To learn things systematiclly, here is a to do list for myself organized by topics

#Bioinformatcis

1. fa and gfa data format

1. WashU Browser

1. Stanford CS224W (Machine Learning with Graphs) → practice with PyTorch Geometric

1. Do HuggingFace course → learn Transformers & sequence modeling (https://huggingface.co/learn/llm-course/chapter1/1)

2. HPC at univeristy

HPC Storage Summer School S^3

Introduction to AlphaFold 09.09.25 09:00-13:00 https://academy.gwdg.de/p/event.xhtml?id=68263d79298a9177e714d861
Effectively Utilize AI Tools in Research 15.09.25 09:00-12:00 https://academy.gwdg.de/p/event.xhtml?id=68264957298a9177e714d87b
Deep Learning Bootcamp: Building and Deploying AI Models 16.-17.09.25 14:30-16:30 https://academy.gwdg.de/p/event.xhtml?id=68263ed1298a9177e714d864
Deep Learning with GPU Cores 18.09.25 09:30-13:00 https://academy.gwdg.de/p/event.xhtml?id=68263caa298a9177e714d860

#Manuscript

1. LaTeX syntax for quick start

#Porjects

Localfinder

  1. Finish fig. 1

Genome assembly

  1. Study the evolution of chromosomes