level-one heading

プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. Keru C.に依頼

United States

プロフィール概要

My current interest is data analysis. I have experienced using SAS for experimental design, ANOVA analysis with multiple fixed and random variables, and selected appropriate features for model. I have used SAS for 5 years so far and certified as "Base Programmer for SAS 9" by SAS institute at Dec, 2015. I also experienced using R for time series model selection, validation and prediction. Also, I have experienced using R for principle component analysis and Bayesian analysis. I have used R for over 2 years now. Recently, I experienced using Python for machine learning, including regression, classification and clustering. Statistical skills include: • Probability • Statistical Inference • Experimental Design • Linear Regression • Generalized Linear Regression • Bayesian Analysis • Multivariate Analysis • Time Series Analysis • Machine learning

専門分野

• ☆ Data Analysis
• ☆ Cluster Analysis
• ☆ Machine Learning
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Multivariate Analysis
• ☆ Bayesian Statistics
• ☆ SAS
• ☆ R

サービス

• Consulting
• Data & AI
• Product Development

職務経験

Research Assistant

Purdue University

7月 2012 - 12月 2016

学歴

Ph.D in Agronomy

Purdue University

7月 2012 - 12月 2016

Master in Applied Statistics

Purdue University

9月 2015 - 5月 2016

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Chen, K., J. J. Camberato, T. J. Vyn. 2017. Maize grain yield and kernel component relationships to morphophysiological traits in commercial hybrids separated by four decades. Crop Science 57: 1-17.

Chen, K., J. J. Camberato, M.R. Tuinstra, S.V. Kumudini, M. Tollenaar, T. J. Vyn. 2016. Genetic improvement in density and nitrogen stress tolerance traits over 38 years of commercial maize hybrid release. Field Crops Research 196: 438-451.

Chen, K., S. V. Kumudini, M. Tollenaar, T. J. Vyn. 2015. Plant biomass and nitrogen partitioning changes between silking and maturity in newer versus older maize hybrids. Field Crops Research 183: 315-328.