About Me
I am a research scientist of Facebook working on machine learning and deep learning with applications to Facebook products. I complete my Ph.D in the Department of Electrical and Computer Engineering, Computational Diagnostics Lab, and Medical Image Informatics Lab at University of California, Los Angeles in September 2020. I was advised by Prof. Corey Arnold and co-advised by Prof. Greg Pottie. My research interests lie in the real-life application of machine learning and deep learning.
Recent News
10/08/2020
We present our work “Gleason grading of biopsies using an attention-based multi-resolution model ensembled with LGBM and XGBoost” in the PANDA challenge workshop of MICCAI 2020.
09/23/2020
I have successfully defended my PhD dissertation “Improving Data Efficiency on Histopathology Image Analysis Using Deep Learning.”
05/30/2020
Our paper “Semi-supervised Learning using Adversarial Training with Good and Bad Samples” has been accepted by Machine Vision and Application. Check it out!