Training Group:

Biomolecular Structure and Biophysics

Mentor / Lab:

Fang Huang

Specific Research Area / Project:

Current single-particle tracking (SPT) methods localize and link particle positions across frames, characterizing underlying motion behavior through statistical analyses such as mean square displacement. However, localization imprecision, structured backgrounds, motion blur, and linkage errors are significant challenges that prevent the accurate extraction of the underlying biomolecule’s motion behavior. My research is focused on developing an accurate, end-to-end deep learning approach to address these issues. Our method bypasses the conventional localization process by utilizing features directly extracted from raw camera frames, estimating motion behavior with minimal information loss. Additionally, I am working on applying two-color single-molecule localization microscopy to study the nanoscale molecular organization of two types of Myosin II within the contractile ring during cytokinesis.

About Me:

In my free time, I enjoy engaging in e-Sport with my friends such as Dota2. Recently, I've also taken up bass fishing, exploring hidden natural beauty around the Lafayette area. (I've discovered a few secret spots that are perfect for a quiet day of fishing. Feel free to reach out if you are interested!)