Bio
I completed a PhD in Neuroscience, focusing on the genetics and psychopharmacology of decision-making, impulsivity, and addiction. After my first postdoc, I had the opportunity to switch to industry where I could apply my skills to interpreting genetics through a direct-to-consumer model. I’m on the Health Product R&D team at 23andMe, where I use machine learning techniques and genomic statistics to turn research participant data into new reports and product features for customers. Being, in part, a medical device, this work is in close collaboration with regulatory, legal, and medical teams. Examples of my work in the 23andMe product are the Coronary Artery Disease, LDL Cholesterol, Atrial Fibrillation, Wake-Up Time, Motion Sickness, and Mosquito Bite Frequency polygenic reports. Most recently, I have been collaborating with the Machine Learning Engineering and Data Collections teams to help build and scale-up largely automated analytic pipelines to power future product features.
