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Jacob Porter
PeerJ Author
35 Points

Contributions by role

Preprint Author 35

Contributions by subject area

Bioinformatics
Data Science

Jacob Porter

PeerJ Author

Summary

I am broadly interested in machine learning and data analysis and its applications in bioinformatics. I have done research with the read mapping of short bisulfite-treated DNA reads, organism prediction with Keras neural networks, and computational phylogeny. I enjoy learning new things about biology, and I enjoy new data science challenges. I have a PhD in computer science from Virginia Tech and a Masters in Applied Mathematics from UC Davis. I am currently a Postdoc at the University of Virginia.

Bioinformatics Computational Biology Data Science

Past or current institution affiliations

Virginia Tech

Work details

Postdoctoral Research Associate

University of Virginia
October 2018
Biocomplexity Institute and Initiative
I apply machine learning and neural networks to problems in organism prediction and gene function prediction.

PhD Student

Virginia Polytechnic Institute and State University (Virginia Tech)
August 2012 - May 2018
Computer Science
As a PhD student in computer science, I worked on developing a read alignment program for bisulfite-treated short DNA reads. The program is called BisPin.

Websites

  • GitHub
  • Jacob Porter's web page

PeerJ Contributions

  • Preprints 1
December 13, 2018 - Version: 1
Using machine learning to predict DNA read alignment quality
Jacob Porter
https://doi.org/10.7287/peerj.preprints.27428v1