Data researcher with wide expertise in machine learning, data analysis, signal processing
Solving customer's machine learning and data analysis problems from economics, finance, ecology, signal processing and other areas of study.
Analysis of mass spectrometry data for medical diagnostics. New algorithms for spectrometry data processing. Machine learning with small datasets and large number of features.
Medical image processing, development of methods and aggregated predictive features for survival analysis with medical applications.
Developed methods and software for computerized drug discovery. Creating commercial application with C++.
Assessment of differential gene expression for RNA microarrays based on a single array. The idea served as foundation of many further statistical studies in various institutions, including University of Berkeley. Designed and developed GUI software for modeling of microarray data. Presented the results on the conference and made invited talks on this subject in universities and commercial companies.
Ph.D., Computer Science. Dissertation: Discovery of optimal logical rules in data. Institute of Automated Control, Russian Academy of Science, Moscow, Russia
Master of Science., Mathematics, Ural State University, Russia
Most of real life problems do not fit easily in machine learning paradigm. We will learn your domain to formulate the task in machine learning terms. Our goal is to provide you with the solution optimized for your decision making process
Every problem is unique, so shall be the solutions. The algorithms will be customized or developed a new, as necessary.
Quite often, we need to improve, transform data before using them. This includes development of meaningful aggregated predictive features in cooperation with the client.
We will find statistical properties of your data, relevant to your tasks
All richness of machine learning methods, including supervised, unsupervised, semi-supervised is used to find the best solution.
The results are presented in intuitive, easy to comprehend ways. If necessary, special ways of visual presentation are developed.
Clients can count on us to get an explanation of used methods and the results
We deliver scientific software to implement discovered methods. Most of times, high level languages (as MatLab, R, Python) are used. The code then can be translated into system's language or used as is. In the last case, we build flexible user interface with input and output of the reports.
"Marina is a seasoned Machine Learning Expert. She's diligent, hard working and innovative. I highly recommend her for difficult Machine Learning problems."
"Marina is a fast learner and uses that subject matter knowledge with her mathematical skills to build effective models. Her work involved mathematical analysis of parallel 'noisy' time series with lags to make assessments of system performance. Her processing was efficient and her reports were very intuitive."
"Marina has a strong background in machine learning and statistical analysis. She shows initiative and creativity in finding and developing custom solutions for practical problems. Marina is eager to learn and apply new knowledge, be it a new computer language, or specifics of a particular biomedical problem".>
"Marina is a talented and creative scientist 100% focusing on a problem. She has a lot of original ideas leading to interesting solutions."
"Marina is one of the top Machine Learning scientists I had the pleasure to interact with. Marina has gifted at translating the abstract into the practical and an innate way to constant ingenuity."