Oleg Melnikov received his Ph.D. in Statistics from Rice University, advised by Dr. Katherine Ensor on the thesis topic of non-negative matrix factorization (NMF) applied to time series. He currently leads a Data Science team at ShareThis Inc. in Palo Alto, CA, and has decades of experience in various fields, including mathematical and statistical research, teaching, databases and software development, finance (portfolio management and security analysis), and adtech.
Dr. Melnikov’s academic path began with a B.S. in Computer Science (and some years in pre-med); now, he holds Master’s degrees in Computer Science (Machine Learning track) from Georgia Institute of Technology, Mathematics from UC Irvine (where he was in the Math Ph.D. program), and Statistics from Rice University, as well as an MBA from UCLA and a certificate in Quantitative Finance (MFE equivalent). Passionate about education and hard sciences, Dr. Melnikov has taught statistics, machine learning, data science, quantitative finance, and programming courses at eCornell, Stanford University, UC Berkeley, Rice University, and UC Irvine.