Andrej Risteski is an Assistant Professor at the Machine Learning Department in Carnegie Mellon University. He received his PhD in the Computer Science Department at Princeton University. His research interests lie in machine learning and statistics, spanning topics like representation learning, generative models, word embeddings, variational inference and MCMC and non-convex optimization. The broad goal of his research is principled and mathematical understanding of statistical and algorithmic phenomena and problems arising in modern machine learning.