London R. Steele
Graduate Researcher, Teaching Assistant
London R. Steele is a first-year Master of Science student in environmental science. Her research falls within the fields of immunology, pathology, pharmacology, and toxicology.
Her primary interest is the development of novel pharmaceuticals, pharmaceutical delivery systems, or alternative therapies for cancerous, chronic, or rare disease.
Gut immunohistochemistry and immunotoxicology are the current focus of her graduate research. She anticipates her thesis work to involve stressing and dosing intestinal cell tri-cultures in order to contribute to the toxicological literature.
London is a proficient data technician and is currently developing a breadth of wet-lab aseptic techniques as she transitions into an in vitro research-centric role.
London graduated from Baylor University in May 2019 with a Bachelor of Science in Informatics, majoring in Bioinformatics. She was involved in Human-Computer Interaction research, SEA-PHAGES in situ genomic research, and ultimately toxicological characterization research during her undergraduate career. She served as an undergraduate researcher with The Sayes Group throughout her senior year and seamlessly transitioned into her role as a graduate researcher.
Lone Star Regional Chapter of the Society of Toxicology. 2018 Annual Fall Meeting. “Using Bioinformatics and Computational Tools to Interpret Nanoparticle-Protein Interactions”. (Poster). Austin, Texas (September 2018).
Undergraduate Research and Scholarly Achievement (URSA) Scholars Week 2016. "Phage Hunters: Isolating and purifying Arthrobacter sp. Bacteriophages". (Poster). Waco, Texas (April 2016).
Undergraduate Research and Scholarly Achievement (URSA) Scholars Week 2016. "Analysis and Characterization of Arthrobacteriophage Genomes: Annotation of AQ and AN Arthrobacteriophages". (Poster). Waco, Texas (April 2016).
Stewart M, Mulenos MR, Steele LR, Sayes CM*. (2018). “Differences Among Unique Nanoparticle Protein Corona Constructs:A Case Study Using Data Analytics and Multi-Variant Visualization to Describe Physicochemical Characteristics”. Applied Sciences 8:2669-2684.