Alexander Statnikov

Areas of Expertise

  • Machine learning analysis of biomedical and other high-dimensional data.
  • Causal structure/network discovery and analysis.
  • Variable/feature selection.
  • Predictive modelling and supervised learning (classification and regression).
  • Benchmarking/evaluation of methods for analysis of high-dimensional data.
  • Multicriteria optimization.

Current Affiliation and Positions

Vice President, Digital Modeling and Machine Learning,
American Express,
New York, New York.
Adjunct Associate Professor,
Center for Health Informatics and Bioinformatics,
Department of MedicineDivision of Translational Medicine,
New York University Langone Medical Center,
New York, New York.
Associated Faculty,
Center for Data Science and Statistics,
New York University, New York, New York.


Ph.D., Biomedical Informatics (Machine Learning), Vanderbilt University, Nashville, Tennessee.

Master of Science, Biomedical Informatics (Machine Learning), Vanderbilt University, Nashville,Tennessee.

Master of Science, Applied Mathematics (Numerical Analysis), Case Western Reserve University, Cleveland, Ohio.

Bachelor of Science, Mathematics, Case Western Reserve University, Cleveland, Ohio.

Applied Mathematics, Moscow Institute of Electronics and Mathematics (Higher School of Economics, National Research University), Moscow, Russia.