Equally passionate about football and dataframes? Endlessly curious? Motivated by team success? We’re hiring a Football Data Analyst with the Colts, and I’d love to hear from you. https://t.co/eWYGKy7n0W
The Indianapolis Colts are hiring for the next batch of Harriet P. Irsay fellows! Analysts are especially encouraged to apply. Reach out to me with any questions. Learn more and apply here: https://t.co/ke9tml7smA
Colts announced they hired Lauren James as a fellow to work in football analytics.
James previously interned for the 49ers and Pacers and was a 2024 Big Data Bowl honorable mention for this entry: https://t.co/5DfVulwrPG
At a tiny conference in Italy in 2011, a buzz started going around one afternoon: Bill Catterall had solved a voltage gated sodium channel structure, and he was going to share the structure publicly for the first time. (1/x)
When all I could see was my project come to an end, Bill only saw new questions. This was the beauty of science: new findings lead to new questions which lead to new findings. He didn’t have answers, he insisted, but evidence that needed to interrogated, *especially* with theory.
I wonder to what extent the growing fetishization of translational and applied research is just an end-of-history illusion: the inability to imagine that there are things we don't understand leading to the idea that we simply need to try harder to apply what we think we know
@johncole1 I worry about the long-term stability of these tools for this very reason. As more and more online content inevitably becomes AI-generated, if we are unable to reliably determine artificial information, AI will be producing its own training set, thereby baking in its own biases.