Meeta Mistry
Founder And Principal Consultant at Akhandata Bioinformatics
Raleigh, North Carolina, United States
Summary
🤩
Rockstar🎓
Top SchoolMeeta Mistry is a bioinformatics founder and principal consultant with over a decade of hands-on experience designing reproducible, scalable workflows for high-throughput sequencing and training scientists to use them effectively. Her career spans senior scientific and core leadership roles at Harvard Chan, where she built strategic core services, mentored analysts, and developed widely used training curricula for NGS and single-cell RNA-seq analysis. She pairs a PhD in bioinformatics with deep practical experience in project consulting, experimental design, and pipeline development across academic and government labs, including NIMH and UBC. An active contributor to community training resources (notably updating single-cell RNA-seq exercises and answer keys in prominent workshops), she emphasizes accessibility, strong data management, and capacity building as core pillars of her practice. Based in Raleigh, NC, Meeta combines entrepreneurial drive with academic rigor to help teams turn complex genomic data into reproducible, actionable results.
12 years of coding experience
13 years of employment as a software developer
BSc, Honours Computational and Physical Specialized Biochemistry, BSc, Honours Computational and Physical Specialized Biochemistry at McMaster UniversityPhD, Bioinformatics, PhD, Bioinformatics at The University of British Columbia
Github Skills (4)
r10
data-analysis10
bioinformatics9
clustering8
Programming languages (11)
Github contributions (5)
hbctraining/Intro-to-scRNAseq
Jul 2020 - Jan 2023
Role in this project:
Data Scientist
Data ScientistContributions:7 reviews, 185 commits, 27 PRs in 2 years 7 months
Contributions summary:Meeta's contributions primarily involve updating and answering questions related to single-cell RNA sequencing analysis exercises. They modified exercise files and answer keys, incorporating new questions and refining existing ones. The code changes involve QC steps, exploring sources of variation (mitochondrial fraction), and clustering analysis with different resolutions.
mistrm82/bcbio-nextgen
Dec 2018 - Dec 2023
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Contributions:9 pushes in 5 years 1 month
scalablecallingvariant-callinggenomicsbioinformatics
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