Translational computational oncology · Single-cell genomics

Using machine learning and single-cell technologies to decode and subvert cancer’s shape-shifting abilities.

Our lab studies lineage plasticity and histologic transformation, through which cancer cells change identity under therapeutic and environmental pressure.

Research Team

Latest paper

ZFP36L2 orchestrates stress-adaptive plasticity in regeneration and cancer.

Nature. 2026 Sept 1.

All publications

From the lab

8/2026Asher Shin presents poster at OSET High School Program Poster session

7/2026Congratulations to Sam for winning the Blood Cancer United (formerly Leukemia & Lymphoma Society) Fellow Award

7/2026Sam Taylor speaks at Heme/Onc Fellows WIP

All news

WE ARE HIRING!

The laboratory has funding for multiple positions, including graduate students, postdocs, and bioinformatics engineers. Experience in programming is strongly preferred.

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