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Data & AI

Build custom data sources for Apache Spark using the PySpark DataSource API for batch and streaming reads and writes.

Data & AI

Screen for psychological distress using the K6 and K10 scales, with administration and scoring guidance.

Data & AI

Analyzes time-to-event data using Kaplan-Meier, log-rank tests, and Cox regression with lifelines. Builds survival models from clinical and omics features.

Data & AI

Functional annotation and taxonomy inference from sequence homology.

Data & AI

MCP tools for reading, writing, and formatting Excel files, featuring two modes: workbook (for open Excel) and path (for closed files).

Data & AI

Production-grade techniques for evaluating LLM outputs using LLMs as judges, including direct scoring and pairwise comparison with bias mitigation.

Data & AI

AI-driven design and optimization of natural killer cell therapies for cancer immunotherapy. Covers CAR-NK engineering, memory-like NK generation, and KIR/HLA matching optimization for allogeneic treatment.

Data & AI

Generates matplotlib figures for topological data analysis (TDA) following the trajectory_tda/viz codebase conventions. Uses style constants and pre-defined figure templates.

Data & AI

CLI assistant to manage and query a local database of academic papers using the `papi` command. Supports listing, searching (exact text, BM25, hybrid), showing summaries/equations, and adding papers via arXiv ID or PDF. Use before MCP RAG tools for fast, low-cost lookups.

Data & AI

Build production machine learning pipelines from raw data to deployed model APIs, covering ingestion, validation, feature engineering, training, evaluation, registry, serving, and monitoring.

Data & AI

Gemini CLI for one-shot Q&A and summaries. Access Google's Gemini models directly from the terminal for quick questions and content generation.

Data & AI

Calculates foundation settlements including immediate elastic settlement, primary consolidation, and secondary compression using established geotechnical methods.