Resume
Academic Achievements
- Awarded the 2021 Google PhD Fellowship in Machine Learning (declined due to early graduation)
- Published 'Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc' at ICML 2023
- Published 'Denoising Diffusion Samplers' at ICLR 2023
- Published two papers at NeurIPS 2022: 'Score-based diffusion meets annealed importance sampling' and 'Learning to Navigate Wikipedia by Taking Random Walks'
- Published 'Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models' at AISTATS 2022