Single Cell Analytics Innovation Lab (SAIL)
The Single Cell Analytics Innovation Laboratory (SAIL) is a leading platform for cutting-edge molecular profiling and data analysis, serving the broader Memorial Sloan Kettering community. Dana Pe’er, Chair of the Computational and Systems Biology Program in the Sloan Kettering Institute, is the Director of SAIL and Chair of the Oversight Committee. Dr. Pe’er pioneered a number of foundational analytical concepts and algorithms in the single-cell field. Under Dr. Pe’er’s leadership, Ronan Chaligné has been appointed as the Head of SAIL and leader of the wet technologies unit and Roshan Sharma has been appointed as the leader of the computational unit. Dr. Chaligné is an expert in single-cell technologies and their application to biological questions and has developed methods to profile multiple data types from the same cell.
Embedded within the Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center (GMTEC), SAIL serves more than 80 laboratories at MSK, spanning basic and translational research. It offers researchers the ability to profile an exceptional range of tissue sources at cellular resolution, from animal and cell-based model systems to diverse tumor types, biopsied by various means from the clinic. These approaches are providing unparalleled insight into cancer-related questions around immunity, tumor plasticity and metastasis, regeneration, wound healing, and immunotherapy. Our mission is to assimilate emerging technologies in the rapidly advancing fields of single-cell sequencing and imaging-based profiling, in addition to providing robust analytical solutions. SAIL hosts a dedicated computational team that benchmarks new tools and generates pipelines to support an expanding set of technologies and data modalities.
- PhD, University of Paris – XI / Institute Gustave Roussy, France (Oncology)
- BS, Évry Val d’Essonne University, France (Cellular Biology and Physiology)
- AB, Princeton University (Math)
- Computational Biologist
- MS, Massachusetts Institute of Technology (Computer Science)
- MS, Massachusetts Institute of Technology (Design Computation)
- BArch, Cornell University
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