Aravind Subramanian Email & Phone Number

New York , Ny, Us

Boston, Ma, Us

- Oversee and lead Digital and Data efforts at Dewpoint- Develop and implement a computational strategy to drive understanding of human disease biology through the lens of biomolecular condensates, **where biology meets physics** - Develop and apply ML/AI algorithms to identify and validate targets, interpret condensate phenotypes, derive biomarkers, and predict small molecule structure-activity relationships- Develop internal and external alliances that facilitate shared opportunity space across biology and data science; collaborate with external AI/ML groups to leverage high-throughput profiling for drugging condensates- Partner with Biological Discovery and Translational Medicine teams to integrate and understand a wide variety of high-dimensionality genomic and condensate-relevant data sets

Cambridge, Ma, Us

Research at the Broad Institute focused on technologies for generating large-scale perturbational datasets and their computational analysis- As a graduate student, helped develop Gene Set Enrichment Analysis (GSEA)- As a post-doc, helped develop algorithms for analysis and interpretation of pooled RNAi screens- As a group leader, worked with computationalists and laboratory scientist to invent the L1000 assay and applied it to high-throughput mRNA profiling for the Connectivity Map (CMap)- As a co-PI, helped develop the NIH Library of Network Based Cellular Signatures (LINCS)- As a Director, led several *collaborative* profiling partnerships at the Broad including the Cancer Dependency Map, Phosphoproteomics and Cell Painting- With Broad colleagues, proposed, secured funding, and instantiated the Drug Repurposing Hub- With the Harvard Business School pioneered the use of crowdsourced challenges to improve AI/ML techniques for the analysis of high-dimensionality biological datasets

Co-inventor of the L1000 assay at the Broad (Patent: US-10619195-B2)Co-founder of spin-off start-up from the Broad with commercial offering of the L1000 assay for high-throughput gene expression profiling

Us

Helped with analysis of datasets from small-molecule microarrays (SMMs)

Cambridge, Massachusetts, Us

Part of the large and awesome team that sequenced, assembled and (mostly) finished the Human Genome

Education record

Education record

Education record

Education record