I am a developmental geneticist at the University of Melbourne where I combine classic developmental biology techniques with computation to study gene expression and regulation during embryogenesis.

My PhD research focused on how the anatomy of the male and female urethra become different as we we grow and showed the genetic mechanism controlling the process. This discovery is fundamental to the way we think about hypospadias, one of the most common birth defects in humans!

I am currently obsessed with machine learning and artificial intelligence and believe that the tools associated with these fields are key to solving the most important problems facing humanity. I’m taking the mind blowing Udacity course: Foundations of Deep Learning, and my blog focuses on this, topics related to Machine Learning, Data Science, Genetics, and programming.

For my resumes and project repositories on GitHub, follow the links below:

GitHub          Resume

 More About Me

I completed my MS in Genetics, Genomics, and Bioinformatics at the University of Connecticut where I studied and applied computational biology techniques to understand the impact of genomic mutations on mouse development.

My interests beyond computational biology include writing music, following trends in renewable energy, electric vehicles, and space travel, and spending as much time as I can with my partner Ana and our little Cavy, Toby.