Silas Maniatis is the Associate Director of Spatial Genomics at the New York Genome Center, where he leads the development of technologies for spatially resolved studies. With a Ph. D. from Harvard, his work focuses on understanding neurodegenerative diseases like ALS by creating detailed gene expression maps to uncover molecular mechanisms.
Outside of the lab, Silas identifies as a "Father and Scientist" and lives in Brooklyn. He is a supportive leader, expressing great pride in the work of the interns and junior scientists he mentors within the Innovation Lab at the New York Genome Center.
Unique fact: Before his current role, he was a founding employee at the biotech company Acceleron Pharma, helping to establish its research platform.
Silas Maniatis
Associate Director, Spatial Genomics at New York Genome Center
New York, New York, United States
Overview
Topics They Care About
Spatial Genomics
He leads the development and application of spatially resolved methods to study diseases, with numerous publications on the topic, including a key paper in Science.
Neurodegenerative Disease
His research is heavily focused on understanding the molecular pathology of ALS, using spatial transcriptomics to map disease progression in spinal cord tissue.
Technology Innovation
He has a background in developing novel tools and platforms, including repurposing Illumina sequencers and creating open-source software for complex imaging applications.
Media Appearances
Silas has no verified media appearances
Work History
7-2024
Associate Director, Spatial Genomics at New York Genome Center
1-2022 - 7-2024
Associate Director, Technology Innovation at New York Genome Center
1-2022
Lead Scientist, Spatial Genomics & Engineering at New York Genome Center
Education
Ph.D. from Harvard Kenneth C. Griffin Graduate School of Arts and Sciences
Bachelor of Arts - BA from New York University
More Information
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Location : New York, New York, United States
Job Level : Mid-senior
Designation : Associate Director, Spatial Genomics at New York Genome Center
