☕️ Perennially out of date CV
Interests
- Machine Learning Systems
- Machine Learning for Systems
- Bayesian Optimization
- Gaussian Processes
Education
PhD Computer Science
National University of Singapore
MSc Computer Science
Columbia University
BSc Computer Science
University of Illinois at Urbana-Champaign
📚 My Research
I’m a Postdoc at Singapore-ETH Centre. During my studies I focused on scaling up decision-making under uncertainty. In my past life, I was a Software Engineer.
I’m excited about Machine Learning Systems, Machine Learning for Systems, Bayesian Optimization, and Gaussian Processes.
Publications
(2025).
Ultra Low-Latency Traffic Engineering for Satellite Network.
Proc. MobiComm.
(2024).
Dependecy Structure Search for decision making models.
Transactions on Machine Learning Research.
(2023).
Pruning during training by network efficacy modeling.
Machine Learning.
(2017).
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons.
Proc. NeurIPS.
(2017).
Not all bytes are equal: Neural byte sieve for fuzzing.
CoRR.