Kendell Clement
Assistant Professor at University of Utah, Department of Biomedical Informatics
Salt Lake City, Utah, United States
Summary
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Rockstar🎓
Top SchoolKendell Clement is a postdoctoral research fellow and instructor at Harvard Medical School and Massachusetts General Hospital with nine years of experience at the intersection of single-cell technologies, genome editing, and cancer biology. Based in Salt Lake City and affiliated with the University of Utah’s Department of Biomedical Informatics, he applies computational and experimental approaches to dissect oncogenesis at single-cell resolution. His background spans a PhD-era training in the Harvard-MIT HST program, postdoctoral appointments across Harvard and MGH, and a Fulbright year in Berlin, reflecting a global and interdisciplinary perspective. Kendell is equally comfortable designing genome-editing experiments and analyzing high-dimensional single-cell datasets, bringing both bench-savvy and bioinformatics rigor to translational cancer research.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Biomedical/Medical Engineering, Doctor of Philosophy (PhD), Biomedical/Medical Engineering at Massachusetts Institute of TechnologyBS, Computer Science, Bioinformatics, BS, Computer Science, Bioinformatics at Brigham Young University
Github Skills (24)
package-management10
conda10
sequencing10
bioinformatics10
bioconda10
docker8
rna-seq8
python8
pypi8
population-genetics5
data-visualization5
genome5
chip-seq4
pipeline4
metagenomics3
Programming languages (6)
Github contributions (5)
pinellolab/AmpUMI
Jan 2018 - Apr 2020
Toolkit for the design and analysis of amplicon sequencing experiments utilizing unique molecular identifiers (UMIs)
Contributions:1 review, 26 commits, 1 PR in 2 years 3 months
sequencing
pinellolab/CRISPResso2
May 2018 - Jan 2023
Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments
Contributions:56 releases, 31 reviews, 335 commits in 4 years 9 months
sequencinggenome-editingquantificationamplicon-sequences
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