A reproducible, cloud-scale reanalysis of five peer-reviewed studies on cellular aging, reprogramming, and rejuvenation, and an honest account of what survived contact with a shared pipeline.
The headlines led with a 22,000-litre tank and a 99% cost drop. Here is a bioreactor engineer’s read on what Parima and Vow actually proved, why the media breakthrough matters more than the vessel, and the quiet shift that turned cultivated meat into a fermentation problem.
UPSIDE Foods has bid $50 million for Believer Meats’ North Carolina plant. The interesting question isn’t the price — it’s which parts of a dead cultivated-meat company are actually worth buying: the steel, the biology, or the process intelligence.
Single-cell RNA sequencing is one of those techniques that generates a huge amount of data and then demands a huge amount of effort to interpret it. You run the sequencer, get a matrix of 20,000 genes by several thousand cells, and then spend the next several days (or weeks) figuring out what’s in there. I… Read More: I Built a Single-Cell RNA-seq Pipeline That Writes Its Own… »
I rebuilt two published CHO cell-culture papers — a hybrid ODE + machine-learning growth model, and a genome-scale metabolic reduction pipeline — as an interactive digital twin that runs in the browser. Here’s how it works, what’s under the hood, and an honest take on what it’s good for. No hosted version yet; the code is on GitHub and a live instance is coming soon.
The Every Company and Onego Bio are now fighting over recombinant ovalbumin in courts on two continents. The way this case resolves will shape how broadly IP rights can be enforced in precision fermentation, and what that means for the rest of us building this industry.
If you’ve ever read a paper on lysine production with Corynebacterium glutamicum and thought “right, but what do I actually do on Monday morning when I’m standing in front of the bioreactor” — this post is for you. I’m going to walk through the entire process of setting up and running a 5L bench-scale fed-batch… Read More: Running a 5-Litre Lysine Fermentation From Scratch. Everything Nobody Tells… »
Look, I’ll be honest. For years I ran bioreactors the way most of us do: set your temperature, set your pH, watch the DO trace, take a sample every few hours, and hope for the best. You tweak the feed rate because “it feels right.” You crank up the stirrer because the DO is dropping.… Read More: Why I Stopped Trusting My Gut (and Started Trusting My… »
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 doesn’t fit into anyone’s workflow. The model might be published in Nature Methods with beautiful receiver operating characteristic curves, but if a discovery scientist can’t… Read More: Building ML Tools Scientists Will Actually Use »
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 than others when making predictions. Some of these were obvious. Some were surprising. All of them tell us something about what actually makes antibodies difficult… Read More: What Makes an Antibody Hard to Manufacture? Data-Driven Insights »