. Petersburg Polytechnical University. Education: Leningrad State University, M.Sc. (Mathematics) ; Ph.D in Biology, Central Research Institute of Roentgenology and Radiology, Ministry of Public Health of the USSR (Leningrad). Teaching experience: Graduate courses in numerical methods, programming languages, probability theory and mathematical statistics. Special courses: "Survival data analysis", "Big data analysis: support vector machines".

  Research supported by grants and visiting positions: ICRETT Grant of the International Union Against Cancer, University Rene Descartes, Laboratory of Medical Statistics. Paris, France. Grant of the Association pour la Recherche sur le Cancer, Curie Institute, Department of Biostatistics. Paris, France. Main activities in applications of probabilistic and statistical methods to radiobiology and clinical oncology. At present the main research field is data mining (big data analysis), in particular SVM-methods.

 

Fedor Novikov

Fedor Novikov

D.Sc, Senior Researcher

D.Sc, Senior Researcher, Professor of Applied Math Department at Peter the Great St.Petersburg Polytechnic University. His main interests are knowledge representation and formalization of modeling. He is a lecturer in Internet technologies.

 

sСамсонова М.Г.

Самсонова
Мария Георгиевна

проф., д.б.н.

I received my DSc degree in 2008. At present I am Professor at Department of Applied Mathematics and Head of Mathematical Biology and Bioinformatics Laboratory of the Peter the Great St. Petersburg Polytechnic University. I also lead Master program in Bioinformatics, supervise master and PhD projects. I am an author of 79 scientific papers published in distinguished international journals. I am a Principal Investigator of many grants and projects awarded by International and Russian foundations and organizations, an editorial board member of Mathematical biology and Bioinformatics Journal and Vavilov Journal of Genetics and Breeding, a member of the Russian Academy of Sciences Scientific Council on mathematical biology and bioinformatics, member of program committees of many international conferences and invited speaker at many conferences. My focus is on both modeling of biological processes and development of methods and algorithms for analysis and processing of biological data.

 

Смирнов Д.Б.

Смирнов
Денис Борисович

доц., к.т.н.

I develop, analyze and implement numerical methods for the solution of partial differential equations that arise from modeling scientific and engineering problems. My research interests lie in various aspects of the numerical methods, including discretization schemes, grid adaptation, iterative methods for solving large-scale systems of equations, parallel calculations.

 

Maxim Frolov

Maxim Frolov

D.Sc is A.P. & H.D.

Maxim Frolov, D.Sc is Associate Professor and Head of Department of Applied Mathematics at Peter the Great St.Petersburg Polytechnic University. He graduated form this Department in 2001 and in 2004, after three years of postgraduate training, defended PhD thesis in 05.13.18 –“Mathematical modeling, numerical simulations and program complexes” under supervision of Prof. Sergey Repin. Maxim Frolov main scientific interests are problems of mechanics and mathematical physics and development of reliable methods for numerical solution of these problems based on aposterior control of accuracy.

 

Georgy L. Shevlyakov

Georgy L. Shevlyakov

Ph.D

  Georgy L. Shevlyakov received the M.S. degree in control and system theory (summa cum laude) and the Ph. D. degree in signal processing and information theory from the Leningrad Polytechnic Institute, Leningrad, Russia, in 1973 and 1976, respectively. In 1991, he received the Dr. Sc. degree in mathematical and applied statistics from the St. Petersburg Technical University, St. Petersburg, Russia.

  From 1976 to 1979, he was with the Biometrics Group at the Vavilov Research Institute in Leningrad as a Research Associate. From 1979 to 1986, he was with the Department of Mechanics and Control Processes at the Leningrad Polytechnic Institute as a Senior Researcher working in the field of robust statistics and signal processing. From 1986 to 1992, he was with the Department of Mathematics of the St. Petersburg Technical University as an Associate Professor, and from 1992 to 2003 as a Professor. From 2003 to 2009 he was a Visiting IT Professor at the Department of Information and Communications, Gwangju Institute of Science and Technology (GIST), Korea. He is currently a Professor at the Department of Applied Mathematics of Peter the Great St. Petersburg Polytechnic University. His research interests include robust and nonparametric statistics, data analysis, queuing and information theory with their applications to signal processing. He published 3 monographs on robust statistics (2002, 2011 and 2016), 1 text-book on probability and mathematical statistics (2001), and more than 100 papers. He is a member of IEEE and Bernoulli societies.

 

Козлов К.Н.

Козлов
Конастантин Николаевич

к.б.н., внс

I graduated from the Peter the Great St. Petersburg Polytechnic University, one of the top-rated universities in Russia, and obtained the Ph.D. degree in Bioinformatics, Computational biology and Modeling in 2013. I have been a research fellow in the Mathematical Biology and Bioinformatics Lab since 2001 and became a leading researcher in 2014. I am a specialist in applied mathematical methods and information technologies, and conduct scientific research in the field of mathematical modeling of biological systems, optimization and biomedical image processing.

 

Rukolaine Sergey A.

Rukolaine
Sergey A.

доц., к.т.н.

I graduated from Leningrad (now St. Petersburg) State University, Faculty of Mathematics and Mechanics
I recieved my PhD from the Ioffe Institute, St. Petersburg
I work at the Ioffe Institute, Laboratory of Applied Mathematics and Mathematical Physics
I lecture at the Peter the Great St. Petersburg Politechnic University, course in the Equations of Mathematical Physics

 

Суркова С.Ю.

Суркова
Светлана Юрьевна

к.б.н., снс

My role is in acquisition of high-resolution confocal images of gene expression patterns and in processing and analysis of quantitative data. During my PhD I studied the dynamics and variability of gene expression patterns which are responsible for determination of the first embryonic structures in Drosophila. Currently I study the molecular mechanisms of transcriptional regulation in the genetic networks controlling development.

 

Нуждин С.В.

Нуждин
Сергей Викторович

к.б.н., профессор

Prof. Nuzhdin leads laboratory at the University of Southern California in US and at the same time he established a new laboratory at Peter the Great St.Petersburg Polytechnic University with focus on genomics and bioinformatics. He is a leading researcher in the field of population and evolutionary biology. Sergey Nuzhdin published more than 130 papers in high profile journals. He was a supervisor of more that 15 PhD theses and his former postgraduate students now work in the top US Universities, such as Cornell Univ., Univ. of Southern Carolina, Univ. California Santa Barbara, Chapman University to mention a few. Sergey main scientific interests are in the field of genomics, systems biology and bioinformatics.