Leonard Goldstein

Deputy Head, Data Science Platform at Garvan Institute of Medical Research

Leonard Goldstein's work experience includes roles at four different companies. Leonard started their career as a Graduate Student at the Cancer Research UK Cambridge Institute in January 2007 and worked there until September 2009. Leonard then joined the University of Cambridge as a Postdoctoral Associate in October 2009 and remained in that role until February 2012. From April 2012 to November 2016, Leonard worked as a Postdoctoral Fellow at Genentech. Leonard then transitioned to the role of Scientist in Molecular Biology at Genentech from December 2016 to April 2019. From April 2019 to October 2020, Leonard worked as a Scientist in Oncology Bioinformatics at Genentech. Most recently, Leonard joined the Garvan Institute of Medical Research in November 2020 as the Head of Computational Biology.

Leonard Goldstein completed their education at various prestigious institutions. Leonard obtained their Bachelor of Arts (BA) in Mathematics from the University of Cambridge from 2001 to 2004. During their undergraduate years, they also had the opportunity to participate in a Cambridge-MIT Institute Undergraduate Exchange program at the Massachusetts Institute of Technology in 2002-2003, although the specific field of study during this exchange is unknown.

Continuing their educational journey at the University of Cambridge, Leonard pursued a Master of Philosophy (MPhil) in Computational Biology from 2004 to 2005. Finally, they completed their highest level of education as a Doctor of Philosophy (PhD) in Applied Mathematics at the University of Cambridge from 2005 to 2010.

Based on the information provided, Leonard Goldstein's educational path highlights their specialization in mathematics, computational biology, and applied mathematics while attending the University of Cambridge and briefly engaging in an exchange program at MIT.

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Timeline

  • Deputy Head, Data Science Platform

    November 1, 2023 - present

  • Head Computational Biology

    November, 2020