Our Team


Valeriy Gavrishchaka received his MS and PhD degrees in computational and theoretical physics from Moscow Institute of Physics and Technology (Russian Federation) and from West Virginia University (USA) in 1989 and 1996, respectively. From 1997 to 2002 Valeriy worked as multi-disciplinary research scientist and consultant at Science Applications International Corporation (McLean, Virginia) on a wide range of projects in plasma and space physics, space weather forecasting, expert systems for engineering applications and many others. From 2002 to 2010 Valeriy worked for several multi-billion New York based hedge funds as head of quantitative research and quantitative strategiest. He continues to provide consulting services in quantitative finance and other types of business intelligence. Valeriy Gavrishchaka is also an adjunct professor of physics at physics department of West Virginia University. His main research interests include development and applications of novel multi-disciplinary approaches and integrated frameworks for applied quantitative modeling of complex systems in physics, finance, econometrics, medicine, and other scientific and business fields. He also develops and applies analytical models and multi-scale simulations to study fundamental processes in different physical, engineering, biological, and other systems. READ MORE


Mark Koepke received his PhD in experimental plasma physics in 1984 from the University of Maryland and spent time at NASA-Goddard (engineering aide), Lawrence Livermore National Laboratory (physicist), and the University of Washington (research associate and research assistant professor) before launching the plasma physics program at West Virginia University (WVU) in 1987, where he has hosted graduate, postdoctoral, and sabbatical appointments from South Africa, Israel, Germany, Austria, and Japan. He served simultaneously as Acting Director of the Research Division ($300M/year budget), Team Lead for Discovery Science and Joint Programs, and Senior Scientific Coordinator for Basic Plasma Science in the Office of Fusion Energy Science, Office of Science, U.S. DoE (2009-2011). He is Robert C. Byrd Professor of Physics at WVU. Dr. Koepke held visiting appointments at 3 European universities (Kiel, Greifswald, and Innsbruck) and held Affiliated Professor status at the Royal Institute of Technology in Stockholm. He is a Fellow of the American Physical Society (USA), Institute of Physics (UK), and Japanese Society for the Promotion of Science (Japan). From 2006-2009, he represented the U.S. plasma physics community on Commission 16: Plasma Physics of the International Union of Pure and Applied Physics (IUPAP) and is U.S. Deputy Editor of Plasma Physics and Controlled Fusion. Mark’s service on committees within the American Physical Society’s Division of Plasma Physics has been extensive. Mark’s main research interests include basic plasma physics (wave-particle interactions, instabilities, turbulence-induced energy transport, dynamical complexity), auroral particle acceleration, complex (dusty) plasmas, industry-related plasma physics at the interface between a plasma and a material boundary, driven-oscillator spatiotemporal phenomena, and plasma diagnostic techniques.


Olga Senyukova graduated from Moscow State University, Department of Computational Mathematics and Cybernetics in 2008. Currently she is an assistant professor at Moscow State University, Department of Computational Mathematics and Cybernetics and researcher at Graphics and Media Lab. Olga participated in several joint projects including projects with Samsung Advanced Institute of Technology (SAIT) and with P.K. Anokhin Institute of Normal Phisiology. Olga’s research interests mainly lie in the area of medical image processing and visualization, automatic medical data analysis, 3D reconstruction of real world objects and scenes from single or multiple images as well as novel machine learning algorithms. Watch Olga speak HERE

