Services and Activities

Reviews

I am actively reviewing for:

• IEEE Transactions in Medical Imaging

• ISBI

• MICCAI

Teaching Assistant

EC523: Deep Learning

• 2025 Spring Semester, Boston University

EK381: Probability, Statistics, and Data Science for Engineers

• 2024 Fall Semester, Boston University

Biostatistics

• 2021 Summer Semester, East China Normal University

• Lecturer: Prof. Jin Xu (ECNU), Prof. Menggang Yu (UW Madison)

• Duty: computer lab instruction [download lecture notes (in Chinese) I wrote]; recitation; grading; holding office hours

Reading Club

I served as a graduate student mentor for the Directed Reading Program in Spring 2022.

Book: Machine Learning: A probabilistic Prospective by Kevin Patrick Murphy

Handouts:

• Supervised and unsupervised learning, Basic concepts in ML, Fundamentals in probability [pdf]

• Entropy, KL divergence, Maximum Likelihood Estimation [pdf]

• MLE for Linear Regression, MLE for Logistic Regression [pdf]

• Mixture Normal, EM algorithm, EM for Mixture Normal [pdf]

Research Mentoring

• I mentored a high school student for the Research in Science & Engineering (RISE) Program at BU in 2025.

• I served as a graduate student instructor for the Experimental Mathematics Lab in Spring 2022. The project that I supervised is Vectors with smallest slopes. Here is the poster. Brief intro can be found here.