Jizhou Kang

My Curriculum Vitae

Ph.D. Student in Statistics

Department of Statistics, BSOE, University of California, Santa Cruz

1156 High Street, Santa Cruz, CA 95060

831-226-9092| jizhou_kang@hotmail.com | http://jkang37.github.io

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Professional Skills

Statistics Modeling

Advanced

R

Advanced

Python

Intermediate

Deep Learning

Intermediate

Technology Writing

Advanced

Communication

Advanced

Education

 
 
 
 
 

Ph.D. Candidate in Statistics

University of California, Santa Cruz

September 2019 – Present Santa Cruz, CA

Research Projects:

  • Nonparametric Bayesian Mixture Modeling for Ordinal Regression (In Progress)
  • Fast Nonparametric Bayesian Ordinal Regression for Big Data through Spike-and-Slab LASSO and Variational Inference (Planned)
  • Fully Nonparametric Bayesian Modeling for Longitudinal Ordinal Regression (Planned)
 
 
 
 
 

M.S.E. in Applied Mathematics and Statistics

Johns Hopkins University

August 2016 – January 2018 Baltimore, MD
  • Courses: Bayesian Statistics, Uncertainty Quantification, High-Dimension Approximation, Statistical Learn- ing, Stochastic Calculus, Convex Optimization, Monte Carlo and Data mining.
  • Overall GPA: 3.94 / 4.00
  • Teaching Assistant: Applied Statistics and Data Analysis, Probability and Statistics.
 
 
 
 
 

Exchange Student Program (Certificate Granted)

Georgia Institute of Technology

January 2015 – May 2015 Atlanta, GA
  • Courses: Probability and Statistics, Matrix Analysis and Algebra, Academic English.
  • Major GPA: 4.17 / 4.30 and Overall GPA: 3.78 / 4.30
 
 
 
 
 

B.S. in Honors Program of Math

Xi’an Jiaotong University

August 2012 – June 2016 Shaanxi, China

Scholarship Awarded:

  • Xi’an Jiaotong University Siyuan Scholarship for academic performance(2013,2015)
  • Everest Scholarship for distinguished research assistant, 2nd Price (2015)

Work Experience

 
 
 
 
 

Researcher and Data Analyst

Center for Complex Decision Analysis, Fudan University

May 2018 – Aug 2019 Shanghai, China

Responsibilities include:

  • Participated in the project Global Investment Environment for Machinery Industries, major work including development of panel data regression model for finding firm growth drivers and feature importance study for FDI with developing country characteristics.

  • Crawled and mined sales data from popular online shopping website and achieved the goal of recognizing consumption pattern in a Chinese dairy market research.

  • Applied advanced econometrical and statistical models to quantify the effect of Brexit on the UK’s economic and financial fields. We successfully predicted the drop of Pound sterling in late July 2019.

  • Developed a package in R for exploratory data analysis, especially business data. More information and vignettes can be found here.

Teaching Experience

I am an online course developer and instructor at UCSC:

  • Coursera - Bayesian statistics: The Capstone Project

I have served as a teaching assistant for the following course at UCSC:

  • STAT5 - Statistics (Fall 2020, Winter 2021, Summer 2021)

  • STAT7 - Statistical Methods for the Biological, Environmental, and Health Sciences (Fall 2019, Winter 2020)

  • STAT131 - Introduction to Probability Theory (Summer 2020)

Also, I had served as a teaching assistant for the following courses at JHU:

  • EN.553.613 - Applied Statistics and Data Analysis (Spring 2017)

  • EN.550.310 - Probability and Statistics for the Phyical and Information Science and Engineering (Fall 2017)