Our models are made by people who have spent most of their lives in the areas of statistics, economics, marketing, and operational research. Our consultants and technical advisors are renowed specialists in their areas of expertise.
President – Leon Steinzeig
has a PhD in engineering and a Master of Public Administration from Columbia University; he is a specialist in statistical modeling of complex physical processes, computer sciences, and finance. Leon has rich experience in marketing modeling and agent based modeling and has worked on several accounts with large corporations.
Miguel A. Arranz
PhD in Econometrics, Lecturer at the Department of Economics, Universidad Carlos III de Madrid (Spain), and quantitative consultant. His main interests are in Times Series Analysis, Discrete Choice Models, Panel Data Econometrics, Bayesian, Nonparametric, and Computational Statistics, applied to demand and pricing analysis. Miguel has published some articles on these topics and worked on many corporate projects as statistical and business consultant.
Ph.D. in Marketing, the University of Southern California; M.B.A., with a concentration in marketing and production and operations management, U.C.L.A.; B.A. in economics, cum laude, Harvard College. Robin has conducted survey research and depth interviews and helped develop strategies for a range of business clients. Her professional interests focus on e-marketing, direct marketing, buyer and organizational behavior, and marketing communications. Robin has published a number of cases and articles in leading academic journals and conference proceedings. These include studies examining Internet buying behavior, the application of lean management to marketing and sales, and clients’ media and advertising preferences.
PhD, DSc in Mathematics & Computer Science, Professor of Statistics at Dartmouth Medical School and Departments of Mathetamics and Computer Science at Dartmouth College.. He is a world-class expert on regression analysis and statistical inference; his most recent book "Mixed Models: Theory and Application" (www.dartmouth.edu/~eugened), published in 2004, is the most authoritative source in analysis of multidimensional clustered data. Eugene has published on a variety of statistical applications including optimization, econometrics, mathematical finance, medicine, image processing, etc. He is the author of three books (as a sole author) and more than 60 articles in peer review journals.
PhD in standardization and quality control, PhD in economics, DSc in operations research, Honorary Doctor of Science, Professor in Operations Research at the Department of Operations, University of Groningen (The Netherlands). His main interests are in operations research including quantitative logistics, and discrete optimization. Boris has 87 peer-reviewed articles http://www.rug.nl/staff/b.goldengorin/research and supervised more than 20 research grants and contracts with industry and scientific organizations.
PhD (Computer Science), DSc (Statistics and Systems Analysis), Professor of Computer Science, School of Computer Science And Information Systems, Birkbeck University of London (London UK). Boris is a world-renowned specialist in the areas of clustering, classification, segmentation, group choice, multi-criterion ranking and other statistics and decision-making problems. His fundamental volume Mathematical Classification and Clustering is an invaluable source in that area. His numerous projects include unstructured text analysis (including e-spam filtering); interpretation of large contingency tables in marketing; improving organization structures, and others. In total, Boris has published 8 books (being a sole author on 6 of them) and a hundred peer-reviewed articles (http://www.dcs.bbk.ac.uk/~mirkin/publications.html).
PhD in Computer Science, Professor in Computer Science Department and Assistant Director of the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) at Rutgers University, NJ. Ilya is a recognized expert in data analysis and its applications who has published about 150 articles in peer-reviewed journals. His innovative methods of pattern recognition, statistics and operational research have been widely used in many applied projects, from marketing to genetics.
PhD in Marketing, Assistant Professor, Siena College. Zina is interested in market segmentation, causal models, and modeling of choices; she has published a dozen articles on these topics and completed additional corporate projects in marketing.
Ph.D. in Statistics, Professor of Statistics in Department of Management Science and Statistics at University of Texas at San Antonio. His main interests are in statistical analysis with emphasis in Bayesian statistics. Keying has applied statistical modeling in various fields including bioinformatics, biomedical, environmental, industrial, marketing and many others. He has published more than 40 articles in peer-reviewed journals and has done many statistical consulting projects.
PhD in physics, Acting head of Group of theoretical physics and mathematics of organized systems, Institute of Biochemical Physics, Russian Academy of Science, Moscow (Russia). Dmitri’s main interests are in statistical physics, applied to physical, biological and (recently) social problems. He is a main developer of the mediaphysics concept, which represents a completely new approach to problems of the media and advertising analysis. Dmitri is also an expert in direct marketing, data mining and marketing mix modeling, where he has implemented many corporate projects; he has published over 60 articles.
PhD in Operations Research, Anatoliy’s main interests are related to optimization and its applications. He has published more than 30 papers and is a co-author of two books. He introduced a concept of “closed-loop” economic incentive mechanism, and received important results in the area of global optimization [1-3]. Anatoliy is focused on applications of the Operations Research methods in Marketing Analytics, including Marketing Mix Modeling and Media Optimization.