Core Francisco Park
Ph.D. Candidate at Harvard Physics
corefranciscopark@g.harvard.edu
Cambridge, MA, USA
Blog and life not ready yet
Hi! I’m Core Francisco Park (pronounced Corae), I am a 5th 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.
I do things outside of work: see the life tab .
Feel free to ask me anything!
-Core
latest news
Mar 20, 2024 | Our follow up paper of our project vdm4cdm_2d is on arxiv. |
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Mar 07, 2024 | I gave a talk about our project vdm4cdm_2d at the ITC Luncheon: “Debiasing with Diffusion: Probabilistic reconstruction of Dark Matter field from galaxies” |
Jan 23, 2024 | I gave a quick presentation of our project vdm4cdm_3d on using Diffusion Models to generate dark matter fields at the workshop “AI-driven Discovery in Physics and Astrophysics” at Kavli IPMU. |
Dec 09, 2023 | I will be presenting two works at NeurIPS 2023 Workshops:
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Dec 05, 2023 | Our work tracking individual neurons in C.elegans using synthetically augmented data is published in Nature Methods. |