Gavin Lynch, Ph.D.
About Gavin Lynch, Ph.D.
Gavin Lynch, Ph.D., is a Data Platform Engineer Team Lead at Catchpoint Systems Inc, where he has worked since 2016. He has a background in statistics and computer science, holding a Ph.D. from the New Jersey Institute of Technology and has previously held positions at Merck, Bristol-Myers Squibb, and Schering-Plough Research Institute.
Work at Catchpoint Systems Inc
Gavin Lynch serves as the Data Platform Engineer Team Lead at Catchpoint Systems Inc. He has held this position since 2016, contributing to the company's data platform initiatives for over eight years. His role involves leading engineering efforts to enhance data capabilities and optimize performance within the organization, located in the Greater New York City Area.
Previous Experience in the Pharmaceutical Industry
Before joining Catchpoint, Gavin Lynch worked in various roles within the pharmaceutical industry. He was a Lead Developer at Merck from 2006 to 2009, where he contributed to software development projects in Rahway, NJ. He also served as a Statistician at Bristol-Myers Squibb for eight months in 2014, working in Lawrenceville, NJ. Additionally, he worked as a Developer at Schering-Plough Research Institute for one year from 2005 to 2006 in Kenilworth, NJ.
Education and Expertise in Statistics
Gavin Lynch holds a Doctor of Philosophy (PhD) in Statistics from the New Jersey Institute of Technology, which he completed from 2010 to 2013. He also earned a Master of Science (M.S.) in Statistics from the same institution, studying from 2007 to 2009. His educational background is complemented by a Bachelor of Science (B.S.) in Computer Science from Penn State University, where he studied from 2000 to 2004.
Academic Background at New Jersey Institute of Technology
At the New Jersey Institute of Technology, Gavin Lynch pursued advanced studies in Statistics. He completed both his M.S. and PhD degrees there, gaining extensive knowledge and expertise in statistical methodologies and applications. His academic tenure spanned from 2007 to 2014, during which he developed a strong foundation in data analysis and statistical modeling.