Prior to joining StatML CDT, I used to work in Microsoft New England Research Centre for two years as an AI Applied Scientist after graduating from Stanford with master degree in computational and mathematical engineering. I am very keen on scoping complicated business demands into statistical and machine learning problems and applying cutting-edge ML algorithms to solve them. Having been interested in Causal Inference, Bayesian Statistics, Stochastic Process and Representation Learning, I am passionate about making ML solutions more responsible, transferable and explainable.

• Causal Inference
• Machine Learning
• Explainable AI