Andromeda Galaxy M31
OBJ M31 · Andromeda
RA 00h 42m 44s
DEC +41° 16′ 09″
DIST 2.537 MLY
LAB ONEMEE
UTC --:--:-- UTC
MODE OBSERVATION
IMG Miller · USA · 2026
EXP LRGB · Hα
SAFETY ACTIVE
SCIENCE ACTIVE
NGC 224 · M31 · Andromeda Galaxy · 2.537 Million Light-Years
Laboratory · Artificial Intelligence Research
Safety
·
Science

An independent laboratory advancing machine intelligence — keeping AI aligned with human values, and accelerating scientific discovery at every frontier.

Explore Research Join the Lab
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AI Alignment Drug Discovery Interpretability Protein Folding Scalable Oversight Mathematical Reasoning RLHF · Value Learning Scientific Foundation Models Formal Verification Theorem Proving AI Alignment Drug Discovery Interpretability Protein Folding Scalable Oversight Mathematical Reasoning RLHF · Value Learning Scientific Foundation Models Formal Verification Theorem Proving
Mission

Intelligence in service of everything that matters

Onemee Laboratory is an independent AI research group at the intersection of machine learning theory and grand scientific challenge — pursuing research driven by curiosity and the desire for lasting impact.

We operate outside the constraints of large corporate laboratories. Small, focused teams with deep mathematical foundations can produce work that changes the trajectory of the field.

2
Research Pillars
4
Team Members
Open Questions
1
Universe
Philosophy

Independent research.
Outsized impact.

We believe the most transformative AI research can emerge from independent groups — unconstrained by product timelines or commercial pressures. Our commitment is to deep work with real consequences.

We collaborate internationally across Asia, Europe, and North America. Every project connects to our core mission: building AI that is safe, and using AI to accelerate science.

Open to PhD candidates and visiting researchers
Strong mathematical foundations required
International collaboration welcome
Research Pillars

Two frontiers. One mission.

S
01 / 02 · Safety
🛡️

Safety

Building AI systems that remain beneficial, interpretable, and robustly aligned as they grow more capable. We develop formal frameworks for value learning, scalable oversight, and mechanistic interpretability.

Mechanistic Interpretability
Scalable Oversight
Reinforcement Learning from Human Feedback
Formal Verification of Learned Behaviors
Constitutional AI Methods
S
02 / 02 · Science
⚗️

Science

AI-driven discovery across biology, chemistry, physics, and mathematics. We build reasoning models that form hypotheses, design experiments, and synthesize knowledge at superhuman scale.

Protein Structure Prediction
Autonomous Hypothesis Generation
Mathematical Theorem Proving
Molecular Drug Discovery
Scientific Foundation Models
People

The minds behind the mission

PI
Principal Investigator

Lab Director

Reinforcement Learning · Large Reasoning Models · AI Safety
PhD
PhD Candidate

Doctoral Researcher

Scalable Alignment · Mechanistic Interpretability · RLHF
UG
Undergraduate Researcher

Research Assistant I

Scientific LLMs · Mathematical Theorem Proving
UG
Undergraduate Researcher

Research Assistant II

Molecular AI · Drug Discovery Models
Contact & Opportunities

Join us at
the frontier.

Safety Science

Open positions for PhD candidates, visiting researchers, and collaborators worldwide. We welcome those who combine mathematical rigour with scientific ambition.