Shiwei Lan

Ph.D. of Statistics

CMS

WELCOME

I am a postdoc researcher at the Department of Computing + Mathematical Sciences, California Institute of Technology.

My research focuses on scalable statistical inference, Bayesian nonparametric modeling and uncertainty quantification.

HIGHLIGHTS. 

— research, activities, and other news …

11/08

2017

12/11-12/15

2017

04/16-04/19

2018

new paper    Flexible Bayesian Dynamic Modeling of Covariance and Correlation Matrices.  

arXiv:1711.02869.          [demo]

Trends and Advances in Monte Carlo Sampling Algorithms Workshop.    SAMSI,  Duke, NC

talk: About Infinite-Dimensional Geometric MCMC.

mini-symposium "Dimension reduction for Bayesian inference".   SIAM UQ18,  Garden Grove, CA

talk: Adaptive Dimension Reduction to Accelerate Infinite-Dimensional Geometric MCMC.

ABOUT ME. 

I am a postdoc researcher at the Department of Computing + Mathematical Sciences, California Institute of Technology.

I am working on Bayesian nonparametric modeling and Bayesian uncertainty quantification of complicated systems. 

 

I obtained my PhD at Department of Statistics, University of California, Irvine in 2014. My PhD research is about Advanced Bayesian Computational Methods through Geometric Techniques.

ME.

WHAT I THOUGHT I LOOK LIKE.

WHAT I ACTUALLY LOOK LIKE.

ABOUT MY RESEARCH …

CONTACT

Office:      ANB 338, CMS, CalTech

Phone:     (626)395-1768

E-mail:     slan at caltech.edu

 

Address: California Institute of Technology

                     1200 E. California Blvd., MC 305-16

                     Pasadena, CA 91125

NAME

MESSAGE

@2017    Shiwei  Lan