Pete Haverty

About Pete Haverty

Highly motivated leader, scientist, and engineer with over 20 years of expertise in Bioinformatics.Leader of TeamsI thrive on personal relationships with colleagues, especially my reports. My most treasured experiences leading teams are mentoring junior staff through their skill and career progressions. I have led successful, high-output teams, high-morale teams in bioinformatics and traditional software engineering settings, sometimes concurrently, in multiple companies.Builder of ToolsI love the creative process of computational biology. My scientific work is always in parallel with building high-quality tools others use to replicate and build upon my work. I often “replace myself with a button” so bench colleagues independently use my analytical processes while I work on my next idea. Some of this work is available publicly, including open source software in R and Julia, and improvements to the base R language.Lover of ScienceI maintain a passion for learning new biology, from creative molecular biology techniques to exotic enzymes to the ever-increasing regulatory complexity of the cell. When wearing my engineer hat, I always keep my science eyes open to understand how unexpected aspects of my data may affect my results. I am an author on over 50 publications, many in first tier journals.

Experience

1. Director, Software Engineering

   Ginkgo Bioworks

   Oct 2022 — Present

   Lead two team of bioinformaticians, data scientists and software engineers to- grow and curate (what we believe to be) the world\'s largest database of metagenomic sequences- provide organism engineers efficient means to query any aspect of this data- provide a scientific computing environment that enables rapid development of new bioinformatic solutions with a minimum mental investment in infrastructure details- catalog all company DNA and protein assets for genome engineering- provide search for related components and suggestions for asset re-use- provide linkage between assets and their experimental validation including strain performance data

Education

• University of California, Davis

  B.S. Biology, Emphasis on Molecular Genetics and Microbial Physiology, Minor in Psychology

  1993 — 1997

• Boston University

  Ph.D., Bioinformatics, Computational Biology

  1999 — 2004