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The Pitt Lab

Genomic Data Science and Learning

Cancer Science Institute of Singapore

National University of Singapore

Our Mission

In the Pitt Lab, we seek to understand how patterns of somatic mutations arise within the DNA of cells. The ongoing accumulation of mutations – known as genome instability (GI) – represent a history of aberrant DNA damage and repair processes within malignancies. We combine large-scale sequencing datasets, artificial intelligence, and data-intensive computing to define and biologically characterize multimodal GI patterns. This enables us to decipher how mutational processes fuel cancer evolution and can be exploited therapeutically.

Please see our Research Highlights and Publications for further details.

Recent News

Dr. Pitt presents keynote at the FEBS-IUBMB-Enable conference

Dr. Pitt was grateful to share the lab’s efforts using novel generative AI models to create synthetic cancer mutational profiles.

December 5, 2024

Our Strengths

Big Data Genomics

Scalable processing of petabytes of cancer sequencing data using high-performance computing (HPC) and cloud systems.

Cancer Multiomics

Discovering biologically- and clinically-relevant patterns by integrating multiple data modalities.

Artificial Intelligence

Developing generative, discriminative, and representational learning techniques for genomics.