Roozbeh Dehghannasiri
Instructor at Stanford University School of Medicine
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolRoozbeh Dehghannasiri is an instructor and computational biologist with 8 years of experience developing statistical and machine learning methods for scRNA-seq, cancer genomics, and large-scale NGS datasets. Based at Stanford Medicine, he builds scalable pipelines (R, Python, Bash, Nextflow) and has created a reference-free statistical framework that unifies detection of genetic and transcriptomic variation from raw reads. He has deep experience with bulk, single-cell, long-read and spatial RNA-seq and a strong track record using and contributing resources built from large public cohorts like TCGA, CCLE and the Human Cell Atlas. Trained as an electrical engineer (PhD), he blends signal-processing rigor with biological insight to design robust experimental and analytical approaches for small-sample and high-dimensional problems. Colleagues rely on him for clear scientific communication, reproducible tools, and translationally minded method development.
8 years of coding experience
5 years of employment as a software developer
Master’s Degree, Electrical Engineeering, Master’s Degree, Electrical Engineeering at McMaster UniversityDoctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at Texas A&M UniversityBachelor’s Degree, Electrical Engineering, Bachelor’s Degree, Electrical Engineering at University of Tehran
Persian, English
Github Skills (5)
z-score6
computational-biology4
information-theory3
bioinformatics3
nextflow3
Programming languages (3)
Github contributions (5)
salzmanlab/Equivalent-Junctions
Feb 2018 - Jul 2018
Contributions:71 commits in 4 months
roozbehdn/Equivalent-Junctions
Feb 2018 - Jul 2018
Contributions:59 pushes, 1 branch in 4 months
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