I research generative models, neural compression, and LLMs in collaboration with FAIR Labs at Meta AI, Google-Brain and StanfordAI. I'm a recent graduate of CS, Math, and Stats at the University of Toronto where I began learning about latent variable models and probabilistic inference at the Vector Institute. I'm seeking full-time ML research and engineering roles in 2023.
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Predicting transcription factor binding sites using next-generation sequencing genomic data and Segway.
407 contributions in the last year
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