Junting Ren
Hey there, I am Junting, a statistics PhD with 4+ years of experience in deep learning, statistical modeling, and causal inference. My dissertation focuses on quantifying uncertainty for model prediction and fast feature selection method using Bayesian variational inference for large scale data.
Latest news:
2022-10-08: My latest paper on quantifying model uncertainty
using confidence sets is on
archive .
2022-3-10: 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
- Prediction Uncertainty Quantification
- Variational Inference for Large Scale Bayesian Models
- Deep Learning and Causal Inference
Programming skills
- PyTorch, Jax, Pyro, Numpyro
- JavaScript, C++
- R, SQL, MATLAB, SAS
More about me
Check out what I like:
More
Connect with me on Linkedin:
Junting
Ren
Shoot me an email:
tim.rainbig@gmail.com