About

I am a 5th year PhD student at the Department of Biostatistics, Yale University. My research concentration is designing and developing statistical and machine learning tools for analysis of genomic datasets. I am interested in learning more about state-of-the-art Learning methods, and applying them to solve real world problems.

这是曾立的个人主页。
2013年起我到康州New Haven村就读 Yale 生物统计 PhD，主要研究方向是分析基因数据的统计学习和机器学习方法。对Statistical Learning的理论，实现及应用有浓厚兴趣。
热爱运动，在篮球，羽毛球，网球都展现出天赋。喜欢观看足球，但尝试不多。唯一坚持下来的运动是排球，以防守见长，在 Yale 打球曾引得对手惊呼 “He is everywhere!”

Education:

• Yale University (2013 - 2018)
  Ph.D of Biostatistics
• Peking University (2009 - 2013)
  Bachelor of Mathematics

Softwares:

• PKB2, 2018:
  A general kernel-boosting framework. Use clinical features and gene expression from typical cancer genomic study datasets to predict outcomes of interest. Support classification, regression, and survival analysis.

• SIFA (tumor Subclone Identification by Feature Allocation), 2017:
  a Bayesian hierarchical model to identify tumor subclones and infer phylogenetic tree from WGS data

• PKB (Pathway-based Kernel Boosting), 2017:
  a boosting framework using gene expression and pathway information for classification