Bioinformatics Engineer at Plasmidsaurus Computational Biologist AI/ML Engineer Bioinformatics Pipeline Development Cloud & Workflow Systems
More About Me
I am a Bioinformatics Engineer and Computational Biologist with 7+ years of experience building scalable analysis pipelines and software for genomics data. I currently work at Plasmidsaurus, where I develop and productionize bioinformatics workflows for bacterial genomics, RNA-seq, Illumina metagenomics, and small variant calling.
I completed my PhD and postdoctoral research at the University of California, Irvine in the Mortazavi Lab, where I worked on bulk and single-cell RNA-seq, Multiome, Perturb-seq, DNA methylation, and gene program analysis across projects such as Model-AD, ENCODE, and IGVF.
My work combines bioinformatics, software engineering, cloud-native workflow systems, and AI-enabled tooling to turn complex sequencing analysis into robust and reproducible products.
Out of work, I enjoy spending time with our kittens, camping, hiking, and cooking Persian dishes.
For more informations download my CV.
2019-2024
In Mathematical, Computational System Biology program (MCSB)
Gpa: 3.98/4
2014-2018
In Information Technology, Computer Engineering
Gpa: 17.07/20
Own end-to-end development and productionization of bioinformatics pipelines, serving as a lead for bacterial workflows and RNA-seq product support. Build scalable workflow systems with Nextflow and Snakemake across AWS Batch and HPC, Lead launch of small variant calling services and driveing development of Illumina shotgun metagenomics, and develop backend and frontend platform features for customer-facing genomic results.
Optimized bioinformatic algorithms and workflows for short- and long-read RNA-seq, single-cell assays, Multiome, Perturb-seq, and DNA methylation data, and contributed to large collaborative genomics efforts including Model-AD, ENCODE, and IGVF.
Analyzed genomics datasets to characterize disease models and regulatory programs, and developed software for weighted gene co-expression analysis, unsupervised gene program discovery, and transcriptomics workflow support.
2016 - 2018
Designed statistical models to predict cardiovascular disease risk from clinical cohort data.
Bay Area, California, USA
(949) 426-8112