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.
Department of Statistics
University of Wisconsin-Madison
1300 University Ave.
Madison, 53706 ,WI
1130 Medical Sciences Center
PhD in Statistics, in progress. University of Wisconsin-Madison. Advisor:
M.S. in Computer Sciences, in progress. University of Wisconsin-Madison.
M.A. in Statistics, 2011, University of Wisconsin-Madison.
(Acturial Science), B.A. in
2013 Summer, PhD Qualification Exam Camp.
2012 Autumn, PhD Qualification Exam Camp.
2012 Spring, STAT610 (Introduction to Statistical Inference)
Bayesian inference on the power of high dimensional hypothesis testing for counting processes. (Advisor:
Signal matrices decomposition for unified modeling in combinatorial pattern detection, clustering analysis and network inference for parallelled big data. (Advisor:
Optimal searching in first order induction learners for relational databases.( Advisor:
, Sunduz Keles (2013).
A Statistical Framework for Power Calculations in ChIP-seq Experiments
. Bioinformatics, to appear. R package
, Shuai Chen, Heejung Bang (2012).
Nonparametric inference for median costs with censored data
. Biometrics, 68 (3), pp 717-725.
, Sunduz Keles.
A Bayesian Model for Poisson Processes for Power Prediction with ChIP-Seq Data
. 2013 Joint Statistical Meetings, Montreal, #649.
, Yazhen Wang.
High Dimensional Matrix Estimation with Non-concave Penalty
. NSF Workshop for High-Dimensional Data, 2012, Yale University.
(Talk) Hongwei Zhao,
, 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.
Probability Reading Group
: A Vivid Illustration of Statistical Topics
:My Favorite Column Writer.