Eva Chan, Human Comparative and Prostate Cancer Genomics Lab, Garvan Institute of Medical Research
On the bioinformatics scale (if there is one), I sit at the statistical genetics/genomics end.
I’ve recently returned to Sydney from sunny California where I led the statistical genetics team at the Vegetable Seeds Division at Monsanto. My Post-Doc trainings were at the Kliebenstein lab at UC Davis & in Toni Reverter‘s Biostatistics group at CSIRO (Brisbane, Australia). I’m currently establishing a Bioinformatics and Biostatistics team within the Human Comparative and Prostate Cancer Genomics lab at the Garvan Institute of Medical Research.
My research, in terms of the biology and organism, has been quite varied over the years. However, there is always two underlying themes: “genetic variation” and “big data analysis”. In essence, I enjoy developing and applying statistical and bioinformatics approaches to -omics data with the aim to better elucidate the link between genetics/genomics and phenotype.
Find me (or my R scripts) @ evachan.org.
Bioinformatics,
Statistics,
genomics,
population genetics |
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