Matthew Andreatta
About Matthew Andreatta
Matthew Andreatta serves as the Solutions Science Director at DNAnexus, where he specializes in machine learning modeling and data analytics. He has an extensive background in plant biotechnology and bioinformatics, with previous roles at institutions such as UC Davis and Purdue University.
Current Role at DNAnexus
Matthew Andreatta serves as the Solutions Science Director at DNAnexus, a position he has held since 2022. In this role, he focuses on leveraging his expertise in data analytics and machine learning to enhance decision-making processes within the organization. His responsibilities include developing algorithms and data visualizations that support production analytics.
Education and Expertise
Matthew Andreatta has an extensive educational background in the fields of botany, plant pathology, and biotechnology. He earned a Doctor of Philosophy (Ph.D.) in Botany and Plant Pathology from Purdue University, where he also completed a Master's degree in Horticulture and Landscape Architecture. Additionally, he holds a Bachelor of Science in Biotechnology from the University of California, Davis, specializing in Plant Biotechnology, Microbiology, and Fermentation Sciences.
Professional Background
Matthew Andreatta has held various positions in the biotechnology and bioinformatics sectors. He began his career with internships at UC Davis and Genencor, A Danisco Division. He later worked as an Associate Scientist and Bioinformaticist at Diagnovus and Aegis Sciences Corporation. His experience also includes a role as Associate Director of Bioinformatics at PathGroup, where he contributed to significant efficiency improvements through the development of R/Shiny programs.
Research and Teaching Experience
Matthew Andreatta has a solid foundation in research and education, having served as a PhD Research Assistant and Teacher’s Assistant at Purdue University. His teaching roles spanned multiple years, where he supported undergraduate education while also conducting research in plant sciences. He further expanded his research experience as a Postdoctoral Research Associate at The University of Arizona.
Technical Skills and Specializations
Matthew Andreatta specializes in identifying and analyzing trends using machine learning modeling. He has expertise in building algorithms and creating data visualizations and analytics for production, utilizing programming languages such as R and Python. His technical skills contribute to improving business application efficiencies and enhancing data-driven decision-making.