It is an age of colossal data, it is an epoch of fuzzy information, it is a season of elegant mining, it is a spring of future intelligence. It is a tale of many disciplines, united, in the name of data science.
2012 Spring, STAT610 (Introduction to Statistical Inference), Teaching Assistant.
RESEARCH TOPICS:
Bayesian inference on the power of high dimensional hypothesis testing for counting processes. (Advisor: Sunduz Keles ).
State space matrix clustering for unified modeling in combinatorial pattern detection, clustering analysis and network inference for parallelled experiments. (Advisor: Sunduz Keles).
PUBLICATION:
Chandler Zuo, Kyle J Hewitt, Emery H Bresnick, Sunduz Keles (2014). A Hierarchical Framework for State Space Matrix Inference and Clustering. Under revision. R package MBASIC.
(Talk) Chandler Zuo, Sunduz Keles. A Bayesian Model for Poisson Processes for Power Prediction with ChIP-Seq Data. 2013 Joint Statistical Meetings, Montreal, #649.
(Poster) Chandler Zuo, Yazhen Wang. High Dimensional Matrix Estimation with Non-concave Penalty. NSF Workshop for High-Dimensional Data, 2012, Yale University.
(Talk) Hongwei Zhao, Chen Zuo, Heejung Bang(2010). Confidence Intervals for Median Cost Estimation with Censored Data. 2010 Joint Statistical Meetings, Vancouver, #230.
HONORS AND AWARDS:
George Box Excellent Service Award, 2013.
Distinguished National Scholarship, honored by China State Council, 2010.
PROFESSIONAL CREDENTIALS:
Associate, Society of Actuaries
SAS Certified Advanced Programmer for SAS 9 Credential.