What happens when a bioreactor engineer points his state-estimation toolkit at football. Model90 is a statistical forecasting engine for the 2026 World Cup and the major leagues, built on Dixon-Coles Poisson, Elo, xG and a calibrated meta-model. An honest look at how it works and what its Brier score really means.
A Python CLI tool that strips background noise from any video file using ML denoisers — while copying the video stream byte-for-byte. A 6 GB 4K file processes in minutes instead of hours.
A small, cracker-themed block puzzle I cloned and polished for my four-year-old — built in plain vanilla JavaScript with synthesised audio, a Three.js bloom backdrop, and a deliberately forgiving combo system. Free to play, open source on GitHub.
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.
There’s a thing that happens in a tissue culture lab that I’ve never quite gotten used to, even after years of doing it. You pull a sample from a flask or a bioreactor, you load it onto a counting chamber, you put your eye to the microscope, and then you spend the next several minutes… Read More: The bench problem that wouldn’t go away »
The Corpus Clock sits at the corner of Corpus Christi College, Cambridge. Unveiled in 2008 by Stephen Hawking, it was designed by inventor John C. Taylor as a meditation on time’s relentless consumption of life. A giant golden insectoid sculpture — the Chronophage (from the Greek chronos, time, and ephagon, I ate) — crouches atop the clock face, its jaw mechanically… Read More: Simulating the Corpus Clock: A Hybrid Dynamical Systems Model of… »
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… »
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. When I explain that I help manufacture proteins in giant tanks for therapeutic use, the response is often: “Oh, like brewing beer?” Not quite. But… Read More: How I Built a Machine Learning Tool to Predict Drug… »
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. It’s about the gap between what a model can do and what a scientist will trust enough to use AI product leadership in biopharma R&D… Read More: What AI Product Leadership Actually Means in Life Science R&D »
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 “trust me, it works”? Yeah, I hate that too. So I built a game that does the opposite. It’s a little AI agent learning to… Read More: AI Brain Demo For Fun »