I am an undergraduate student at the University of Southern California, double majoring in Computer Science and Math. My research interests lie in artificial intelligence, distributed systems, and mathematical optimization.
I also like skiing (a lot).
The all-new motorcycle haircut
Together with Prof. Chunming Wang, we submitted a workshop paper presenting our work on second-order optimization for distributed deep learning to ICLR17. Update: It was accepted! [Link]
Randopt is a python package to streamline the search for good hyper-parameters. It provides a programmatic interface to serialize, choose, and visualize hyper-parameters and results. [GitHub Repo, Blog Post]
Code for the report "A Greedy Algorithm to Cluster Specialists", where I develop an algorithm for the class assignment problem in the generalist-specialist framework. [GitHub Repo]
Comparing the performance of simulated annealing against a simulation of adiabatic quantum computing on Ising problems. [GitHub Repo]
Simply the best skiing website ever ? [Website]
Compare machine learning algorithms on the same dataset, with only one line. It is distributed across your cores ! [GitHub Repo]
A web-based social experiment to evaluate the meritocracy of people. [GitHub Repo]
Uses a genetic algorithm to generate images out of a trained convnet. Also, tries to learn from the generated images only. [GitHub Repo]
Predict the fluctuations of Indian Tea Companies' stock market, based on weather data. A lot of machine learning, some financial analysis. [GitHub Repo]