People & research network

Working toward AGI that is lighter, faster, more capable.

Neural Superintelligence Lab brings together researchers across institutions and career stages. Our goal is to improve optimization, generalization, model compression, and multi-agent systems to make advanced AI more computationally efficient and affordable.

Leadership · Current team · Network · Alumni

Director
Vincent-Daniel Yun, USC
Mission
Fast Lightweight AGI
Current team
2 researchers
Alumni network
12 researchers

Leadership

Research direction & leadership

Vincent-Daniel Yun
Lab Director

Vincent-Daniel Yun

University of Southern California

Vincent-Daniel Yun leads the lab’s research direction and cross-institutional collaborations. His research focuses on efficient machine learning, LLM optimization and reasoning, and model pruning, quantization, and compression. These are core tools for making neural networks lighter, faster, and more efficient in learning from data.

Efficient ML LLM optimization Model compression Multi-agent systems
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Current team

Research in progress.

A compact team working across institutions on efficient machine learning and capable AI systems.

Current member Woosang Lim PhD student at Seoul National University
Contributing to the lab’s research on efficient machine learning and capable AI systems.

Research network

Researchers from
different institutions

The lab is organized around shared research questions rather than a single institutional home. Researchers from universities, public research institutes, and industry work together on optimization, generalization, model compression, efficient architectures, and multi-agent systems.

Our common goal is to reduce the computational and financial cost of advanced AI while improving its ability to learn, reason, and coordinate.

01shared research community spanning past and present affiliations
NeuralSuperintelligenceLabShared research
Universities
Public institutes
Industry labs
Researchers
Models and agents
Shared questions
One research community, many points of view

Former members

Alumni

The network continues. Former lab members remain part of a growing community across research, higher education, and industry.

Joined Feb 2025
Kyudan Jung
MS/PhD student at KAIST
Joined Feb 2025
Suin Cho
Researcher at Boston University
Joined Feb 2025
Gyuho Shim
Student at Korea University
Joined Feb 2025
Gyeongyeon Hwang
Heuron
Joined Feb 2025
Hyosuk Bang
Musinsa
Joined Feb 2025
Sujin Kim Lab alum
Lab alum
Youngjin Heo
Samsung Electronics
Lab alum
Sanhoon Kim
Samsung Electronics
Lab alum
Youngrae Kim
PhD student at USC
Lab alum
Minkyu Kim
AITRICS
Lab alum
Autumn Kwon
MS in Computer Science at USC
Affiliations are shown for identification and may change over time. Profile links open in a new tab.