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Core Francisco Park

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

Research Interests

Selected Publications

  1. Park, C.F.* et al. (2025). "Decomposing Elements of Problem Solving: What 'Math' Does RL Teach?" preprint
  2. Park, C.F.*, Zhang, Z.*, Tanaka, H. (2025). "New News: System-2 Fine-tuning for Robust Integration of New Knowledge" preprint
  3. Park, C.F.*, Lubana, E.S.*, Tanaka, H. (2025). "Competition Dynamics Shape Algorithmic Phases of In-Context Learning" ICLR 2025 (Spotlight)
  4. Park, C.F.* et al. (2025). "ICLR: In-Context Learning of Representations" ICLR 2025
  5. Yang, Y.*, Park, C.F. et al. (2025). "Swing-by Dynamics in Concept Learning and Compositional Generalization" ICLR 2025
  6. Park, C.F.*, Okawa, M.* et al. (2024). "Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space" NeurIPS 2024 (Spotlight)
  7. Park, C.F.* et al. (2024). "Automated neuron tracking inside moving and deforming animals using deep learning" Nature Methods
  8. Meirovitch, Y.*, Park, C.F.* et al. (2025). "SmartEM: machine-learning guided electron microscopy" Nature Methods (accepted)
  9. Ono, V.*, Park, C.F. et al. (2024). "Debiasing with Diffusion: Probabilistic reconstruction of Dark Matter fields" Astrophysical Journal
  10. Park, C.F.* et al. (2023). "Quantification of high dimensional non-Gaussianities" Astrophysical Journal
  11. 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)


Okay fine, good academics can have fancy websites...