About

Chengxi Li is a highly skilled research scientist with over 5 years of experience in computer vision, image processing, and machine learning research. He graduated from Purdue University with a doctoral degree in Electrical and Computer Engineering, where he focused on scene understanding for applications to driver safety systems (ADAS) and autonomous driving (AD). Chengxi is currently working as an Investment Advisor at Uphonest Capital, where he leverages his expertise in large-scale numerical optimization for robust machine learning. Prior to this, he worked as a Research Scientist at Meta and a Machine Learning Engineer at Facebook. Throughout his career, Chengxi has demonstrated a deep understanding of research methodologies and a passion for solving complex problems. He has a strong track record of developing innovative solutions that address real-world challenges, and his contributions have been recognized by his peers and industry experts alike. Chengxi's technical expertise includes research in computer vision, image processing, and machine learning, and he is proficient in relevant programming languages and tools. He is a quick learner and adapts well to new technologies and methodologies. In summary, Chengxi Li is a highly skilled research scientist with a proven track record of delivering innovative solutions in computer vision, image processing, and machine learning. He is a valuable asset to any organization that values technical expertise, innovation, and a commitment to excellence.