Oleg Melnikov has received his PhD in Statistics from Rice University, advised by Dr. Katherine Ensor on the thesis topic of non-negative matrix factorization (NMF) applied to time series. Currently, he is leading a Data Science team at ShareThis Inc, Palo Alto, CA, and has decades of experience in mathematical and statistical research, teaching, databases and software development, finance (portfolio management and security analysis), AdTech and in other fields. His academic path started with a BS in Computer Science (and some years in pre-med). Now, he holds masters’ degrees in CS (Machine Learning track) from Georgia Institute of Technology, Mathematics from UC-Irvine (where he was in Math PhD program), Statistics from Rice University, MBA from UCLA, and Quantitative Finance (MFE equivalent). Oleg is passionate about education and hard sciences. He has been teaching statistics, machine learning, data science, quantitative finance, and programming courses at eCornell, Stanford University, UC Berkeley, Rice University, and UC-Irvine.
Education History
- PhD Statistics, Rice University
Work Experience
Technical Director, ShareThis Inc.
Publications
https://scholar.google.com/citations?user=1IJ_kvQAAAAJ&hl=en&oi=sra
Honors and Awards
- See CV. (2017)
Professional Organizations
American Statistical Association (ASA)