Christopher Dye

Computational Biologist

Talent

HuntsvilleMember since September 23, 2026

PythonBashCommand-lineHPC environmentsBash scriptingREGEXGitHub version controlBioinformatics workflowsDifferential gene expression analysisComputational analysisRNAi mediated pest controlPCR amplificationRNA isolationmRNA isolation

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PythonBashCommand-lineHPC environmentsBash scripting

Experience

Learning Assistant at Auburn University (2025-08 – Present)

Facilitated learning in active learning and project focused courses during class and office hours.

Functional Genomics | 30 students Spring 2026 - Supported upper-level coursework through leading literature discussions, tool documentation walkthroughs, and bioinformatics workflows such as differential gene expression analysis.
Intro to Computational Biology | 50 Students Fall 2025 - Taught practical computational skills by introducing students to command-line and HPC environments, Bash scripting, programming fundamentals, REGEX, GitHub version control, and R-based data analysis.

Undergraduate Research Lab Assistant - Dr. Stevison Lab at Auburn University (2025-03 – 2025-12)

Performed computational analysis of recombination rates in the diamond-backed terrapin genome.
Wrote custom scripts in Python, Bash, and R to generate data and perform analysis.
Dye C.A., Havard L.G., Stevison L.S. "Correlations Between Recombination Rate and CpG Islands in the Mississippi Diamond-backed Terrapin (Malaclemys terrapin pileata)." Poster Presentation. Collaborative Approaches among Scientists and Engineers REU 2025 Symposium. Auburn, AL. July 2025.

Undergraduate Research Lab Assistant - Dr. Flores Lab at Auburn University (2024-01 – 2024-12)

Assisted with a project to develop a form of RNAi mediated pest control.
Aided in project planning, data collection, and mRNA isolation for PCR amplification.

Veterinary Lab Intern at Aviagen North America (2022-06 – 2022-08)

Prepared bacteria growth plates, preformed plate streaking, and made medias to test samples.
Completed an experiment testing new RNA isolation protocols to increase testing efficiency and reduce risk of sample contamination.