Quantum materials × Topology × AI for science.
I study exotic phases in low-dimensional systems (FCIs/FQAH, topological superconductivity) and build agentic AI tools that accelerate both experiment and theory.

• Exotic topological quantum matter aimed at computation-changing platforms (anyonics, strongly correlated phases).
• AI for labs: agentic systems that read instruments, control microscopes/stages, triage literature, and run analyses end-to-end.

  For this mission, AI is necessary—to explore vast hypothesis spaces, automate measurement/analysis loops, and close the gap between theory and experiment.

The current bottleneck is reasoning. Today’s models are not yet “smart enough” for fully autonomous scientific discovery.

I’m pushing toward super-AGI-level scientific agents via:

• high-quality data generation,
• robust tool-use policies and safety rails,
• rigorous evaluations and private benchmarks for scientific tasks.

• AI-for-Science projects (agentic tool-use, planning, evals, safety).
• Data generation that actually improves reasoning toward super-AGI.
• Quantum matters (2D/moiré, FCIs/FQAH, topological superconductivity).
• Instrumentation that microscopes quantum matters and AI at MACRO-, Meso, and nano-scales.

Physics •
AI agents and MCP servers for lab hardware •
Symbolic derivation at scale •
Building datasets/evals for scientific LLMs/agents.

I build everything from hardware (so HDL) to software (so frontend) even unusual Xware (e.g., symbolic tools), and I am willing to learn everything.

Email: jiaqic [at] mit.edu

If you’re exploring topological matter or building agentic tooling for labs, let’s talk. I’m happy to co-design evaluations, data pipelines, or instrument integrations.