Scholar Profile
Serge Sverdlov
Quantitative and Statistical Analysis
Biography
Serge is a Principal Data Scientist, Azure Global, Microsoft Corporation after having served as a Principal Consultant at Redmond Analytics, LLC. He previously worked as Senior Quantitative Manager at Microsoft. Serge completed his Ph.D. in Statistical Genetics at the University of Washington in 2014. His research is on whole genome quantitative trait prediction, the use of full DNA sequences rather than single genes to model e.g. disease risks and drug responses. His commercial pursuits in financial risk management and application of quantitative techniques to software are being channeled through Redmond Analytics.
High school: Edmund Burke School
Degrees
| College | Year | Degree |
|---|---|---|
California Institute of TechnologyPasadena, CA |
2001 | B.S. Economics |
California Institute of TechnologyPasadena, CA |
2001 | B.S. Engineering & Applied Science |
University of WashingtonSeattle, WA |
2011 | M.S. Statistics |
University of WashingtonSeattle, WA |
2014 | Ph.D. Statistical Genetics |
News and Highlights
Scholar patent alert: Serge Sverdlov, MS ‘97, is part of a group that was issued a patent in March for their work with Microsoft in designing interface infrastructure for creating and interacting with web services. Congratulations!