Tony Duan

I am a second-year MS student in CS at Stanford University, interested in probabilistic machine learning and applications to healthcare and policy. Previously, I completed my BS in EECS at UC Berkeley.

Contact

Preprints

Countdown Regression: Sharp and Calibrated Survival Predictions
Anand Avati, Tony Duan, Kenneth Jung, Nigam Shah, Andrew Y. Ng.
UAI Workshop on Uncertainty in Deep Learning, 2018 [Paper]

Journals

Clinical value of predicting individual treatment effects for intensive blood pressure therapy
Tony Duan, Pranav Rajpurkar, Dillon Laird, Andrew Y. Ng, Sanjay Basu.
Circulation: CQO, 2019 [Paper] [Code]

Deep learning for chest radiograph diagnosis
Pranav Rajpurkar*, Jeremy Irvin*, Robyn L. Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis P. Langlotz, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Francis G. Blankenberg, Jayne Seekins, Timothy J. Amrhein, David A. Mong, Safwan S. Halabi, Evan J. Zucker, Andrew Y. Ng, Matthew P. Lungren.
PLOS Medicine, 2018 [Paper] [Press]

Teaching

I have had the opportunities to TA the following courses:

CS 229 (Machine Learning) at Stanford: Fall 2018.
CS 221 (Artificial Intelligence) at Stanford: Fall 2017.
CS 170 (Algorithms) at UC Berkeley: Fall 2016 and Spring 2017.