Hi, I’m Jimmy Hickey. I received my PhD in Statistics at North Carolina State University. My research focuses on developing new methods in transfer learning and time-to-event machine learning. You can view my resume here here or even my whole dang CV here. You can see some of my programming misadventures in the projects section and in the posts section you will mostly see my old homework solutions (let me know if you find any typos!).

Publications

  1. J Hickey, J P Williams, B J Reich, E C Hector (2026). Multivariate and Online Transfer Learning with Uncertainty Quantification. Statistics in Medicine [manuscript]

  2. J Hickey, J P Williams, E C Hector (2024). Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST). The Journal of Machine Learning Research [manuscript]

  3. J Hickey, R Henao, M Pencina, D M Wojdyla, M Engelhard (2024). Adaptive Discretization for Event PredicTion (ADEPT). AISTATS [manuscript]

  4. C Hong, M Liu, D M Wojdyla, J Hickey, M Pencina, R Henao (2024). Trans-Balance: Reducing Demographic Disparity for Prediction Models in the Presence of Class Imbalance. The Journal of Biomedical Informatics [manuscript]

  5. D Bull, …, J Hickey, … (2024). CLimate Impact: Determining Etiology thRough pAthways (CLDERA). Sandia National Lab [manuscript]

  6. K Larson-Vos, …, J Hickey, … (2023) Automatic detection of ship-induced cloud features in satellite imagery. Sandia National Lab [manuscript]

  7. L Shand, …, J Hickey, … (2021). Local limits of detection for anthropogenic aerosol-cloud interactions. Sandia National Lab [manuscript]

Hobbies

  • Hitting tennis balls into nets
  • Frantically trying to speed run the New York Times Mini Crossword
  • Spending more time automating something than it would take to complete the task
  • Making one move blunders in chess

My more politically charged opinions

  • 0 based indexing > 1 based indexing
  • Dark theme > Light theme
  • Oxford comma > No Oxford comma
  • 0.5mm pencils > 0.9mm pencils
  • $E(X)^2$ is super ambiguous. Is it $E(X^2)$ or $[E(X)]^2$?! Looking at you, Casella and Berger.