- Hilbert Space
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10:35
(UTC +02:00) - https://orcid.org/0000-0002-9596-8908
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Fast genomics quality control tools for sequencing data, written in Rust.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Interactive Pytorch forward pass visualization in notebooks
Permutect, an incredibly efficient deep learning architecture for somatic and germline variant calling
Introduction to Computational Biology and Bioinformatics Course at Caltech, 2026
🔗 Source code of my homepage build with {blogdown}, HUGO and Netlify
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
A unified framework for machine learning with time series
An efficient CLI to extract sequences from the SRA
ClairS-TO - a deep-learning method for tumor-only somatic variant calling
A modern resume template written in Typst, inspired by Awesome-CV
Download sequencing data and metadata from GSA, SRA, ENA, and DDBJ databases.
Visualizer for neural network, deep learning and machine learning models
A Snakemake pipeline developed to quantify isoforms expression levels in large RNA-seq datasets and find poly-A sites
Publication-quality network visualisations in python
A visualization grammar and GPU-accelerated toolkit for genomic data
Benchmarks for classification of genomic sequences
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
[Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. Kullback-Leibler). Application to the Choquet integral.
Interactive lessons in bioinformatics.