Hey there, I am Junting, Data Scientist/Statistician with a strong background in developing and implementing innovative statistical and machine learning methodologies. Proficient in Python, R, and Linux, with a proven track record of driving strategic analytical initiatives and enhancing decision-making through experimentation design and predictive modeling.

Latest news:

2024-07: Methodology paper published on Communications biology . I built a zero-inflated L-0 penalized regression model in Pytorch using Variational Inference that sped up the Bayesian model inference by over 200%, comparing to MCMC.

2024-05: Methodology paper published on Journal of the Royal Statistical Society . I generalized the estimation of inverse sets to dense and nondense domains with protection against inflated Type I error in exploratory data analysis.

2023-06: Earned my PhD in Biostatistics from University of California San Diego, what a ride, thanks for everything.

2022-03: My paper on flexible novel Semi-parametric zero-inflated Bayesian model for right-skewed data is published in Statistics in Medicine .

要善良,你永远不知道别人在经历什么;要勇敢,只有你知道自己想要什么。如鱼饮水,冷暖自知。

Research interests

Programming skills

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