I am a second-year Master's student at USC's Viterbi School of Engineering. My area of study is Computer Science. I am actively seeking advisors for my Fall 2024 Ph.D. program applications. My research interests include traditional time series analysis, modeling, and forecasting, along with more modern techniques in supervised machine learning. Previously I spent time in the Knowledge Capture And Discover group where I was blessed to be advised by Yolanda Gil while having Emmanuel Johnson as a direct mentor.
Research interests
My research interest is at the intersection of theoretical and applied time series, with a focus on
long-term forecasting
mix-frequencies forecasting
cold-start problem
interpolation of missing values
changepoint detection
anomaly detection
explainable and interpretable models
See below for some of my papers (a full list can be found at Google Scholar).
Publications and Presentations
[ACM IUI 2023, Publication]
Reproducibility as a Stepping Stone to Intelligent Assistants for Data Analysis: Recreating a Study of Physical Activity, Sleep, and Work Shift in Nurses. Brinkley D, Johnson E, Feng T, Gil Y
[USC ISI 2022, Publication]
Reproducibility as a Stepping Stone to Intelligent Assistants for Data Analysis: An Analysis of Physical Activity, Sleep, and Work Shift in Nurses. Brinkley D, Johnson E, Feng T, Gil Y