Sida Wang in

Sida Wang

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Research Scientist at Facebook AI
📍 Seattle, Washington, United States

Sida Wang is a Research Scientist at Facebook AI Research (FAIR) in Seattle, focusing on natural language processing and code generation. A Stanford PhD graduate who worked with Geoffrey Hinton at the University of Toronto, his recent work involves developing large language models like Code World Model (CWM) for agentic coding and reasoning.

Beyond his AI research, Sida has a strong background in competitive mathematics, having placed in the Putnam Mathematical Competition. He also holds certifications in Financial Markets and has an elementary fluency in German, indicating diverse intellectual interests in finance and linguistics alongside his technical career.

Unique fact: As a student, he worked directly with AI pioneer Geoffrey Hinton on research into capsules and the transforming autoencoder.

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Experience
9 Years
Current Role
Research Scientist
Location
Seattle, Washington, United States
Personality Overview

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Communication Style
Decision Approach
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Priorities

Topics Sida cares about

Code Generation LLMs
His work at FAIR is centered on advancing code generation models, as seen in projects like Code Llama, InCoder, and the recent Code World Model (CWM).
AI Model Evaluation
He is focused on the robust evaluation of AI, having shared work on platforms like 'eval-arena' and co-authored benchmarks such as DS-1000 and SWE-bench.
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Career

Work history

7-2019
Research Scientist
Facebook AI
1-2018 - 6-2019
Research Scientist
ASAPP
10-2017 - 6-2019
Research Instructor
Princeton University
3-2014 - 9-2014
Software Engineering Intern
Google
5-2010 - 9-2011
Research Assistant
University of Toronto
In the press

Media appearances

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Education
2011 - 2017
PhD
Stanford University
2006 - 2011
BASc
University of Toronto
Social presence
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Behavioral profile

DISC profile (public)

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