Chong Ding was born in Shenyang, China. After moving to the US in 2003, Chong received a master's degree in electrical engineering from University Missouri-Rolla, as well a MBA from Duke University. Chong is currently working on chip design for compute and AIs.

Chong's interests in AI goes back around 2015, at the time he finished several online courses such as Machine Learning, Udacity Deep Learning NanoDegree. Chong is interested in building applications based on large language models.

Yu Yang (Ph.D., PE, PMP) had worked as a water engineer for about 10 years. Currently he is working full time as a data scientist. His primary interests include web development, machine learning, AIGC, and large language model (LLM). His representative side projects are as follows.

1. Chrome extension: Engineer Unit Converter
2. AIGC related Book: Poems from Tang Dynasty Meet AI

Jeff Du, a graduate from Sun Yat-sen University (中山大学) and Duke, has been working in bioinformatics and biostatistics for several years. Alongside his professional work in NGS data analysis and large scale programming work, he also has strong interest in applying AI techniques to everyday life. On weekends, he likes to spend time on projects involving computer vision and building his own home security system. In his free time, he also enjoys marathon running and participating in triathlons.