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Currently teaching
STATS 271: Applied Bayesian Statistics
(Spring)
STATS 371: Applied Bayesian Statistics
(Spring)
CS 339N: Machine Learning Methods for Neural Data Analysis
(Winter)
NBIO 220: Machine Learning Methods for Neural Data Analysis
(Winter)
STATS 220: Machine Learning Methods for Neural Data Analysis
(Winter)
STATS 320: Machine Learning Methods for Neural Data Analysis
(Winter)
APPPHYS 290: Directed Studies in Applied Physics
(Autumn, Winter, Spring, Summer)
STATS 199: Independent Study
(Autumn, Winter)
STATS 299: Independent Study
(Winter)
STATS 398: Industrial Research for Statisticians
(Autumn, Winter, Spring, Summer)
STATS 399: Research
(Autumn, Winter, Spring, Summer)
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