Ethan Rosenthal
About Ethan Rosenthal
Ethan Rosenthal is a Member of Technical Staff currently working at Runway and an Adjunct Professor at NYU Tandon's Finance & Risk Engineering Department. He has extensive experience in machine learning and data science, having held various positions at Square and other organizations, and holds multiple degrees in Physics from Columbia University.
Current Role at Runway
Ethan Rosenthal serves as a Member of Technical Staff at Runway, a position he has held since 2024. His work is based in New York, New York, where he contributes to the company's technical initiatives. This role follows his extensive experience in artificial intelligence and machine learning.
Previous Experience at Square
Ethan Rosenthal worked at Square in various capacities from 2020 to 2024. He began as a Machine Learning Engineer from 2020 to 2021, then advanced to AI Engineering Lead from 2021 to 2023, and briefly served as Staff AI Engineer for three months in 2024. His roles involved significant contributions to AI projects within the company, located in New York, New York.
Academic Involvement at NYU Tandon
Since 2022, Ethan Rosenthal has been an Adjunct Professor in the Finance & Risk Engineering Department at NYU Tandon. His role involves teaching and mentoring students, leveraging his extensive background in physics and data science. He continues to engage with academia while working in the tech industry.
Educational Background in Physics
Ethan Rosenthal has a strong academic foundation in physics, having studied at Columbia University. He earned a Bachelor of Science (BS) from James Madison University in 2009, followed by a Master of Arts (M.A.) in 2011, a Master of Philosophy (M.Phil.) in 2012, and a PhD in 2015. His education has equipped him with analytical and problem-solving skills relevant to his career in technology.
Consulting and Advisory Roles
Ethan Rosenthal has held various consulting and advisory roles, including serving as a Data Science Consultant at Rosenthal Data, LLC from 2018 to 2020 and as a Technical Advisor at Insight Data Science during the same period. His expertise in data science and machine learning has been instrumental in guiding organizations in their technical strategies.