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David Konerding

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David Konerding

David Konerding, Ph.D. (dek@konerding.com) is a Senior Lead Engineer at Insitro. Previously, he was Staff Software Engineer at Google, Senior Architect for Research Computing at Genentech, Computer Scientist in the Distributed Systems Department at the Lawrence Berkeley Laboratory. a postdoctoral scholar for Steven Brenner and Kimmen Sjolander at UC Berkeley, a programmer for the Computer Graphics Lab and a graduate student in the Doctoral Program of the Graduate Group in Biophysics at the University of California, San Francisco.

His current scientific interests include:

  • Applications of Data Engineering Principles to High Throughput Machine Learning Drug Discovery
  • Here are my scientific publications

Past interests, which are not being actively pursued:

  • Research into Computational Grid Technologies, promoting the use of Grid Technologies in computational biology and chemistry
  • Functional characterization of anti-cancer nucleosides such as gemcitabine, cytarabine, and 5-fluoro-uracil
  • Use of NMR and molecular dynamics simulations to understand the energetics of protein/nucleic acid interactions
  • Structural and Functional Genomics
    • Rapid, accurate functional classification of structural genomics targets
    • Evaluation of sequence comparison techniques, including pairwise, profile, and iterative profile methods
    • Development of optimized target selection strategies
    • Recognition of ancient, conserved protein functionality between prokaryotic, archae, and eukaryotic genomes
  • Development of the Chimera Collaboratory
  • I have a BA in Biochemistry and Molecular Biology from the University of California, Santa Cruz
  • Here's my undergraduate thesis, Prediction of Gene-encoding Regions in E.Coli DNA

Dave has some non-scientific interests as well...