Abdul-Saboor Sheikh is a member of the Intelligent Control team at Zalando Research. He obtained his Ph.D. from the Technical University of Berlin, where he worked in the area of scalable inference and learning in probabilistic latent variable models. He later joined SAP Innovation Center Network Berlin, where as a Machine Learning Researcher he collaborated with academic research teams to develop data-driven solutions for a variety of enterprise applications. Prior to his Ph.D., he also worked in the area of information retrieval, contributing to the development of an academic search engine for biomedical literature at Carnegie Mellon University.
Current research interests:
Bayesian statistics, generative modeling, reinforcement learning
Project(s) at Zalando Research:
Personalized Size Recommendation