Navid Ansari is a machine learning researcher with over five years of experience in deep learning, generative models, and optimization. They are currently a Strategic AI Researcher at Huawei and pursuing a Ph.D. in Computer Science at Universität des Saarlandes, where their research focuses on mixed-integer and Bayesian optimization methods and uncertainty quantification in deep neural networks. Navid has previously held positions at notable institutions, including a research position at the Max Planck Institute for Informatics and an internship as an Applied Scientist at Amazon AWS, where they contributed to large language model sparsification. Their work has resulted in publications in prestigious venues like NeurIPS and SIGGRAPH.
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