Bowen Yang
Observer · DISC type ciBowen Yang is a Member of Technical Staff on Coheres Foundation team, focusing on pushing the capabilities of large language models. A graduate of Columbia University and the University of Waterloo, his recent work includes co-authoring papers on hybrid attention strategies and KV cache efficiency, which were accepted at NeurIPS 2024 and 2025.
There is no publicly available information regarding Bowens personal life or hobbies outside of his professional work in AI research and development. His public profile and publications are centered on his technical contributions to the field of large language models.
He was a featured speaker at NVIDIA GTC, where he co-presented a talk on the challenges and innovations in scaling transformer models for long-context modeling.
Read the full overview →How Bowen shows up
They are likely to ask many questions and look heavily for supporting information. They can sound friendly and charming but can quickly change gears to become inquisitive and probing. They are generally good communicators and can be hard to convince.
Topics Bowen cares about
Work history
Media appearances
DISC profile (public)
Calculativeness (C)
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
Other Cohere Employees
Explore more public profiles from related professionals.
More profiles
Discover additional public profiles from our index.
Search more profiles
Looking for someone else? Search here for anyone.