Mayank Murali
Boston, Massachusetts, United States
Summary
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SeniorMayank Murali is a computational scientist with eight years of experience applying cloud-native genomic analysis and long-read sequencing methods to biological problems. Currently a Computational Associate II at the Broad Institute, he builds scalable analysis pipelines and tools driven by expertise in PacBio HiFi data, alternative splicing, and benchmarking de novo metagenome assemblers. His background blends academic research (Penn State, UVA) and full‑stack engineering, having shipped backend features for agritech software and taught systems programming and theoretical CS. Comfortable bridging research and production, he pairs hands-on coding with experimental design to turn complex sequencing datasets into actionable insight. Outside the lab he channels team play into recreational soccer and volleyball and is an avid music enthusiast, a combination that fuels his collaborative, creative approach to problem solving.
8 years of coding experience
Github Skills (19)
expander8
data-science7
pytorch7
machine-learning7
python7
systems-biology7
deep-learning6
tensorflow6
biology6
jax5
treeview5
nextflow4
anaconda4
rna-seq4
pipeline3
Programming languages (2)
Github contributions (5)
Shao-Group/metagenome-analysis
Nov 2021 - Feb 2022
Contributions:31 commits in 2 months
MayankMurali/MayankMurali
Jun 2021 - Dec 2024
Contributions:17 pushes, 1 branch in 3 years 6 months
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