Siong Thye Goh
I graduated from ORC (Operations Research Center) of MIT. I have been working under the supervision of Professor Cynthia Rudin from Duke University. My research interests include developing new interpretable machine learning algorithms and statistical method, and studying statistical learning theory under the causal inference framework. I am also interested in applying submodular structure to improve the efficiency of advertisement. I work at the Prediction Analysis Lab at MIT where you can find many other talented individuals who are also interested in applying accurate and yet interpretable machine learning techniques to social good applications, e.g. criminology and medical data.
I love Mathematics and coding. My Erdos number is 4.