Li Guo Hung has over 7 years background of biomedical engineering, over 5 years experience of machine learning and deep learning, including structure data, image (computer vision), and NLP with lots of projects and 3 journal publications, and 2 years of experience in web-based system development. He is also familiar with using cloud platforms, including GCP and AWS.

Li Guo Hung is currently working for AESOP technology as a data engineer for Medical Big Data Product and he has participated in 3 main products about “Prescription Error” and “Health Insurance Declaration”. He used to process billions of prescription data and generate robust association models of medication, diagnosis, procedure, lab test, and surgery. He is the first person to use the GRU-based deep learning model to suggest the proper diagnosis code in AESOP, which improved over 5% in accuracy compared with the original method. He is also the first person to use natural language processing to deal with free text medical records and find the forgotten diagnosis codes which should be listed in the problem list but are not, and this method served as a new function of the existing system. With his help, AESOP technology has been accepted into Mayo Clinic Platform_Accelerate, a 20-week program that helps early-stage health tech AI startups get market-ready.

Li Guo Hung is a talented and hard-working engineer who devoted himself to data science and computer science. He has lots of practical experience in the medical informatics system using python, JavaScript and Golang. He is not only an experienced data science worker and a full-stack software engineer, but also a good communicator. He is used to being a translator between technical domains and people. He is good at helping people to understand profound knowledge.