Shangda Guo

Shangda Guo is a rising star in the world of data science and machine learning. Currently, he is pursuing a Ph.D. in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, where he specializes in designing algorithms that efficiently solve large-scale optimization problems. Before that, he received a Bachelor of Science degree in Electrical Engineering from Shanghai Jiao Tong University in China.

Shangda has an impressive track record of research and professional experience. He has worked as a research intern at leading tech companies such as Amazon, Microsoft, and Intel Labs. During his internships, he contributed to projects that involve natural language processing, computer vision, and recommendation systems.

In addition, Shangda has published several papers in top-tier conferences, including NeurIPS, ICML, and AAAI. His research focuses on developing scalable and efficient algorithms for machine learning, optimization, and control applications.

Besides his academic and research achievements, Shangda is also passionate about teaching and mentoring young students. He serves as a teaching assistant for various courses, including Machine Learning and Optimization, and has mentored undergraduate students in research projects.

With his impressive research achievements and passion for teaching, Shangda Guo is well poised to become a leading figure in the field of data science and machine learning.