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Report abuseGenomics × AI · Agentic systems · Research engineering
Working at the intersection of population genomics and artificial intelligence, I develop computational methods to uncover signals of human evolutionary history—and agentic systems that make complex bioinformatics research scalable, rigorous, and reproducible.
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Mamba-based detection of Neanderthal and Denisovan introgression segments in modern human genomes, designed for large-scale multi-GPU analysis. Population Genomics Mamba PyTorch |
🕸️ LATTICEA layered, tool-augmented agent system that turns bioinformatics requests into verifiable, executable, auditable, and evolving workflows. Agents Knowledge Graphs Bioinformatics |
✨ AtriaA desktop-first HTML artifact workspace for collecting, annotating, organizing, and reusing AI-generated coding and research outputs—with MCP-native agent access. Tauri React TypeScript MCP |
A DeepSeek Harness plugin that turns follow-ups on any past answer into isolated, read-only conversation branches—keeping the main task focused while preserving the context behind each question. DeepSeek Harness TypeScript Conversation Trees |
Curious about genomes. Building tools that help researchers move from ideas to evidence.
Forked from Shuhua-Group/ArchaicSeeker3.0
A Mamba-Based Algorithm for Archaic Introgression Detection
Python
A deterministic Agent Skill for presenting immutable Markdown as a polished, self-contained HTML reading view.
Python 2
Branch from any answer and keep branching at any depth. Recursively isolated follow-ups that leave the main DSH task untouched.
TypeScript 16
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