I am currently a Postdoctoral Fellow at Department of Computer Science of Johns Hopkins University, working with Prof. Suchi Saria. I graduated with Ph.D. at University of Texas at Austin, where I was associated with IDEAL, WNCG and IFML. I was advised by Prof. Joydeep Ghosh. I’ve also worked with Profs. Paul Liang, Nhat Ho and Qiang Liu on interesting research problems. I got my Bachelor’s degree in electronics and eletrical engineering from The University of Edinburgh. I am boardly interested in developing principles and practice of trustworthy machine learning. Specifically, I have been focused on the following research topics:

• Uncertainty quantification: to better capture the epistemic uncertainty in common predictive modeling and classification problems.
• Robustness: to strengthen the model’s defense on adversarial attack, data poisoning and distribution drift, and construct certified robustness to provide safety guarantee via statistical modeling and optimization methods.
• Interpretability: to build human understandable explanations for model decisions, with particular focus on non i.i.d. data such as time series or sequential data. Besides, I’m also interested in enhancing the predictive power of deep learning models in clinical contexts.