Tin Nguyen

Tin Nguyen is a PhD Student at MIT. He is advised by Tamara Broderick. His research develops computational methods for inference and sensitivity detection in Bayesian inference.

Skills

R

3 years experience

Python

4 years experience

SQL

1 year experience

Experience

 
 
 
 
 
Research Intern
IBM Research
June 2019 – August 2019 Cambridge, MA
Reduced runtime of approximate cross-validation for structured models including hidden Markov models and conditional random fields.
 
 
 
 
 
Research Intern
IBM Research
June 2022 – August 2022 Cambridge, MA
Developed specification tests to reject the null hypothesis that neural networks trained on clean image data are well-specified for corrupted image data.

Awards

Student Poster Award
Outstanding Reviewer Award
Student Travel Award