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Resume (English only)
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