Core Francisco Park

Hi! I’m Core Francisco Park (pronounced Corae), I am a 5^th year graduate student at Harvard Physics.

I work on developping robust, reliable and deployable ML tools and methods for the physical sciences. I define robust, reliable and deployable in a more specific way than “good” or “well performing”:

• Robustness: The model is expected to work when some assumptions of the data are not met. Out-of-distribution generalization in method-space.
• Reliable: Different sanity checks on the model has been done, and one can estimate the undertainty from the outputs.
• Deployable: The model ends up getting used and is not just a project you would archive after publishing.

Of course, these are goals which I think through and try to achieve.

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 very theoretical studies to very practical studies.

Feel free to ask me anything!

-Core