Lovemore Tenha
LAS CRUCES,NM
Summary
Personable and analytical, bringing strong foundational knowledge in bioinformatics and computational biology. Skilled in programming languages such as Python and R, combined with expertise in data analysis and genomic data interpretation. Committed to leveraging these skills to contribute to cutting-edge research and impactful projects.
Overview
7
7
years of professional experience
12
12
years of post-secondary education
Work History
Research Assistant
New Mexico State University
Las Cruces, New Mexico
08.2018 - Current
- Develops efficient statistical and computational methods to solve biological research questions through analyzing bulk/ single-cell transcriptome data
- Develops open source software packages to implement statistical and computational methodologies that can be applied on biological data
- Publishes research findings to peer review journals and conferences
Teaching Assistant
New Mexico State University
Las Cruces, New Mexico
01.2018 - Current
- Teaching assistant to core undergraduate computer science courses: Compilers, Data Structures and Algorithms, Software Engineering
- Supervises lab sessions which focus on project based assignments
- Assists course Instructor in grading class assignments
Bioinformatics Intern
Iovance Biotherapeutics
Tampa, FL
06.2023 - 08.2023
- Worked on melanoma cancer cell type deconvolution project, an important aspect of cancer research
- Implemented a deep learning model pipeline that uses single cell RNA-Seq data to deconvolute cell types/states in melanoma tumor micro-environment
- Model achieved high accuracy when tested on bulk RNA samples with known cell type proportions.
Education
Ph.D. - Computer Science
New Mexico State University
Las Cruces, NM 08.2017 - 05.2025
Bachelor of Science - Computer Science
Morehouse College
Atlanta, GA 08.2012 - 05.2016
Skills
Single cell / bulk RNA transcriptome data analysis
Bioinformatics pipeline design and implementation
R
C
Python
Machine Learning
SQL
Software development
Git
High performance computing
Deep learning
Accomplishments
- Tenha L, Song M (2022) Inference of trajectory presence by tree dimension and subset specificity by subtree cover. PLoS Comput Biol 18(2): e1009829. https://doi.org/10.1371/journal.pcbi.1009829
- Tenha, L., Song, M. Statistical evidence for the presence of trajectory in single-cell data. BMC Bioinformatics 23 (Suppl 8), 340 (2022). https://doi.org/10.1186/s12859-022-04875-9
- Statistical evidence for the presence of trajectory in single-cell data International Symposium on Bioinformatics Research and Applications (ISBRA2020)
- Developed an R package to test presence of trajectory in RNA transcriptome data : https://CRAN.Rproject.org/package=TreeDimensionTest
Timeline
Bioinformatics Intern
Iovance Biotherapeutics
06.2023 - 08.2023
Research Assistant
New Mexico State University
08.2018 - Current
Teaching Assistant
New Mexico State University
01.2018 - Current
Ph.D. - Computer Science
New Mexico State University
08.2017 - 05.2025
Bachelor of Science - Computer Science
Morehouse College
08.2012 - 05.2016
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