Making genetic prediction models more inclusive
MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.
Caroline Uhler named SIAM Fellow for 2023
In the award announcement, SIAM noted that Uhler is being honored for her “fundamental contributions at the interface of statistics, machine learning, and biology”.
With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.