Yoon Kim

Yoon Kim, a Research Scientist at the MIT-IBM AI Watson Lab, shares insights into his research on deep latent variable models and natural language processing. He discusses uncovering latent structures in language, including vector representations and grammar induction. Yoon explores the complexities of variational inference in generative models and the challenges faced in training these models. Additionally, he reflects on his coding practices and the role of luck and opportunity in navigating academia, emphasizing the importance of inclusivity in tech.