I take research contracts from companies and institutions — and deliver publishable findings, working prototypes, or novel solutions to open technical problems.

This is not a literature review service. I conduct original applied research: I design experiments, implement and run them, analyse results, identify what's new, and write it up to conference or journal standard.

What's included:

Problem scoping and research question definition (week 1)

Literature review and gap analysis

Experimental design and implementation (Python/JAX/PyTorch)

Results analysis with statistical rigour

Written research report or draft paper (IEEE/NeurIPS/arXiv format)

Optional: working proof-of-concept or prototype of the discovered solution

Domains I work in:

Scientific Machine Learning and neural operators

Physics-informed AI and simulation surrogates

LLM evaluation, alignment, and structured reasoning

Multimodal AI systems and cross-modal grounding

Quantum-classical hybrid ML and variational circuits

Applied AI for healthcare, biotech, and drug discovery

Past research work: Isolated CFT scaling dimension collapse in Neural Quantum States (Project Sigma) — a graduate-level finding on Quantum Geometric Tensor failure modes. Co-built AdS/CFT neural operator surrogates achieving >500× PDE speedup. Built LAZARUS medical AI with AHA-compliant clinical reasoning architecture.

Who this is for: Companies needing a technical answer to a hard problem, research labs needing an extra pair of hands on a defined subproject, startups needing a proof-of-concept before committing engineering resources, or institutions needing a research output without hiring full-time staff.

Price covers a defined 6-week research engagement with a written deliverable. Longer engagements and ongoing research retainers quoted separately.