Teaching & Mentorship

I care deeply about teaching and mentorship, and my long-term goal is to become a teaching professor — training the next generation of scientists in computational biology, machine learning, and reproducible research. Below is my teaching and mentorship history, most recent first.

Jun 2026 – Present

Research Mentor, High School Student

Whiting School of Engineering Summer Internship Program (WISE), Johns Hopkins University

Mentor a high school student interested in biomedical engineering, computational biology, and data-driven biomedical research, introducing core concepts in Python programming, biomedical image analysis, and spatial omics.

May 2025 – Present

Research Mentor, Undergraduate Student

Biomedical Engineering Department, Johns Hopkins University

Mentor an undergraduate student in computational biology, spatial transcriptomics, histopathology image analysis, and Python-based research workflows.

Jan 2026

Course Instructor, Neural Networks from Scratch

Biomedical Engineering Department, Johns Hopkins University

Designed and taught a hands-on course on building neural networks from first principles, covering backpropagation, convolutional neural networks, Transformers, and PyTorch implementations.

Aug 2025 – Nov 2025

Course Instructor, Deep Learning for Spatial Transcriptomics

Biomedical Engineering Department, Johns Hopkins University

Designed and taught an original course on deep learning methods for spatial transcriptomics, including conceptual lectures and hands-on PyTorch tutorials on representation learning, image-based prediction, and model evaluation.

Jan 2025 – Mar 2025

Teaching Assistant, Genomic Data Visualization

Biomedical Engineering Department, Johns Hopkins University

Supported student learning through office hours, grading, and feedback on genomic data visualization techniques for high-dimensional genomic datasets.

Jan 2024 – May 2024

Teaching Assistant, Data Science for Public Health I/II

Biostatistics Department, Johns Hopkins Bloomberg School of Public Health

Facilitated student understanding of data science concepts through office hours, assignment support, and grading of computational assignments.

Jan 2023

Teaching Assistant, Computational Analysis of Heterogeneity in Cellular Images Nano Course

Harvard Medical School Curriculum Fellows Program, Harvard Medical School

Guided 20 participants through hands-on analysis of live-cell image datasets, supporting instruction on cell segmentation, edge detection, and cell tracking.

Jan 2020 – May 2021

Teaching Assistant, Regression Analysis

Statistics Department, University of Virginia

Supported instruction for 80 students in a SAS-based, project-oriented regression analysis course, including office hours, grading, and individualized feedback.

Sep 2019 – Dec 2019

Teaching Assistant, Introduction to Chemistry Lab

Chemistry Department, University of Virginia

Supervised 24 students in weekly chemistry laboratory sessions, including grading and lab safety support.