Maria Nattestad
I focus on making complex genomic data intuitive through visualization.

I am a bioinformatics scientist specializing in visualization of the latest genomic data, from long-read sequencing to structural variants. I did my PhD with Mike Schatz at Cold Spring Harbor Laboratory. Since then, I worked at DNAnexus, Google, and OMGenomics Labs (co-founded).

Entrepreneurial Projects

Circa

Built Circa 2.0, software for making genomic circos plots, with >900 paid customers and cited >200 times.
2017, 2024

Circa screenshot
OMGenomics YouTube Channel

Teaching bioinformatics on the OMGenomics YouTube channel to 45k subscribers.
2017-present

OMGenomics YouTube Channel screenshot

Projects at Google

DeepVariant

DeepVariant uses a convolutional neural network to call genetic variants. My work on DeepVariant improved performance, contributing to multiple wins in Precision FDA Truth Challenge v2.
2019-2023

DeepVariant screenshot
DeepConsensus

Worked on DeepConsensus, which uses a transformer model for correcting DNA sequencing data. I led the v0.3 release which improved speed dramatically and enabled integration into PacBio's Revio instrument
2021-2023

DeepConsensus screenshot

PhD Projects

SK-BR-3 Project

Investigation of complex structural variants based on PacBio long-read sequencing of the cancer genome SK-BR-3.
Nattestad et al, 2018

SK-BR-3 Project screenshot
Ribbon & SplitThreader

Intuitive visualization of long-read sequencing to investigate complex structural variants.
Nattestad et al, 2021

Ribbon & SplitThreader screenshot
Assemblytics

Structural variant caller for assembly/genome alignment comparison. Cited over 350 times.
Nattestad et al, 2016

Assemblytics screenshot