Detravious Jamari Brinkley | Research

Detravious Jamari Brinkley 

Academic Profile

Graduate Student: Ph.D. in Computer Science
Advisor: Christan Grant
Lab: UF Data Studio

Institutional Affiliation

Institution: University of Florida (UF)
College: UF's Herbert Wertheim College of Engineering
Department: Computer & Information Science & Engineering (CISE)
Chair: Dr. Juan Gilbert

Contact Info

Office: Malachowsky (MALA) Hall 6200
Email: dj.brinkley@ufl.edu

Let's chat

About my research

I am advised by Christan Grant, PhD on the following: How do we decide which voices to trust, since human projections—finances (e.g., stock picks), sports (e.g., who will win a game or championship), politics (e.g., who to vote for), and even weather (e.g., what to wear)—shape our everyday decisions? My research uses natural language processing (NLP) to identify and analyze these projections, then evaluates their veracity by gathering real-world observations to compare against, and estimates the reliability of their sources (experts, family, friends, online communities, social media, and organizations) from their historical track records. I’m currently focused on text, with plans to incorporate audio and visual modalities in my dissertation.


Previously I spent time in the Knowledge Capture And Discover group where I was blessed to be advised by Yolanda Gil, PhD while having Emmanuel Dorley, PhD as a direct mentor.

Research interests

My research interest lie at the intersection of NLP--human projections--and time series (TS)--models predictions--for real-time systems.

  • NLP: multimodal (text, audio, visual) human projections

  • NLP: data aquisition and information retrieval (IR)

  • TS: mix-frequencies forecasting

  • TS: interpolation of missing values

  • TS: changepoint detection

  • TS: 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

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