• Full stack engineer working across the tech stack to ship high value features.

• Tech stack includes MySQL, Spring, Java, React, TypeScript

Worked with Chunjong Park at UW Ubicomp Lab on machine learning fairness

• Conducted experiments in PyTorch to detect bias in deep learning systems for a variety of data sources.

• Used explainable AI methods such as GradCAM to inspect what a biased deep model is learning.

• Proposed new methods using OOD (out-of-distribution) scores to help debiasing deep learning models.

Worked with Jason Hoffman at UW MISL and Ubicomp Lab on DNA technology and virus detection

• Built a software pipeline using DNA analysis packages such as NUPACK and KINDA so that given an virus DNA/RNA sequence, the system can output multiple DNA circuit designs that can potentially be used to detect virus in a biological lab setting.

Worked with Chunjong Park at UW Ubicomp Lab on COVID 19 behavioral change causal analysis

• Preprocessed and sanitized gigabytes of behavioral data collected from people's mobile phones during COVID.

• Visualized people's behavioral change time series using Matplotlib.

• Utilized causal inference approaches such as diff-in-diff analysis, propensity score matching to find out whether government's shelter in place policy causes people to stay at home more.

• Used Double Machine Learning, Causal Tree, and SHAP values to find out heterogeneity in causal effects, that is, why some counties have more behavioral change than other counties.

• Held weekly office hours to help students on homework questions

• Regularly monitored Ed discussion board to answer students' questions about the course

• Graded homework and provided detailed feedback to students

• planned the section materials and homework questions