Neva Durand
Senior Staff Scientist at Broad Institute of MIT and Harvard
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolNeva Durand is a Senior Staff Scientist and computational biologist with 14+ years building machine learning and visualization tools that make complex genomic and multiomic data interpretable and actionable. At the Broad Institute she leads efforts to apply large-scale deep learning to predict DNA methylation and chromatin accessibility, and helps integrate single-cell and spatial assays for the dGTEx consortium. Her background includes key contributions to 3D genomics—creating the Juicer pipeline and Juicebox visualizer still widely used today—and hands-on work improving core genomic viewers like IGV. Neva bridges academic rigor and technology transfer, having translated research into a live-cell AI imaging platform at CellEmax and published widely across genomics and ML. She combines a deep software-engineering pedigree from computer vision postdocs and NIH/MIT roles with a knack for building scalable, user-focused tools that accelerate biological discovery.
14 years of coding experience
8 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at University of WashingtonB.S., Computer Science, Mathematics, B.S., Computer Science, Mathematics at Tufts University
English, French
Github Skills (7)
javas10
genomics10
java10
data-visualisation9
bioinformatics9
data-visualization9
data-visualizations9
Programming languages (10)
Github contributions (5)
igvteam/igv
Feb 2012 - Nov 2012
Integrative Genomics Viewer. Fast, efficient, scalable visualization tool for genomics data and annotations
Role in this project:
Back-end Developer
Back-end DeveloperContributions:133 commits, 1 comment in 8 months
Contributions summary:Neva primarily worked on debugging and modifying Java code related to the Integrative Genomics Viewer (IGV) for genomic data visualization. Their commits focused on fixing discrepancies between Python and Java code, changing filenames, and implementing new features like adding combo box action listeners for OE options related to the display of genomic data, indicating a focus on core functionality and data presentation within the application. Furthermore, the user addressed a bug and made improvements to the data's functionality.
scalableannotationsgenomics-datagenomicsbioinformatics
aidenlab/juicer
Jul 2016 - Sep 2021
A One-Click System for Analyzing Loop-Resolution Hi-C Experiments
Contributions:2 releases, 3 reviews, 262 commits in 5 years 2 months
analyzingone-clickpipeline-framework3d-genomeresolution
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