Nicolas Fernandez, Ph.D.

Nicolas Fernandez leads the computational team within the Spatial Technology Platform at the Broad Institute of MIT and Harvard. The team is focused on developing tools and best practices for researchers to extract biological insights from single-cell spatial multi-omics data. His research interests include tissue organization, the tumor-immune microenvironment, and developing multimodal spatial analysis/visualization approaches. Fernandez joined the Broad institute in December 2023.

Prior to joining the platform, Fernandez worked at Vizgen Inc. as a senior computational biologist where he developed novel spatial analysis methods and developed publicly available Google Colab Showcase Notebooks. Fernandez has also contributed to several open-source tools for high dimensional data analysis and visualization including Clustergrammer and Enrichr.

Fernandez earned his Ph.D in biomedical sciences from Albert Einstein College of Medicine where his work focused on modeling the mechanical and chemical regulatory network controlling the mitotic spindle function. Fernandez worked as a postdoc in the Ma’ayan Lab at the Icahn School of Medicine where he helped develop computational tools for analyzing high-dimensional bulk biological data. Fernandez worked as a computational scientist at the Human Immune Monitoring Center where he developed novel approaches to analyze and visualize single-cell high-dimensional biological data including Clustergrammer2. Most recently, Fernandez worked at Vizgen Inc. as a senior computational biologist focusing on synergizing single-cell and spatial data analysis.