Researcher

Dr Robert Weatheritt

Keywords

Biography

Associate Professor Robert Weatheritt is an ARC Future Fellow, an EMBL Australia Group Leader at BABS in UNSW Sydney and a Lab Head at the Garvan Institute. Dr. Weatheritt received his PhD from EMBL Heidelberg and then proceeded to undertaken a Postdoctoral fellow at the University of Cambridge and the University of Toronto. Dr. Weatheritt opened his lab in 2018 focusing on combining data data approaches with CRISPR screening approaches and...view more

Associate Professor Robert Weatheritt is an ARC Future Fellow, an EMBL Australia Group Leader at BABS in UNSW Sydney and a Lab Head at the Garvan Institute. Dr. Weatheritt received his PhD from EMBL Heidelberg and then proceeded to undertaken a Postdoctoral fellow at the University of Cambridge and the University of Toronto. Dr. Weatheritt opened his lab in 2018 focusing on combining data data approaches with CRISPR screening approaches and transcriptomics to understand the role of RNA in driving cellular phenotypes. Dr. Weatheritt has published over 40 peer-reviewed articles in high-impact journals including multiple papers in Nature, Cell and Science.

My Grants

NSW Health RNA Future Leaders Program (2022-2025)
- Title: Developing in vivo CRISPR RNA engineering to prevent disease
Australian Research Council Future Fellowship (2022-2026)
- Title: Dissecting cell cycle regulation using programmable gene editing technology
NSW Cancer Council Grant (2021-2024)
- Title: What makes triple-negative breast cancer tumours more likely to spread beyond the breast?
NSW Cancer Institute Fellowship (2021-2024)
- P-bodies: a novel mechanism driving triple negative breast cancer?
ARC Discovery Project Grant (2020-2023) with Irinia Voineagu (UNSW Sydney)
- Title: Investigating the biogenesis and function of circular RNAs in the brain

My Qualifications

PhD

My Research Activities

Alternative splicing, Intrinsically disordered regions, Post-transcriptional regulation, Neuroscience, Autism-spectrum disorder, RNA, Proteomics, Structural Bioinformatics, RNA-Seq