“Most assays don’t fail because they’re wrong… they fail because they’re fragile.”


This time, Markus Gershater and Phil Kay sat down with Rob Howes (Head of Biology & DMPK at Charles River) to unpack what REALLY happens when you scale biology - and why most teams underestimate how quickly things fall apart.


Rob’s been working with multi-dimensional experimentation since the early 2000s (back when most of us were still painfully tweaking one variable at a time). And the contrast is pretty stark:


Some standout lines:

🔹 “We used to optimise for the highest signal. Now we optimise for something that won’t break.”

🔹 “If your data isn’t high quality, your AI model won’t be either. Garbage in, just faster garbage out.”

🔹 “Why run every experiment, if you can predict most of them?”


Podden och tillhörande omslagsbild på den här sidan tillhör The Next Experiment. Innehållet i podden är skapat av The Next Experiment och inte av, eller tillsammans med, Poddtoppen.