Michael Schubert

@ms01.bsky.social

Combining computational biology 🧬💻 with outdoor sports in 📍 Innsbruck, Austria • Previously Netherlands Cancer Institute, PhD at EMBL-EBI/Cambridge • 🔗 https://github.com/mschubert

📣 We're #hiring a #PhD student! - Innsbruck - computational - 3 years - fully funded - Deadline: Feb 11th 💼 Project: scRNA-seq analysis on in-house developed cancer atlases 🔍 Looking for: experience in cancer and R/Python 🗓️ Until Feb 11th to bewerbung@i-med.ac.at quoting MEDI-20369

I can confirm the experience: Using Codex for areas with little experience, LLM code assistants are a game changer. But even in areas close to my expertise, they speed up drafting a lot. For now, I am reviewing changes line by line in either case.

Hadley Wickham@hadley.nz · 7mo ago

I have found claude code tremendously empowering for working in areas where I have little experience. Yes, these are somewhat vibe coded (they are low stakes) but they do have unit tests, and it turns out that I can mostly understand go and swift code with little effort.