Advised by: Prof. Eric P. Xing
Research Interest: Trustworthy Machine Learning Methods by Countering Spurious Correlation, with Applications in vision, NLP, and computational biology. I have been working mainly with the following topics
● Trustworthy ML Methods Development in Cross-domain/Adversarial Settings
● Deconfounding Genetic Association Methods for Psychiatric Disorders
[Publications] [CV] [Contact]
"Every progress the Computational Biology community makes can potentially free millions of people from suffering."
This is what drives me to work every day on computational biology. However, soon I realized that many recent methods, especially neural networks, need to be more robust to be more helpful. Thus I strated to work on trustworthy machine learning topics.