Core Francisco Park

Hi! I’m Core Francisco Park (pronounced Corae), I am a 6^th year graduate student at Harvard Physics.

Currently, I work on understanding AI systems using carefully designed experiments. For the last few month I’ve been running experiments with synthetic data to understand compositional generalization and in-context learning.

In the past, I worked on developing reliable and deployable ML tools and methods for the physical sciences. I define reliable and deployable in a more specific way than “good accuracy”:

• Reliable: The model should allow an uncertainty estimate.
• Deployable: The model should end up actually getting used instead of being archived after publication.

Given these principles, I worked on different real data problems with ML and statistics, ranging from studies of a brain smaller than a grain of salt to cosmic volumes and from theoretical studies to practical ones.

Feel free to ask me anything! -Core