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Basics
Name | Core Francisco Park (박고래프란츠) |
Position | PhD Candidate |
Affiliation | Department of Physics, Harvard University |
corefranciscopark@g.harvard.edu | |
Website | https://cfpark00.github.io |
Summary | I build robust, reliable and deployable ML tools and methods for various problems in the physical sciences. |
Education
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2019.09 - Present Cambridge, MA
Ph.D. Candidate
Department of Physics, Harvard University
Machine Learning for the Physical Sciences
- Advisors: Aravinthan Samuel, Douglas Finkbeiner, Cecilia Garraffo
- GPA: 3.95/4.0
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2019.03 - 2019.08 Seoul, South Korea
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2017.09 - 2018.01 Palaiseau, France
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2015.03 - 2019.02 Daejeon, South Korea
Bachelor of Science
Department of Physics, Korea Advanced Institute of Science and Technology
Major in Physics, Self-Designed Minor
- Summa Cum Laude, GPA: 4.08/4.3
- Advisors: Jonghee Yoo, Hawoong Jeong
- Focus: Astro-Particle Physics, Computational Physics
- Thesis: "Real time DAQ setup and dead-time measurement for CAPP 18T Dark Matter Axion search and its first results"
Interests
Machine Learning | |
Deep Learning | |
Probabilistic Models | |
Uncertainty Quantification |
Astrophysics | |
Cosmology | |
Image Space Statistics | |
Deep Learning | |
Bayesian Inference | |
Fourier Analysis |
Neuroscience | |
Whole-Brain Imaging | |
Connectommics | |
Practical Machine Learning | |
Real Time Machine Learning |
Mechanistic Understanding of ML | |
Compositional Generalization | |
Diffusion Models |
Projects
- 2024.02 - Present
Understanding Emergence of Capabilities in Deep Learning
- Emergence
- Compositional Generalization
- Diffusion Models
- Collaborators: Maya Okawa, Ekdeep Singh Lubana, Andrew Lee, Hidenori Tanaka
- 2023.09 - Present
Emulating the Structure of the Universe using Diffusion Models
- Large Scale Structure Emulation
- Probabilistic Debiasing
- Probabilistic Completion
- Collaborators: Carolina Cuesta-Lazaro, Victoria Ono, Yueying Ni, Nayantara Mudur, Francisco Villaescusa-Navarro, Douglas Finkbeiner
- 2023.09 - Present
Hyperspectral Machine Learning for Tackling Climate Change
- MethaneSAT Cloud Detection
- MethaneSAT Shadow Correction
- Collaborators: Cecilia Garraffo, Maya Nasr, Douglas Finkbeiner, Steven Wofsy
- 2022.10 - Present
Machine Learning Driven Accelerated Connectomics
- SmartEM: Real Time ML driven Electron Microscopy Acquisition
- VAE EM Compressor
- Collaborators: Yaron Meirovitch, Ishaan Chandok, Aravinthan Samuel, Jeff Lichtman
- 2021.04 - 2023.05
Whole Brain Imaging
- Neural Imaging of C.elegans Thermotaxis
- Neural Imaging of C.elegans Mating Behavior
- Collaborators: Vladislav Susoy, Helena Casademunt, Aravinthan Samuel
- 2020.09 - 2022.10
Astro-statistics
- Quantifying the validity of high–dimensional statistics
- Estimating correlations of Large Scale structure and galactic dustmaps:
- Fourier space sparse Wavelet Scattering Transform on the GPU
- Collaborators: Nayantara Mudur, Douglas Finkbeiner, Erwan Allys, Francisco Villaescusa-Navarro
- 2020.08 - 2022.03
3D Tracking for Confocal Microscopy data
- Tracking neurons in a moving and deforming brain
- Human Interfacing Deep Learning
- Automatic Synthetic Data Generation
- Collaborators: Sahand Rahi, Mahsa Barzegar-Keshteli, Vladislav Susoy, Aravinthan Samuel
- 2018.06 - 2019.02
Axion Dark Matter Search
- Real-time DAQ system for the CAPP18T Axion Dark Matter Experiment
- Collaborators: Kangheun Kim, Jonghee Yoo
Publications
Significant contribution
Secondary contribution
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2024.07.08 EM-Compressor: Electron Microscopy Image Compression in Connectomics with Variational Autoencoders
[Y. Li], C.F. Park, D. Xenes, C. Bishop, D.R. Berger, A.D.T. Samuel, B. Wester, J.W. Lichtman, H. Pfister, W. Li, Y. Meirovitch
preprint
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2024.06.27 Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
[C.F. Park], [M. Okawa], A. Lee, E.S. Lubana, H. Tanaka
preprint
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2024.05.25 3D Reconstruction of Dark Matter Fields with Diffusion Models: Towards Application to Galaxy Surveys
[C.F. Park], N. Mudur, C. Cuesta-Lazaro, Y. Ni, V. Ono, D.P. Finkbeiner
preprint
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2024.03 Debiasing with Diffusion: Probabilistic reconstruction of Dark Matter fields from galaxies with CAMELS
[V. Ono], [C.F. Park], N. Mudur, Y. Ni, C. Cuesta-Lazaro, F. Villaescusa-Navarro
arxiv
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2024.01 Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation
[C.F. Park], [M.B. Keshteli], K. Korchagina, A. Delrocq, V. Susoy, C.L. Jones, A.D.T. Samuel, S.J. Rahi
Nature Methods
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2023.12.24 Hyperspectral shadow removal with iterative logistic regression and latent Parametric Linear Combination of Gaussians
[C.F. Park], M. Nasr, M. Pérez-Carrasco, E. Walker, D. Finkbeiner, C. Garraffo
