Picking a scientific problem is like picking a hiking trail with a friend who knows the mountains. You bring the map-making skills (embeddings, baselines, evaluation); they bring the terrain (the enzyme family they care about, the organisms in their freezer, the assays they can run). The best trail sits where your feasibility and their interest overlap, which is exactly Uri Alon's chart from week 0. This week you se…
If you only do one thing this week: the partner call booked
Yang, Wu & Arnold (2019), "Machine-learning-guided directed evolution for protein engineering"
Saturday sandbox
Yang, Wu & Arnold (2019), "Machine-learning-guided directed evolution for protein engineering", Nature Methods 16:687-694. The classic review; read it before week 21
By Sunday you should be able to say: “I can explain what my baseline predicts, how well, and why the partner's lab is the only way to know if it matters.”