Tuck Ngun
About Tuck Ngun
Tuck Ngun is an Analyst at Riot Games, where he has worked since 2019. He has a diverse background in data science, having held positions at Oracle, DataScience.com, and UCLA, and holds a PhD in Human Genetics from UCLA.
Work at Riot Games
Tuck Ngun has been employed at Riot Games as an Analyst since 2019. His role involves utilizing data analysis to support decision-making processes within the company. Riot Games is known for its commitment to creating engaging gaming experiences, and Ngun's analytical skills contribute to this mission. He continues to work in the Greater Los Angeles Area, where the company is headquartered.
Previous Experience in Data Science
Before joining Riot Games, Tuck Ngun held several positions in data science. He worked as a Senior Data Scientist at DataScience.com from 2017 to 2018, and prior to that, he was a Data Scientist at the same company from 2015 to 2017. Ngun also served as a Senior Data Scientist at Sense360 from 2018 to 2019. His experience in these roles provided him with a strong foundation in data analysis and interpretation.
Education and Expertise
Tuck Ngun earned a Bachelor of Science degree in Molecular Biology from UC San Diego, completing his studies from 2003 to 2006. He furthered his education at the University of California, Los Angeles, where he obtained a PhD in Human Genetics from 2007 to 2012. His academic background equips him with a deep understanding of scientific research and data analysis methodologies.
Research Experience at UCLA
Ngun has extensive research experience at UCLA, where he worked as a Graduate Student Researcher from 2008 to 2012 and later as a Postdoctoral Scholar from 2013 to 2015. During his time at UCLA, he contributed to various research projects, enhancing his skills in data analysis and research methodologies relevant to human genetics.
Early Career and Laboratory Experience
Tuck Ngun began his career in research as a Laboratory Technician at Georgetown University in 2006. He also worked as a Laboratory Assistant at UCSD from 2004 to 2006. These early roles provided him with practical laboratory skills and experience in scientific research, laying the groundwork for his future endeavors in data science and analysis.