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.

Blog post highlighting the collaboration between the Pitt lab and NSCC. You can view the post here.

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

Madan Mohan, a CSI graduate student jointly mentored by Assistant Prof. Dennis Kappei, successfully defends his thesis on characterizing R-loop formation across the human genome. Congratulations Dr. Mohan!

The newly formed NUS Artificial Intelligence Institute (NAII) has invited Dr. Pitt to be a member. This will provide the Pitt Lab with additional networking, collaborative, and funding opportunities to support their AI methods development.

Software engineer Akila Perera provided a virtual presentation on the Pitt Lab’s Scalable Workflows for Analyzing Genomes (Swag) framework at ParslFest 2024. Researchers in attendance included globally recognized HPC and cloud scientists. Way to go, Akila!

You can view the slides from Akila's presentation here.

The lab welcomes our new research assistant Aakansha Narain! Aakansha will be developing AI methods to better understand multi-omic patterns of genome instability. Welcome Aakansha!

In joint efforts with the Venkitaraman Lab at CSI, we demonstrate that exposure to methylglyoxal, a byproduct of glycolysis, inhibits BRCA2 activity leading to transient bursts of mutagenesis in human cells.

Hannan Wong, a CSI graduate student jointly mentored by Prof. Dan Tenen, successfully defends his thesis on copy number-based genome instability in breast cancer. Congratulations Dr. Wong!