Seurat single-cell analysis skill for clustering, annotation, and trajectory analysis
SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.
Simulation experimental design skill for efficient scenario analysis and optimization.
Comprehensive special functions evaluation and manipulation
Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide…
STRING protein interaction network skill for functional enrichment and network visualization
Structural equation modeling with latent variables guide
Structural variant detection skill for identifying CNVs, inversions, translocations, and complex rearrangements
Symbolic computation using SymPy for Python-based mathematical analysis
System dynamics modeling skill for feedback loop analysis, stock-flow diagrams, and dynamic simulation
TensorFlow/Keras model training skill with callbacks, distributed strategies, and TensorBoard integration.
Diagnose training issues with Tinker — slow steps, hanging sessions, output mismatches, error messages, renderer problems, and deployment…
Conduct post-training research for LLMs using the Tinker API — replicate paper results, explore new training ideas, run and monitor…
Track and visualize ML training experiments with Trackio.
Annotate VCF variants with Ensembl VEP, ClinVar, and gnomAD.
Create publication-quality figures that meet journal submission standards.
Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, and artifact versioning.
Wannier90 skill for maximally localized Wannier functions and tight-binding model construction
Deploy and run ML experiments on local, remote, Vast.ai, or Modal serverless GPU.
Work sampling analysis skill for activity distribution and utilization studies.
Technical sub-skill of Yann LeCun. Covers CNNs, LeNet, backpropagation, JEPA (I-JEPA, V-JEPA, MC-JEPA), AMI (Advanced Machinery of...