Introducing: Summer 2022 Statistics Undergraduate Research Interns

 

 

 

 

Clemente Antuna 

  • Majors/Minor: Mathematics – Statistics/ Economics
  • Research Mentor: Marco Avella Medina, Ph.D.
  • Project Title: Statistical differential privacy, optimization, and robustness

We will study how to expand his research on differential privacy to situations in which the number of variables is larger than the number of observations, mainly using Newton’s method to prove optimization results.

Guosheng Cai

  • Majors: Mathematics – Statistics 
  • Research Mentor: Wayne T. Lee, Ph.D.
  • Project Title: Metrics for comparing Diversity, Equity, and Inclusion (DEI) across universities

I want to apply the data science knowledge I gained from the classroom to address real-world issues.

Tianxiao He

  • Major: Computer Science
  • Research Mentor: Liam Paninski, Ph.D.
  • Project Title : Decoding animal behaviors from neural signals

Specifically, with promising results on decoding spike sorted data, this summer I’m moving to clusterless decoding, which takes unsorted raw channel data from neuralpixel probes and maps it to continuous behavioral features or behavioral latent using some parameterizations such as neural networks.

Holden Li

  • Majors: Mathematics-Statistics
  • Research Mentor: Marco Avella Ph.D.
  • Project: Statistical differential privacy, optimization, and robustness

This is my first research opportunity in college. I wish to learn how to do academic research with a professor from this experience and test my potential as a scholar. 

Leon Lu

  • Majors: Applied Mathematics – Statistics
  • Research Mentor: Anne van Delft, Ph.D.

I hope to investigate how and where quantile processes can be used in the quantification and evaluation of risk.

Judy (Di) Wu 

  • Majors: Mathematics-Statistics
  • Research Mentor: Marco Avella Medina, Ph.D.
  • Project Title: Statistical differential privacy, optimization, and robustness

I hope to learn more about knowledge of robustness, optimization, and differential privacy from my mentor and extend the boundary of my knowledge. I also hope to contribute to the realization of the optimization algorithm using sketched Newton’s method.

Heyuan Yao

  • Majors: Mathematics – Statistics 
  • Research Mentor: Víctor de la Peña, Ph.D.
  • Project Title: Estimation of time to event with applications to global warming and epidemiology

Erica Zhang

  • Majors/Minor: Mathematics-Statistics / Philosophy
  • Research Mentor: Johannes Wiesel, Ph.D.
  • Project Title: Non-parametric analysis of financial time series using the adapted Wasserstein distance