Towards Principled AI Alignment: An Evaluation and Augmentation of Inverse Constitutional AI
Undergraduate thesis advising for Esther An at Harvard SEAS. Topic focused on evaluating and extending inverse constitutional AI for principled alignment.
Projects
random stuff I’ve worked on, either for school or just for fun.
Communication Complexity Bounds for Approximating Voting Rules
Final project for Harvard ECON 2070.
Expressivity of Shallow and Deep Neural Networks for Polynomial Approximation
Final project for MIT 9.520/6.860: Statistical Learning Theory and Applications.
Market Power and Strategic Drops: An Approach to Stable Matching Mechanisms
Edge of Stability Training Dynamics
Thoughts on EoS and self-stabilizing training dynamics in gradient descent, built as a final project for Harvard CS224.
Contribution to Machine Learning Systems
I contributed to the open-source book Machine Learning Systems by Prof. Vijay Janapa Reddi.