Dr. Pitt was invited to speak at the 2026 AWS Summit.

Andy presented his work on "Modeling Genomic Instability Through Representational Learning of Cancer Mutational Profiles" at an event co-hosted by Bioinformatics Institute (BII) and Amazon Web Services (AWS).

Dr. Pitt was an invited speaker for the educational session, "New Insights from TCGA: Whole-Genome Sequencing Data Released," at the 2026 AACR Annual Meeting.

In a comprehensive analysis of over 2,700 breast cancer genomes , we establish an analytical framework that utilizes copy number signatures to decode mechanisms of genome instability. We demonstrate that these distinct signatures can uncover underlying biological processes—such as differentiating BRCA1 from BRCA2 deficiency and linking extrachromosomal DNA to chromothripsis—while revealing that patients with copy number 'quiet' genomes and low macrophage infiltration exhibit remarkably better survival outcomes.

Dr. Pitt was invited to speak at the joint symposium between CSI Singapore and National Cancer Center (NCC) Japan.

Aakansha presented a poster at the NCIS Annual Research Meeting (NCAM) on her work, which focuses on integrating multiple types of mutation profiles to predict biologically and clinically relevant outcomes.

The lab welcomes our new PhD student Meng Zi Wei! Zi Wei will be studying how histopathology images can help AI-driven mutlti-modal models better predict HRD. Welcome Zi Wei!

Dr. Pitt was invited to speak at the 51st Annual Meeting of Korea Cancer Association on the panel topic of "Advanced Cancer Genomics".

Andy and Hannan presented on their respective work during the American Association for Cancer Research (AACR) conference in Chicago, Illinois, USA. You can read more about it Andy's and Hannan's work here.

Aakansha presented a poster at the Thirteenth International Conference on Learning Representations (ICLR), on her work which focuses on integrating multiple data types from seqeuncing data into a single, biologically relevant embedding to reveal latent interdependencies. Her work was also accepted as a TinyPaper which can be viewed here for more details.