John Dang in

John Dang

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Member of Technical Staff (Founding Team) at Adaption
📍 New York, New York, United States

John Dang is an AI Researcher on the founding team at Adaption, focusing on building machine intelligence that learns efficiently and continually. A graduate of UCLA with both a BS and MS in Computer Science, his expertise covers LLM alignment and reinforcement learning, developed at Cohere Labs and UCLAs Machine Intelligence Group.

Outside of his primary research, John enjoys playing and writing music on vocals, guitar, and piano. He is also passionate about working out, trying new food, and was formerly the president of the largest student AI organization at UCLA, ACM AI.

He co-authored two papers on LLM alignment that were under review for the 2024 International Conference on Learning Representations (ICLR).

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Experience
4 Years
Current Role
Member of Technical Staff (Founding Team)
Job Level
Junior
Location
New York, New York, United States
Personality Overview

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Priorities

Topics John cares about

Adaptable Intelligence
As a founding researcher at Adaption, his core mission is building machine intelligence that can learn effectively and continually from new experiences.
LLM Alignment
A primary focus of his graduate research at UCLA and work at Cohere Labs, exploring how to align large language models with human preferences.
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Career

Work history

9-2025
Member of Technical Staff (Founding Team)
Adaption
1-2024
Research Engineer
Cohere
1-2024 - 9-2025
Member of Technical Staff (Cohere Labs)
Cohere
6-2023 - 9-2023
Machine Learning Research Intern
Motional
1-2023 - 6-2023
Teaching Assistant
UCLA Computer Science
In the press

Media appearances

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Education
9-2022 - 12-2023
Master of Science - MS
UCLA
9-2018 - 3-2022
Bachelor of Science - BS
UCLA
8-2014 - 5-2018
Education details unavailable
Evergreen Valley High School
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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