SciPy plugins

Automate Chinese research paper workflows: brainstorm topics and structures interactively, synthesize literature from PubMed/arXiv with BibTeX, generate Python data visualizations/stats code using matplotlib/seaborn/scipy, draft evidence-driven chapters, peer-review with checklists, polish bilingual text, and compile publication-ready LaTeX with journal templates.

Automate end-to-end chip and mask layout design in KLayout using AI agents via MCP server: detect van der Waals flakes from microscope images, align GDS to photos, trace contours to polygons, route nanodevice contacts to pads, overlay images, toggle layers, capture visuals, and export GDS from natural language queries.

Streamline end-to-end data science and ML workflows: frame business problems into ML tasks, preprocess and validate data with quality checks, perform EDA on diverse formats, design and execute experiments with hyperparameter tuning via Optuna and interpretability via SHAP, audit reproducibility and leakage, evaluate model performance and readiness for deployment, generate model cards, and extract structured learnings into docs.

Design provably correct, asymptotically optimal algorithms and data structures; analyze computational complexity with Big-O proofs; implement dynamic programming, graph algorithms, sorting/searching, numerical methods, and optimization solvers; optimize performance-critical code across paradigms like greedy, divide-and-conquer, and backtracking.

Execute astrophysics analysis workflows: compute JAX-accelerated bandflux for supernova light curves with synthetic data and likelihood templates; process FITS files via photometry, spectroscopy, astrometry, light curve analysis, and cosmological calculations using astropy ecosystem.