Alexander Statnikov, Ph.D.

• Assistant Professor, Department of Medicine, Division of Clinical Pharmacology, NYU School of Medicine
• Director, Computational Causal Discovery Laboratory, Center for Health Informatics and Bioinformatics
• Benchmarking Director, Best Practices Integrative Informatics Consultation Service (BPIC)

Curriculum Vitae

Alexander Statnikov is Assistant Professor in the Department of Medicine (Division of Clinical Pharmacology) and Center for Health Informatics and Bioinformatics at New York University Langone Medical Center and Director of the Computational Causal Discovery Laboratory. He holds a Ph.D. in Biomedical Informatics from Vanderbilt University (2008), a Master’s in Biomedical Informatics from Vanderbilt University (2005), a Master’s in Applied Mathematics from Case Western University (2002), and a Bachelor’s in Mathematics from Case Western University (2001). His professional work experience includes 7 years of employment as a Senior Scientific Programmer and Bioinformatician in the Discovery Systems Laboratory at Vanderbilt University and his prior experience with the biotech start-up company Zyxbio.

Dr. Statnikov is an expert in machine learning and bioinformatics and a primary inventor and co-inventor of several prominent gene selection and biomarker discovery algorithms, including an algorithm for extraction of all molecular signatures. He is a co-inventor and a primary developer of the system GEMS for automated development of molecular signatures and biomarker discovery from microarray gene expression data. He has also made a significant contribution to the development of the system FAST-AIMS for automated analysis of mass-spectrometry data. Dr. Statnikov is also a co-inventor and a primary developer of Causal Explorer, a Matlab software library implementing state-of-the-art biomarker discovery algorithms. In addition to the above, he designed many algorithms, conducted their empirical evaluations, and made other important contributions to the fields of machine learning and pattern recognition, analysis of high-throughput biomedical data, computational causal discovery, and biomedical informatics as described in his CV. Dr. Statnikov is an author of 39 peer-reviewed publications (book, book chapters, journal papers, full-length conference papers, etc.) and a co-inventor of 4 pending patents in machine learning and biomedical informatics.

Research Interests: (1) Computational causal discovery in high-dimensional biomedical data; (2) Translational bioinformatics and development, optimization, and validation of molecular signatures; (3) Machine learning applications in biomedicine.

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