Trey Saddler
Featured in the SOT Communiqué
Undergraduate Diversity Program Honoree: 2013
Current Position: Data Scientist, Toxicoinformatics Group, Predictive Toxicology Branch, Division of Translational Toxicology, NIEHS
Education:
2015: BS, Life Science (w/ focus in Environmental Health and Toxicology), Salish Kootenai College
2024 (expected): MS, Data Analytics, Western Governors University
Trey Saddler is one of the rare scientists who didn’t enjoy science growing up. He avoided science until Dr. Doug Stevens brought Trey into his Environmental Chemistry Lab at Salish Kootenai College (SKC). After researching and presenting on methylmercury levels in hair of Native American women of child-bearing age and mercury/selenium levels in lake trout, Trey would find his passion for science.
Dr. Stevens also encouraged Trey to apply for the 2013 SOT Undergraduate Diversity Program, where Trey presented a poster on mercury level in Maine seals. For a summer internship in 2013, Dr. Stevens introduced Trey to Dr. Darlene Dixon. Trey performed research on the effects of TBBPA in human endometrial cells in Dr. Dixon’s Mechanistic Toxicology lab. Trey continued working in Dr. Steven’s lab during the school year, but also finished summer internships at EPA in Region 9 working on establishing a Tribal Indoor Air Quality and Health Network, and in Region 10 on Federal and Tribal Fishery and Hatchery. Trey also enjoyed the SOT Undergraduate Diversity program so much that he returned as a peer mentor in March 2015.
After graduating from SKC in 2015, Trey returned to Dr. Dixon’s lab as a postbac. After working with her for a year, Dr. Dixon recognized that Trey’s real passion was working with computers. She had Trey talk with Dr. Mike DeVito, who recommended that Trey work with Dr. Scott Auerbach. While working with Dr. Auerbach, Trey learned and applied various data analysis tools, including R, Shiny, ggplot, and SQL. Trey wrote various tools and pipelines used internally in the Division of Translational Toxicology (DTT) (formerly the Division of the National Toxicology Program [DNTP]).
After two years with Dr. Auerbach, Dr. Auerbach introduced Trey to Dr. Charles Schmitt in the Office of Data Science (ODS) at NIEHS. Trey worked in ODS for three years as a data scientist and continued to develop his analytics skills, as well as learning linux administration, containerization, devops, how to work with the NIH BioWulf supercomputer, and other associated skills.
Under a reorganization of DTT, Trey was moved back to working with Dr. Auerbach and Dr. David Reif in the Predictive Toxicology Branch. Since the beginning of 2023, Trey, Dr. Auerbach and Dr. Reif have been developing a project called ToxPipe, which uses AI and retrieval augmented generation to help toxicologists parse and explore multi-omic data more easily. Trey applied for and received $150k from a funding proposal request to explore the use of cloud computing for NIH Intramural Research. Trey also started his M.S. in Data Analytics from Western Governors University in October 2023, and hopes to finish in time to attend grad school in fall 2024 for data science, where he would continue his work on using AI to advance toxicological and life science research.
Trey’s scientific career has allowed him to explore various domains of science, but there will always be a soft spot in his heart for toxicology and the many toxicologists who guided and advised Trey along the way. Trey especially wants to recognize Dr. Linda Birnbaum for her continuing mentorship and guidance over the years. Trey’s favorite scientific conference continues to be the SOT annual conference.