Mengdi H.

Mengdi H. has a diverse work experience, beginning with a Graduate Research Assistant role at the University of Pennsylvania in 2018. Mengdi then became a Graduate Teaching Assistant at Carnegie Mellon University in 2017, and a Panel Member for the CMU U.S.-China Innovation and Entrepreneurship Association (IEA) the same year. In 2017, Mengdi H. also participated in the Citadel Datathon, where they trained data and visualized Uber pick-up distributions on a map. In 2016, they were a Research Assistant at Stanford University. In 2019, Mengdi H. began their role as a Graduate Research Fellow at The Wharton School, and also worked as a Research Intern at Comcast. In 2021, they became a Core Member of the Chinese Entrepreneurs Organization, and in 2020, they began their role as a Deep Learning Engineer at NVIDIA, where they worked on accelerating deep learning frameworks and large models on GPU, creating technical marketing contents, and analyzing adoption metrics and trends. In 2023, Mengdi H. became a Lead AI Engineer at Omneky.

Mengdi H. has a varied educational background. Mengdi has attended the University of Pennsylvania, where they studied Electrical Engineering and Computer Science. Mengdi also cross-registered at The Wharton School to study Operations, Information Management & Decision Processes. Mengdi H. then attended Carnegie Mellon University, where they studied Language Technologies & Computational Biology in the School of Computer Science. Mengdi then attended Stanford University to study Computer Science and Management Science & Engineering. Mengdi H. also attended Peking University to study Informatics and Nankai University to study Physics and Electrical Engineering. In addition to their educational background, Mengdi H. has obtained certifications in Deep Learning Specialization from LinkedIn, Natural Language Processing from Coursera, and a Proxy for Multilingual Proficiency from Duolingo.