About

Sinong Geng is a highly accomplished and motivated CS Ph.D. student with a focus on stochastic control. Currently working as an Applied Scientist Intern at Amazon, Sinong has gained a wealth of experience in the field of stochastic control, particularly in the area of high-dimensional statistics. Prior to his role at Amazon, Sinong worked as a Graduate Research Associate at Los Alamos National Laboratory, where he honed his skills in high-dimensional statistics and made significant contributions to the field. He also worked as a Research Assistant at the Wisconsin Institute for Discovery, where he gained valuable experience in statistical modeling and data analysis. Sinong's impressive academic background includes a Doctor of Philosophy in Computer Science from Princeton University, where he focused on stochastic control and developed a deep understanding of the field. He also holds a Master of Science in Statistics from the University of Wisconsin-Madison, where he gained expertise in statistical modeling and data analysis. Additionally, he completed a Visiting International Student program in Statistics at the University of Wisconsin-Madison and earned a Bachelor of Science in Statistics from Nankai University. Sinong is a highly skilled research scientist with 4.53 years of relevant experience. He has a strong technical background and is proficient in a wide range of programming languages and tools. His expertise in stochastic control, statistical modeling, and data analysis makes him a valuable asset to any organization. He is a dedicated and hardworking individual with a passion for solving complex problems and pushing the boundaries of what is possible.