Hello!
I am a third year PhD student at the VIL lab, EPFL supervised by Amir Zamir and Pierre Dillenbourg. My research now is on the intersection of computer vision and machine learning. I am also interested in the theory and methods for algorithmic teaching and inverse reinforcement learning.
I am a byproduct of the Singapore education system and completed my undergrad at the National University of Singapore in the Mathematics department. I went on to do my Master in Financial Engineering at Columbia University and became a quantitve analyst working on systematic strategies for equity portfolios. I returned to school in 2015, to do a Master in Machine Learning at Cambridge University.
Yeo, T., Kamalaruban, P., Singla, A., Merchant, A., Asselborn, T., Faucon, L., Dillenbourg, P., Cevher, V, AAAI'19 (Oral)
Finding the optimal sequence of examples to train a class of linear algorithms with applications to teaching to write and to classify.
Kamalaruban P., Devidze R., Yeo T., Mittal T., Cevher V., Singla A., NIPS'18 Learning by Instruction Workshop
Finding the optimal sequence of examples to train an Inverse Reinforcement Learning agent.
PhD in Machine Learning and Computer Vision
MPhil in Machine Learning and Machine Intelligence
Thesis: Bayesian Optimization for Machine Translation and Natural Language Processing
MSc in Financial Engineering
BSc (Hons) in Quantitative Finance
Thesis: High Order Numerical Methods for Solving PDE with Optimal Stopping Times