Zhenyi Yang received his BS and MS degrees in Financial Mathematics from University of Michigan Ann Arbor and The Johns Hopkins University in 2011 and 2013. Currently, Zhenyi works as financial engineer in a major financial company. He is an all-round data scientist and computer science expert. His current research interest includes development and real-life applications of ensemble-based models, deep learning neural networks and other machine learning algorithms. He successfully applies novel machine learning frameworks to challenging problems in biomedicine and quantitative finance.
Rebecca Miao has MS degree of Financial Mathematics from Johns Hopkins University and BS degree of Applied Mathematics and Computer Science from University of California, San Diego. Currently she is working in a financial firm and focuses on the Risk Management, Quantitative Analysis and Machine Learning.� For the recent five years, she has applied her programing and analytical skills on several fields, which include biostatistics, high-performance computing and credit risk. Her current research is focused on development and applications of novel machine learning algorithms (including various ensemble-based and deep learning frameworks) to challenging problems in biomedicine and quantitative finance.
Marina Orlova received her MS degree in biophysics from Moscow State University in 2017. She is an expert in mathematical and statistical modeling, bioinformatics and backend python development with 6+ years of experience in biomedical and IT industries.
Kristina Davis received her B.S. degree in biology and M.D. degree from West Virginia University in 2009 and 2012, respectively. Currently she is a resident at the University of Michigan. Besides clinical practice, Kristina has a wide scope of interests ranging from cancer research and bioinformatics to advanced diagnostic and monitoring techniques based on physiological time series analysis. She is an author of several recent publications covering such topics as cancer biopsies, measurements of airborne influenza virus, multi-complexity measures for early detection and monitoring of neurological abnormalities from gait time series, and others.

Olga Barinova is a research scientist at Graphics and Media Lab, Moscow, Russian Federation. She received her doctoral degree from Moscow State University (Department of Computational Mathematics and Cybernetics) in 2010. Olga’s main research interests lie in computer vision and machine learning. Author of many multi-disciplinary publications where several novel machine learning algorithms and their applications have been introduced. She is also a co-author of several patents. Olga participated in a number of joint research projects with different companies including Vicman, Samsung Advanced Institute of Technology (SAIT), and Microsoft Research. GOOGLE SCHOLAR PROFILE


German Gunin has MS degree in theoretical physics (St. Petersburg State University, St. Petersburg, Russia, 1994) and PhD degree in Economics (St. Petersburg State University of Engineering and Economics, St. Petersburg, Russia, 2005). For the last 12 years German worked for the world’s leading financial institutions in senior analytical and R&D positions in the field of financial risk management, algorithmic trading, predictive modeling, data mining and applied artificial intelligence. He is author of over 20 publications on various applications of scientific principles to real-world problems. Currently German is working for the Bank of Nova Scotia (Toronto, Canada) as a Senior Manager, Advanced Analytics and Modeling. READ MORE

Olga Ulyanova holds MS degree in Physical Education and Sport from Kuban Sport Institute (Russia). During many years Olga successfully combines active carrier in different areas of professional sport industry and related academic activities. Currently, Olga is assistant professor at the Department of Sport Industry and the vice-president of the sport club at Plekhanov Russian Academy of Economics (Moscow, Russia). Olga’s professional interests include innovative approaches in physical education and sport based on objective analysis of multi-channel psycho-physiological data and performance metrics for personalization and optimization of coaching, training protocols, and other decision-making tasks in professional sport.

Alexander Monin has MS degree in engineering. He is a member of Rus’ Sport rally team which has successful track record in major Russian and international rally championships. Alexander’s professional interests include novel wearable sensors for psycho-physiological data collection and modeling as well as other real-time data collection technologies that can be used in sport applications, biofeedback techniques, and personalized medicine. He is also an expert in short-wave radio technologies. READ MORE


Oleg Ivanenko holds MS degree from art and graphics department of Kuban State University (KSU), Russia. Currently he is assistant professor at KSU ([email protected]). Oleg also continues working on his PhD dissertation on visual art technologies. His works are demonstrated in prestigious regional art exhibitions. Oleg is talented artist with his own style. His current professional interests also include computerized analysis of visual art and related novel technologies. READ MORE

Ksenia Tulnova is actively involved in quality assurance of various AQSCS solutions, identification and collection of data for special and rare events/cases in biomedical, financial markets, and image processing domains as well as in providing ad-hoc technical assistance in various activities of the AQSCS research and development group. Her other interests include applied psychology, photography, and music.
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