SMS scnews item created by Ellis PATRICK at Thu 24 Oct 2019 0826
Type: Seminar
Distribution: World
Expiry: 28 Oct 2019
Calendar1: 28 Oct 2019 1300-1400
CalLoc1: CPC 3003
CalTitle1: Realising the clinical potential of multi-omics
Auth: ellisp@ (epat8919) in SMS-WASM

Statistical Bioinformatics Seminar: Associate Professor Sarah Kummerfeld -- Realising the clinical potential of multi-omics

Hi All, For our seminar next Monday, we will be hosting Associate Professor Sarah
Kummerfeld from the Garvan Institute.  The seminars are held at 1:00 pm on Mondays at
the Charles Perkins Centre, Level 3 Large meeting room.  The format of the talk is
approximately 40 minutes plus discussion.  Further information can be found on the

Monday October 28th 2019 1:00 PM 
Seminar Level 3 Large Meeting Room Charles Perkins Centre 

Title: Realising the clinical potential of multi-omics 

Abstract: Whole genome sequencing is now well established as a clinical tool.
Interpretation of genomic DNA is being used for a broad range of clinical applications
include: diagnosis of rare diseases, pharmacogenomics and understanding of complex
disease.  However, genomic DNA represents only one slice of the biology of disease.
Through two very different vignettes, I will present on our work using a broad range of
-omics technologies to understand disease and derive clinically relevant biomarkers.  

About the Speaker: Associate Professor Sarah Kummerfeld is the Scientific Head of the
Kinghorn Centre for Clinical Genomics at the Garvan Institute of Medical Research.  She
uses genomics to understand human disease and translate findings into clinical
diagnostics and treatments.  Sarah completed her PhD in Computational Biology at the
University of Cambridge, working on protein structure and function prediction.  Her
postdoctoral research at Stanford University studied the molecular basis of human
ageing.  Sarah has worked both in academia and industry, including 10 years as a
Scientist at Genentech, based in the San Francisco Bay Area.  At Genentech, she used
large-scale genomics approaches to understand why only some patients respond to
treatment and to identify diagnostic biomarkers that predict response to particular
drugs.  Sarah is dedicated to bringing applying advances in genomics research to benefit

Hope to see you there!