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• Ph D in Statistics, National Tsing Hua University (2017)

• A Nonlinear Correlation Measure with Applications to Gene Expression PLoS One (2022), Yogesh Mani Tripathi, Suneel Chatla, Yuan-Chin I.Chang, Li-Shan Huang, Grace S. Shieh.
• Nonparametric Inference for additive model estiamted via simplified smooth backfitting Annals of Institute of Statistical Mathematics (2022), Suneel Chatla.
• A Tree-based Semi-Varying Coefficient Model for the COM-Poisson Distribution, Journal of Computational and Graphical Statistics, 29 (4), (2020), Suneel Chatla, Galit Shmueli.

• Estimation of optimal treatment regime in high dimensional single index quantile regression (2023), Suneel Chatla.
• Estimation of optimal treatment regime in high dimensional single index quantile regression (2023), Volume Phoenix, Suneel Chatla.
• Flexible models for extreme value distributions (2023), Volume Colorado School of Mines, Suneel Chatla.
• Inverse regression for spatially distributed functional data (2023), Volume Department of Mathematical Sciences, Suneel Chatla.
• A new kernel regression approach for L2 boosting (2022), Volume El Paso, Suneel Chatla.
• Nonparametric inference for additive models estimated via simplified smooth backfitting (2021), Suneel Chatla.

• Developing Evidence-Based Learning Environment for Success in STEM (DEBLES): Increasing the Retention of Minorities and Women
• Tree-based Bayesian methods for optimal treatment regimes