Gordon Saksena, M.Eng.
Gordon Saksena is a senior software engineer in the Broad Technology Labs group, where he is helping to scale up new sequencing technologies. He joined this group in 2017, but for the preceding 8 years, he was part of the Getz and Meyerson labs within the Cancer Program of the Broad Institute of MIT and Harvard.
Saksena was attracted to biology by its thriving research community, and by its emerging need for quantitative approaches. He brought his computer science and statistics skills to the Broad Institute in 2009, learned the language of biologists, and began collaborating closely with researchers developing statistical algorithms and visualizations to characterize the DNA changes that cause, maintain, or escalate cancer.
Having previously performed research and applied statistics in commercial settings, Saksena now works closely with computational biologists to understand their issues and help them tackle their research goals. For instance, when scaling up algorithms to run on larger data sets, improving their reliability and cost, he helps design tradeoffs that span computer efficiency, statistical accuracy, and biological relevance. Saksena enjoys figuring out tough problems, often borrowing and adapting from solutions developed for different contexts.
Prior to joining the Broad Institute, Saksena worked as a senior software developer for The MathWorks developing data visualization utilities for the MATLAB statistics toolbox, preceded by 13 years at Teradyne as a senior design engineer developing calibration algorithms for instrumentation that tests computer chips.
Saksena holds a M.Eng. and B.S. in electrical engineering from Cornell University.
Contact Gordon Saksena via email at firstname.lastname@example.org.