About

Lan Huong Nguyen is a highly accomplished Data Scientist with a strong background in computational and mathematical engineering. Currently working at Google Health, Lan is responsible for researching and developing AI-based solutions to improve healthcare outcomes. With a relevant experience of 3.79 years, Lan has proven expertise in data science, research, AI, and search technologies. Lan's academic background is impressive, having earned a Doctor of Philosophy (PhD) in Computational and Mathematical Engineering from Stanford University, where she also completed her undergraduate studies in Applied and Computational Mathematics and Economics. Lan's academic achievements reflect her passion for discovering innovative solutions to complex problems. Before joining Google, Lan worked as an Intern in Bioinformatics at Genentech, where she studied the role of a complex in activation and repression kinetics of LPS-induced genes. She also developed a Bioconductor package for analyzing and visualizing short time-course RNA-seq data. Additionally, Lan has served as a Course Instructor for Introduction to R at Stanford University, where she designed and taught a class with more than 70 students, focusing on R application to data science. Lan's technical skills are diverse and include expertise in data science, research, AI, and search technologies. She has a proven track record of applying her skills to solve complex problems and deliver innovative solutions. Her proficiency in these areas has allowed her to make significant contributions to the field of healthcare. Overall, Lan is a highly accomplished Data Scientist with a passion for discovering innovative solutions to complex problems. Her academic background, technical skills, and relevant experience make her an invaluable asset to any organization.