I am a PhD candidate in the Computer Science department at Stanford University. My interests include a wide variety of topics at the intersection of computer science, biology, and medicine, such as rare genetic variation, the heritability of complex traits, and regulatory genomics.
In 2016, I received a B.S. in Computer Science, with honors, from Stanford University. Before my work in genomics, I worked as a production assistant at Four Directions Productions. I also worked as a software engineer for the Python Software Foundation, Yahoo! Research - Latin America, and Facebook.
In the Curtis Lab, I studied a subtype of breast cancer using next-generation sequencing technologies. This included a wide variety of methods, such as whole-genome sequencing, copy number assays, and RNA-seq.
In the Bejerano Lab, I worked on tools which help research scientists and clinical geneticists diagnose patients with rare genetic diseases. Oftentimes, doctors cannot properly diagnose a child with rare genetic defects. Therefore, the doctor will sequence the protein-coding portion of the child's DNA to see if the patient harbors any known disease-causing mutations. If the child does not carry a known disease-causing mutation, the clinician must examine a list of 300 to 500 variants which might be causing the disease. During my time in the Bejerano Lab, I worked on tools which help to reduce this list of uncertain variants.