David Tester

VP, Data Sciences & Machine Learning at Valo Health
Summary
David Tester is a highly accomplished professional with a strong educational background and extensive experience in data sciences, machine learning, and software engineering.
He holds a Ph.D. from the University of Oxford, a Bachelor's Degree from North Carolina State University, and a Master of Science from the University of Illinois at Urbana-Champaign.
Currently, David serves as the VP of Data Sciences & Machine Learning at Valo Health, where he contributes significantly to the company's data-driven initiatives.
Prior to his role at Valo Health, he held key positions in renowned organizations including being the Associate VP and Head of Data Science and Engineering at Sanofi, and a Senior Software Engineer at Verily (formerly Google Life Sciences) at Google, focusing on genomics.
David also worked as a Visiting Researcher at the Broad Institute and in various architectural and research roles at Novartis, Cambridge Semantics, and Verizon.
His diverse background includes experience as an Intern at the US Department of Health and Human Services, a Postdoctoral Fellow at Johns Hopkins Bloomberg School of Public Health, and a Lecturer at the University of Oxford.
With such a breadth of experience, David Tester brings a wealth of knowledge and expertise to the fields of data science, machine learning, software engineering, and bioinformatics.