Nathan Kwan Ho Ng
About Nathan Kwan Ho Ng
Nathan Kwan Ho Ng is a Research Intern specializing in Data Science and Machine Learning at Adobe since 2021. He has a strong academic background with a Bachelor's degree from Hong Kong Baptist University and is currently pursuing his MS/Ph.D. at UMass Amherst, where he also works as a Research Assistant.
Work at Adobe
Nathan Kwan Ho Ng has been working as a Research Intern in Data Science and Machine Learning at Adobe since May 2021. In this role, he has contributed to research initiatives in the fields of data science and machine learning. His internship at Adobe has allowed him to engage with advanced technologies and methodologies, enhancing his expertise in these areas.
Education and Expertise
Nathan is pursuing a combined MS/Ph.D. in Computer Science at the College of Information and Computer Sciences, UMass Amherst, from 2019 to 2025. He previously earned a Bachelor's degree in Computer Science from Hong Kong Baptist University, where he studied from 2014 to 2018. His academic background provides a strong foundation in computer science principles, data management, and analytics.
Background
Nathan has a diverse background in academia and research. He worked at Hong Kong Baptist University as a Course Assistant for various computer science courses from 2015 to 2018. He also served as a Research Assistant at the same institution from 2018 to 2019. Additionally, he gained international experience as a Visiting Research Student at Nanyang Technological University in Singapore in 2017.
Teaching Experience
Nathan has held several teaching positions throughout his academic career. He worked as a Teaching Assistant at the College of Information and Computer Sciences, UMass Amherst, in 2019 and again in 2021. His roles included supporting faculty and assisting students in understanding complex computer science concepts, further developing his communication and instructional skills.
Research Contributions
Since 2020, Nathan has been engaged in advanced research projects as a Research Assistant at UMass Amherst. His research focuses on data science and machine learning, contributing to the academic community's understanding of these fields. His work includes participation in various research initiatives and projects that aim to advance knowledge in data management and analytics.