Building ML Tools Scientists Will Actually Use
Kemal The Gap Between Models and Tools I’ve seen a lot of impressive ML models in biopharma that never get used. Not because the science is wrong, but because the tool…
January 2026
What Makes an Antibody Hard to Manufacture? Data-Driven Insights
The Features That Matter After training the developability model on 100+ therapeutic antibodies, I looked at the feature importance rankings. The model had learned to weight certain properties more heavily…
Case Study: Predicting Trastuzumab Developability
Why Trastuzumab Is the Perfect Test Case When I built my antibody developability predictor, I knew I needed to validate it against a molecule where we actually know the manufacturing…
How I Built a Machine Learning Tool to Predict Drug Manufacturing Failures
A bioprocess engineer’s journey into machine learning and why the pharmaceutical industry desperately needs this bridge When I tell people I work in bioprocess engineering, I usually get blank stares.…
What AI Product Leadership Actually Means in Life Science R&D
There’s a specific kind of tension that defines working at the intersection of artificial intelligence and regulated discovery science. It’s not technical. It’s not about model architecture or compute budgets.…
AI Brain Demo For Fun
I Built a Game Where You Can Watch AI Think (And It’s Weirdly Satisfying) You know that feeling when you’re trying to learn something new and the teacher just says…