Hi, my name is Ruth Johnson, and I’m currently a second year computer science PhD student at the University of California, Los Angeles working with Sriram Sankararaman and Bogdan Pasaniuc. I am interested in the intersection of machine learning and genetics.

Previously, I worked on deep learning applications for genome sequencing technology at Illumina as a summer intern. Before that I worked as an R&D engineering intern at Sandia National Laboratories in Albuquerque, NM.

Recent News

  • [March 2019] Attended the Amazon Graduate Research Symposium in Seattle, WA
  • [Nov 2018] Gave a presentation on “A scalable Bayesian framework for estimating the proportion of causal variants for a complex trait from GWAS” at ProbGen at Cold Spring Harbor in NY
  • [Oct 2018] Presented our work, “An analysis of the genetic overlap of 20 complex traits under a non-infinitesimal model” at ASHG 2018
  • [Sept 2018] Received a training grant from the NSF-NRT MENTOR training program
  • [July 2018] Our work “A unifying framework for joint trait analysis under a non-infinitesimal model” is accepted at ISMB with simultaneous publication in Bioinformatics
  • [June 2018] Started working at Illumina as a Deep Learning Engineering Intern doing research in base calling algorithms


Publications

A unifying framework for joint trait analysis under a non-infinitesimal model

Ruth Johnson, Huwenbo Shi, Bogdan Pasaniuc, Sriram Sankararaman; ISMB 2018 (simultaneously published in Bioinformatics 2018).

Improved methods for multi-trait fine mapping of pleiotropic risk loci </span>

Gleb Kichaev, Megan Roytman, Ruth Johnson, Eleazar Eskin, Sara Lindström, Peter Kraft, Bogdan Pasaniuc; Bioinformatics 2017.

(preprints)

Preoperative predictions of in-hospital mortality using electronic medical record data

Brian Hill, Robert P Brown, Eilon Gabel, Christine Lee, Maxime Cannesson, Loes Olde Loohuis, Ruth Johnson, Brandon Jew, Uri Maoz, Aman Mahajan, Sriram Sankararaman, Ira Hofer, Eran Halperin; bioRxiv 2018.


Talks

A scalable Bayesian framework for estimating the proportion of causal variants for a complex trait from GWAS

Probabilistic Modeling In Genomics, Nov 2018. Long Island, NY, USA.

A unifying framework for joint trait analysis under a non-infinitesimal model

ISMB 2018, July 2018. Chicago, IL, USA.

CANVIS: Correlation Annotation VISualization

RECOMB-Genetics Satellite Meeting, July 2017. Los Angeles, CA, USA.


Awards & Recognitions

  • NSF-NRT MENTOR Training Grant (2018)
  • Ford Foundation Predoctoral Fellowship - Honorable Mention (2018)
  • NSF Graduate Research Fellowships Program - Honorable Mention (2017)
  • Eugene V. Cota-Robles Fellowship (2017)
  • Dean’s Prize for Excellence for Undergraduate Research (2017)
  • Undergraduate Bioinformatics Research Award (2017)
  • Chancellor’s Service Award (2017)