Detravious Jamari Brinkley | Research

Detravious Jamari Brinkley 

Graduate Student, MS CS
Thomas Lord Department of Computer Science
University of Southern California (USC)

Office: BridgeHall Blackstone and USC Incubator
Email: dbrinkle at usc dot edu

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About me

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

  • [bioRxiv 2019, Publication] Synthetic Genetic Codes Designed to Hinder Evolution.
    Calles J, Justice I, Brinkley D, Garcia A, Endy D