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Core Francisco Park
Postdoctoral Fellow, Harvard University (May 2025 - Present)
Ph.D. in Physics, Harvard University (2025)
Thesis: Deep Learning as a Scientific Tool and a Model Organism of Intelligence
Contact
Email: corefranciscopark@g.harvard.edu
Location: Cambridge, MA
Education
- Ph.D. Physics, Harvard University, 2019-2025
- B.S. Physics, KAIST, 2015-2019, Summa Cum Laude, GPA: 4.08/4.3
Research Interests
- Machine Learning: In-Context Learning, Compositional Generalization, Diffusion Models
- Astrophysics: Cosmology, Dark Matter Reconstruction, Bayesian Inference
- Neuroscience: Whole-Brain Imaging, Connectomics, Neural Tracking
- Mechanistic Understanding of AI Systems
Selected Publications
- Park, C.F.* et al. (2025). "Decomposing Elements of Problem Solving: What 'Math' Does RL Teach?" preprint
- Park, C.F.*, Zhang, Z.*, Tanaka, H. (2025). "New News: System-2 Fine-tuning for Robust Integration of New Knowledge" preprint
- Park, C.F.*, Lubana, E.S.*, Tanaka, H. (2025). "Competition Dynamics Shape Algorithmic Phases of In-Context Learning" ICLR 2025 (Spotlight)
- Park, C.F.* et al. (2025). "ICLR: In-Context Learning of Representations" ICLR 2025
- Yang, Y.*, Park, C.F. et al. (2025). "Swing-by Dynamics in Concept Learning and Compositional Generalization" ICLR 2025
- Park, C.F.*, Okawa, M.* et al. (2024). "Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space" NeurIPS 2024 (Spotlight)
- Park, C.F.* et al. (2024). "Automated neuron tracking inside moving and deforming animals using deep learning" Nature Methods
- Meirovitch, Y.*, Park, C.F.* et al. (2025). "SmartEM: machine-learning guided electron microscopy" Nature Methods (accepted)
- Ono, V.*, Park, C.F. et al. (2024). "Debiasing with Diffusion: Probabilistic reconstruction of Dark Matter fields" Astrophysical Journal
- Park, C.F.* et al. (2023). "Quantification of high dimensional non-Gaussianities" Astrophysical Journal
- Susoy, V.* et al. (2021). "Natural sensory context drives diverse brain-wide activity during C. elegans mating" Cell
(* denotes first author)
Links
Google Scholar
GitHub
arXiv
Download CV (PDF)
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