Statistical Journey

Super interesting courses I have taken at UC Berkeley:

Fall 2023:

STAT 204 Probability in Application Instructor: Professor Steve Evans (Probability course for people who do not want to be a probabilist.)

STAT 210A Theoretical Statistics Instructor: Professor Will Fithian (Well-known 210 series. A lot of homework but good grading.)

EECS 227AT Optimization Models in Engineering Instructor: Professor Gireeja Ranade & Venkatachalam Anantharam A+ (I like optimization.)

Spring 2024:

STAT 210B Theoretical Statistics Instructor: Professor Nikita Zhivotovskiy A+ (I like Nikita’s teaching style, making me fall in High-dim.)

STAT C245A Introduction to Modern Biostatistical Theory and Practice Instructor: Professor Mark van der Laan & Alan Hubbard A+ (Mark is super smart and I am interested in semi-parametric theory, efficiency theory, and empirical process.)

PBHLTH W252A Introduction to Causal Inference for Public Health Professionals Instructor: Professor Laura Balzer A+ (Basic Causal Inference)

Fall 2024:

PBHLTH 243A Targeted Learning Instructor: Professor Mark van der Laan (TMLE could do anything except RDD.)

STAT C245B Biostatistical Methods: Survival Analysis and Causality Instructor: Professor Mark van der Laan (I always mix this course with Targeted Learning.)

STAT 260 Topics in Probability and Statistics Instructor: Professor Nikita Zhivotovskiy (Everyone should learn Mini-max theory and RKHS once.)

Super helpful reading groups or Seminars I have attended at UC Berkeley:

Fall 2023:

STAT 298 Neyman Seminar hosted by Professor Ryan Giordano

Fall 2024:

Variational Inference Reading Group hosted by Professor Ryan Giordano & Alexander Strang

Optimal Transport and Targeted Maximum Likelihood Estimation hosted by CTML center

PBHLTH 293 Biostatistics Doctoral Seminar hosted by Professor Lexin Li