AI for Science
Methods, benchmarks, and reproducible software releases.
Ph.D. Candidate · methods, systems, and research tooling
I work on two axes: AI for Science (methods, benchmarks, and research software) and Science for AI (harnesses, orchestration, telemetry, and evaluation). Domain papers are listed as published case work.
Use SCPortal for broad browsing, benchmark pages for detailed comparisons, and project pages for methods, datasets, or companion materials.
Canonical public discovery hub for datasets, benchmarks, models, and related tools.
Open SCPortal →Interactive mRNA intersection analysis and visualization tool.
Launch →Focused benchmark destination for model summaries, datasets, and metric detail pages.
Open LAIOR Benchmarks →Public-facing iAODE destination for datasets, explorer pages, and project overview content.
Open iAODE Pages →Centroid-coupled VAE benchmark across 200 single-cell datasets (100 scRNA + 100 scATAC) with per-dataset metadata cards.
Open scCCVGBen →Companion site for GAHIB, the graph-attention information-bottleneck framework, with method overview and online figures.
Open GAHIB Companion Site →Reference atlas for scCCVGBen datasets, methods, metrics, and the companion application.
Open scCCVGBen Atlas →A simple path from the homepage overview to broader browsing and then benchmark-specific detail.
Research themes, publication highlights, profile links, and released tools in one place.
Compare datasets, models, benchmarks, and related tools across the public work.
Open SCPortal → 03Model, dataset, and metric pages when you need benchmark-specific detail.
Open benchmarks →Direct statement of work: AI for Science and Science for AI.
I work on two axes. AI for Science: machine learning methods, benchmarks, and open software. Science for AI: harnesses, orchestration, telemetry, and evaluation. Single-cell and other domain papers are published case work, not the full scope of the page.
Published methods, benchmarks, packages, and companion sites.
Agent harness work across Claude Code, Codex, Grok Build, Antigravity, OpenCode, and the oh-my-* series: skills, plugins, runtime loops, telemetry. Upstream contributor to oh-my-openagent (33 merged PRs on team mode, tmux subagent runtime, and runtime fallback; ranked 11th of 313 contributors by commits as of Sep 2026).
Earlier single-cell papers remain listed as published case work.
GitHub, ORCID, Scopus, and Web of Science for code, citations, and authorship tracking.
Methods work, agent-harness work, and published domain papers.
Methods, benchmarks, and reproducible software releases.
Harnesses, orchestration, telemetry, and evaluation for research and engineering agents.
Single-cell and other domain papers are listed as published case work.
# Equal contribution * Corresponding author 13 peer-reviewed papers
Fu, Z.#,*, Chen, C.#, Zhang, K. · Biomedical Signal Processing and Control 122, 110376 · 2026
Fu, Z.#,*, Liu, Y.#, Wang, J., Wang, S. · Array 30, 100808 · 2026
Fu, Z.#,*, Liu, Y.#, Wang, J.*, Wang, S.* · Array 30, 100934 · 2026
10 published tools and code releases (7 on PyPI)
BSPC · 2026
Momentum contrastive coupling for discrete and continuous structure in single-cell omics.
Array · 2026
Centroid-coupled graph attention VAE for stable, interpretable single-cell embeddings.
Array · 2026
Structured metadata-conditioned latent generation via language-omics pretraining and DiT.
pip install iaode
Neural ODE-VAE for scATAC-seq benchmarking and continuum modeling.
pip install iVAE
Interpretable VAE enhancing clustering for single-cell data.
pip install livae
Lorentz-regularized VAE for transcriptomic and epigenomic embeddings.
pip install gnodevae
Graph ODE-VAE with GNN-enhanced clustering and dynamics.
pip install scrl-fatedecision
RL for evaluating cell fate decisions in single-cell data.
pip install scfocus
SAC-based branching probability detection for lineage focusing.
pip install scCODE
Correlated latent space learning for single-cell RNA continuum modeling.
Public sites for key geometry, edit federation, noise swamping, and prospective admission. Science names only.
Gain-screened two-regime map of rank-one merge interference.
Map →Closed-form key-cosine / S×C vs locate-then-edit collateral.
Site →INT8 / NF4 damage-rank survival and base-model noise.
Site →Geometry-ordered merge admission; mixed predicates, no cross-model rule.
Site →Public pages for browsing datasets, checking benchmarks, reading companion materials, and using focused utilities.
Microsite
Focused benchmark destination for model summaries, datasets, and metric detail pages.
Open LAIOR Benchmarks →Public Surface
Public-facing iAODE destination for datasets, explorer pages, and project overview content.
Open iAODE Pages →Benchmark
Centroid-coupled VAE benchmark across 200 single-cell datasets (100 scRNA + 100 scATAC) with per-dataset metadata cards.
Open scCCVGBen →Microsite
Companion site for GAHIB, the graph-attention information-bottleneck framework, with method overview and online figures.
Open GAHIB Companion Site →Documentation Atlas
Reference atlas for scCCVGBen datasets, methods, metrics, and the companion application.
Open scCCVGBen Atlas →Local-only model routing infrastructure; no public browser API.
Read public protocol →Kept off the homepage because it is a local-first workspace rather than a public hosted app surface.
Maintained as a landing-only reference surface, so the homepage does not present it as an actively browsable public tool.
Live AI interaction statistics for the Science for AI harness loop behind methods, benchmarks, and pages.
Track the AI-assisted build loop across Claude Code, Codex, Grok Build, Antigravity, and OpenCode, coordinated by the oh-my-* harness series.
View Full Stats →For collaborations, code, profiles, and public research references.