Professional Experience
Duke University
Ph.D. Student, Durham, NC, Aug 2021 - Current
- Developed interpretable method for estimating dynamic treatment regimes that reduced the probability of an adverse medical event by over 20 percentage points when operationalized on a real-world ICU dataset.
- Engineered new method for large scale, computationally inexpensive, and interpretable causal inference that is over 100 times faster than existing benchmarks.
Optum
Data Scientist, Eden Prairie, MN, Jun 2019 - Jul 2021
- Built and deployed a multimodal time-series model assessing the risk of every development team’s proposed application update that remains used at the company to present day.
- Detected suspicious activity as lead python programmer for fraud investigation in the payout of the U.S. Government’s COVID-19 HHS CARES Act Provider Relief Fund facilitated by Optum.
- Automated development team’s Jenkins environment by creating customizable
Jenkinsfiles
to deploy machine learning models to Kubernetes. - Summarized bank transaction and account activity logs into feature vectors using PySpark, and used Spark’s MLlib library to detect irregular account activity.
Data Scientist Intern, Eden Prairie, MN, Jun 2018 - Aug 2018
Big Data Intern, Eden Prairie, MN, Jun 2017 - Aug 2017