I'm a Data Scientist at Evidation Health, a company whose mission is to measure health in everyday life. I analyze continuous streams of activity data (like steps taken throughout the day, heart rate, or sleep quality) to monitor and predict the progression of chronic diseases.
Before joining Evidation, I earned a PhD in Dynamical Neuroscience from the University of California, Santa Barbara. My research focused on how people form beliefs in real-world situations where evidence is conflicting, dynamic, and often ambiguous (such as when jurors decide whether or not a defendant is guilty or when citizens vote on a ballot measure). I used fMRI to identify which brain regions contribute to different aspects of real-world reasoning, and I used HD-tDCS to temporarily alter participants' brain activity and observe how their reasoning changed.
- JUL 2018: Began working full-time as a Data Scientist at Evidation Health.
- JUN 2018: Successfully defended and graduated with a PhD in Dynamical Neuroscience.
- FEB 2018: Joined Evidation Health as a part-time Data Scientist.
- JUL 2017: Mentored an undergraduate intern as part of the Academic Research Consortium.
- MAR 2017: Presented at the Dynamical Neuroscience Seminar.
- AUG 2016: Designed and taught an undergraduate course in Cognitive Psychology.
- OCT 2015: Passed qualifying exams and advanced to candidacy.
- JUN 2015: Shapeways featured my 3D-printed brain tutorial on their blog.
- JUN 2015: Presented research at a Master Class session at the Nobel Laureate Meeting.
- FEB 2015: Selected to attend the Lindau Nobel Laureate Meeting in Germany.
- OCT 2014: Review of hemispheric asymmetry in reasoning published.
- JUL 2014: Mentored two high school student interns as part of the Research Mentorship Program.
- APR 2014: Received an NSF Graduate Research Fellowship.