Jonathan Cheng
About Jonathan Cheng
Jonathan Cheng is a Staff Data Scientist at Riot Games, specializing in multimodal machine learning and text-to-art generation. He holds a PhD in Cultural Analytics from the University of Nebraska-Lincoln and has previous experience at Apple as a Machine Learning Researcher.
Work at Riot Games
Jonathan Cheng has been employed at Riot Games as a Staff Data Scientist since 2022. He is based in Los Angeles, California. In this role, he focuses on multimodal machine learning research, which integrates various data types for comprehensive analysis. His work aims to enhance player experiences by exploring the intersection of machine learning and game development.
Education and Expertise
Jonathan Cheng earned his PhD in English with a focus on Cultural Analytics from the University of Nebraska-Lincoln, completing his studies from 2015 to 2020. He also holds a Bachelor of Arts in English Language and Literature/Letters and Informatics/Information Science from the University of Illinois at Urbana-Champaign, which he completed from 2009 to 2013. His expertise includes text-to-art generation, contributing to innovative projects in this field.
Previous Experience at Apple
Before joining Riot Games, Jonathan Cheng worked at Apple for two years as a Machine Learning Researcher from 2020 to 2022 in Cupertino, California. He also completed a three-month internship as a Machine Learning Intern in 2019 at the same location. His roles at Apple involved applying machine learning techniques to various projects.
Research Focus
Jonathan Cheng's research primarily revolves around multimodal machine learning, which involves the integration of different types of data for analysis. He is particularly interested in how these techniques can be applied to enhance player experiences in gaming. His work in text-to-art generation further showcases his commitment to innovative applications of machine learning.