2021 Annual Report cover

IBRI 2021 Annual Report “Accelerating Biomedical Innovation”

read the report

Travis S. Johnson, PhD

Visiting Assistant Research Professor of Biostatistics and Health Data Science

Joined the IBRI in July 2021

Travis Johnson

Travis S. Johnson, PhD, is a researcher working at the intersection of data science, medicine and human genetics. In his role at the Indiana Biosciences Research Institute (IBRI), he supports efforts across disease teams to analyze high throughput data, facilitate the use of complex computational tools and develop novel data science solutions.

Before his start at the IBRI, Johnson started a faculty position at Indiana University School of Medicine department of biostatistics and health data science. During that time, he developed an independent research focus in machine learning, high throughput sequencing analysis, single cell technologies and multi-omics.

View Johnson's published research here.

Besides his independent research, Johnson has a strong record of industry partnerships demonstrated by his bioinformatics consulting for Vascugen and Eli Lilly and Company. He believes these close partnerships with research shareholders across industry, academia and healthcare providers will drive the most important discoveries.

Since moving to Indiana, Johnson lives with his wife and two dogs in Broad Ripple where they enjoy the numerous parks and local restaurants.

Areas of Expertise

  • Bioinformatics
  • High-dimensional data
  • Machine learning


  • Doctor of Philosophy (Biomedical Sciences), The Ohio State University, 2020
  • Master of Science (Public Health), The Ohio State University, 2016
  • Bachelor of Science (Plant Biology), Ohio University, 2014

Awards & Certifications

  • Ruth L. Kirschstein Predoctoral Individual National Research Service Award (F31), 2019
  • International Society for Computational Biology travel fellowship, 2017
  • International Society for Computational Biology travel fellowship, 2016
  • National Library of Medicine, Multi-Modeling and Integrative Data Analytics Fellowship (T15), 2016

Honorary Societies

  • American Society of Human Genetics
  • Institute of Electrical and Electronics Engineers
  • International Society for Computational Biology