Office: Gould-Simpson, Rm. 724

Mailing Address
University of Arizona
Department of Computer Science
1040 E 4th St.
Tucson, AZ 85721

Jason L. Pacheco

Statistical Machine Learning and Stochastic Systems

About me. I am an Assistant Professor in the Department of Computer Science at the University of Arizona in sunny Tucson. Before joining UA I completed my PhD in Computer Science at Brown University with Erik Sudderth. I also held a postdoc position at MIT CSAIL with John Fisher III.

Research.My research in statistical machine learning aims to build intelligent systems for automated reasoning in stochastic systems. To achieve this requires the development of algorithms that yield efficient inferences, while remaining flexible enough to adapt to complex domains. My research interests span a variety of application domains including computer vision, signal processing, computational biology, and computational neuroscience. For more details see my CV.

For more information about machine learning at UA see our website.

Recent News

  • My proposed work, Robust Maximum Entropy Planning, Learning, and Control in Uncertain Environments, was selected for funding at the Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP)!
  • This Spring (2022) I am teaching CSC 535 : Probabilistic Graphical Models
  • Our paper "Bayesian Experimental Design with Variable Costs" was accepted to NeurIPs 2020
  • I am a mentor for the Women in STEM Mentorship Program
  • Our paper "Nonparametric Object and Parts Modeling with Lie Group Dynamics" has been accepted for oral presentation at CVPR 2020

Interested in working with me?

I am happy to collaborate with motivated students! If you would like to join my group, see the following items before emailing me:

© Jason Pacheco, 2019