Kyunghyun Cho is an associate professor of computer science and data science at New York University and CIFAR Fellow of Learning in Machines & Brains. He is also a senior director of frontier research at the Prescient Design team within Genentech Research & Early Development (gRED). He was a research scientist at Facebook AI Research from June 2017 to May 2020 and a postdoctoral fellow at University of Montreal until Summer 2015 under the supervision of Prof. Yoshua Bengio, after receiving PhD and MSc degrees from Aalto University April 2011 and April 2014, respectively, under the supervision of Prof. Juha Karhunen, Dr. Tapani Raiko and Dr. Alexander Ilin. He received an honour of being a recipient of the Samsung Ho-Am Prize in Engineering in 2021. He tries his best to find a balance among machine learning, natural language processing, and life, but almost always fails to do so.rning, natural language processing, and life, but almost always fails to do so.
Kyunghyun Cho
Associate Professor, Computer Science & Data Science, New York University
CIFAR Fellow, Learning in Machines & Brains
Participant In These Roundtable Discussions
Sat
Oct 15th
2022
Oct 15th
2022
Watch
Coding and the New Human Phenotype
This conference explores the concept of life, knowledge, and experience through the lens of “code,” examining how meaning is encoded, transmitted, and transformed across biological, digital, and cultural systems. Through five roundtables, it investigates how we reconstruct the past, navigate authenticity in a digital world, interpret fiction and ideas, engage with AI-generated language, and consider the possibility that reality itself may be fundamentally computational—together asking what is gained, and what may be lost, as code increasingly mediates our understanding of the world.
Sun
Oct 16th
2022
Oct 16th
2022
Watch
Coding and the new Human Phenotype: Are Natural Language Generators for Real?
This roundtable investigates the implications of AI systems capable of generating human-like language and behavior. It asks how these systems challenge our understanding of intelligence, agency, realism, and ethical responsibility.