Dr. Sen Na

Assistant Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Sen Na. Improve your application with a focused, well-structured draft.

Biography

Sen Na is an Assistant Professor in the School of Industrial and Systems Engineering at the University of California, Berkeley. He specializes in high-dimensional estimation and inference, focusing on probabilistic graphical models and semiparametric models. His research interests also include stochastic optimization, uncertainty quantification, and scientific machine learning. He completed his Ph.D. in Statistics from the University of Chicago in 2021 and earned his B.S. in Mathematics from Nanjing University in 2016. His postdoctoral work was in Statistics at the University of California, Berkeley, where he honed his expertise in advanced modeling techniques and applications. Sen Na has published several influential papers in esteemed journals, contributing significantly to the fields of machine learning and optimization.

Research Interests

High-Dimensional Estimation and Inference Probabilistic Graphical Models Semiparametric Models Stochastic Optimization Uncertainty Quantification Scientific Machine Learning

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.