Information for New and Prospective Students

• Robust machine learning, including uncertainty quantification, anomaly detection, open category detection, calibration in classification and rejection, and risk-sensitive RL.
• Computational sustainability, including the TAHMO weather network project as well as ecosystem management problems such as invasive species and wildfire management.
• Robust human-AI teams

I prefer to have all of my students jointly supervised with other faculty members, as this provides for more robust and diverse advising. I currently am jointly supervising students with Alan Fern, John Selker (BEE), and Debashis Mondal (Statistics). I am also recruiting students to work jointly with me and Rebecca Hutchinson, Fuxin Li, or Stefan Lee. Hence, if you would like to work with me, contact me via email or alternatively contact one of these other faculty members and suggest a joint advising arrangement.

To work with me, you should have the following background:

• Strong preparation in mathematics: Linear Algebra, Numerical Linear Algebra, Vector Calculus.
• Strong preparation in probability and statistics: Probability Theory, Probabilistic Graphical Models (Bayesian networks), Introductory Statistics.
• Strong programming background and experience in Python (pytorch or tensor flow is a plus), R, C++, JAVA, Lisp, MATLAB, or Mathematica as well as knowledge of advanced data structures. Experience with git.
• Experience with optimization algorithms: Linear and quadratic programming, convex optimization, gradient descent search and the conjugate-gradient method, Newton's method, etc.
• Other useful background includes image processing, computer graphics, computational geometry, geographic information systems, database systems.

Prospective students interested in a research assistantship should email me a letter that describes their background, experience, and research goals. Please also include a list of the courses you have taken (and grades received) and a resume. Attach copies of any papers that you have published in English.