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning
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2023.11.14 Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models
[C.F. Park], [V. Ono], C. Cuesta-Lazaro, Y. Ni, N. Mudur
NeurIPS 2023 Workshop on Machine Learning and the Physical Sciences
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2023.10 SmartEM: machine-learning guided electron microscopy
[Y. Meirovitch], [C.F. Park], [L. Mi], [P. Potocek], S. Sawmya, Y. Li, Y. Wu, R. Schalek, H. Pfister, R. Schoenmakers, M. Peemen, J.W. Lichtman, A.D.T. Samuel, N. Shavit
bioarxiv
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2023.06 mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops
[E.C. Pavarino], [E. Yang], N. Dhanyasi, M. Wang, F. Bidel, X. Lu, F. Yang, C.F. Park, M.B. Renuka, B. Drescher, A.D.T. Samuel, B. Hochner, P.S. Katz, M. Zhen, J.W. Lichtman, Y. Meirovitch
Frontiers in Neural Circuits
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2023.05 Stellar Reddening Based Extinction Maps for Cosmological Applications
[N. Mudur], C.F. Park, D.P. Finkbeiner
The Astrophysical Journal
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2023.04 Quantification of high dimensional non–Gaussianities and its implication to Fisher analysis in cosmology
[C.F. Park], E. Allys, F. Villaescusa-Navarro, D.P. Finkbeiner
The Astrophysical Journal
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2021.10 Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework
[L. Mi], [T. He], C.F. Park, H. Wang, Y. Wang, N. Shavit
arxiv
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2021.09 Natural sensory context drives diverse brain-wide activity during C. elegans mating
[V. Susoy], W. Hung, D. Witvliet, J.E. Whitener, M. Wu, C.F. Park, B.J. Graham, M. Zhen, V. Venkatachalam, A.D.T. Samuel
Cell
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2018.12 Real time DAQ setup and dead-time measurement for CAPP 18T Dark Matter Axion Search and its first results
[C.F. Park]
B.S. Thesis
Presentations
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2024.07.26 Poster
3D Reconstruction of Dark Matter Fields with Diffusion Models: Towards Application to Galaxy Surveys
ICML 2024 Workshop AI for Science, Vienna
Poster
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2024.07.26 Poster
Hidden Learning Dynamics of Capability before Behavior in Diffusion Models
ICML 2024 Workshop on High-Dimensional Learning Dynamics, Vienna
Poster
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2024.07.02 Talk
Probabilistic Completion of Astrophysical Fields for Robust Statistics with Diffusion Models
EAS 2024, Padova
Slides
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2024.06.20 Talk
3D probabilistic reconstruction of the local dark matter from galaxies
Astro AI Workshop 2024, Center for Astrophysics
Slides
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2024.03.07 Talk
Debiasing with Diffusion: Probabilistic reconstruction of Dark Matter fields from galaxies
ITC Lucheon, Center for Astrophysics
Slides
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2024.01.23 Quick Talk
Reconstruction of the local dark matter using diffusion models
Workshop on AI-driven Discovery in Physics and Astrophysics at Kavli IPMU
Slides
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2023.10.30 Talk
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2023.10.13 Talk
How is AI used in the Physical Sciences?
Hansung Science High School Mentoring Talk at Harvard University
Slides
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2023.09.20 Quick Talk
Mstar2Mcdm using Diffusion Models: Generating Cold Dark Matter density fields conditioned on stellar mass fields using Denoising Diffusion Probabilistic Models
Camels Virtual Telecoms hosted by the Flatiron Institute
Slides
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2023.06.23 Poster
Freely Moving Whole Brain Imaging of C. elegans under a thermal stimulus
International C.elegans conference 2023
Poster
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2023.03.10 Poster
Automated neuron tracking inside moving and deforming animals using deep learning and targeted augmentation
COSYNE 2023
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2023.03.06 Talk
Automated neuron tracking using deep learning and targeted augmentation allows fast collection of C. elegans whole brain calcium activity during behavior
American Physical Society March Meeting 2023
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2022.06.09 Talk
On the Gaussianity of Non-Gaussian probes of Large Scale Structure
American Astronomical Society 240
Slides
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2022.05.06 Poster
From sensing to behavior, biological information processing in C. elegans
Citadel Ph.D. Summit 2022
Poster
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2018.12.09 Talk
Dark Matter Axion Search Experiment using 18T HTS Magnet
Stockholm International Youth Science Seminar 2018
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2018.10.25 Poster
Data acquisition system for dark matter Axion search experiment using 18 T HTS magnet at CAPP/IBS
Korean Physical Society Meeting 2018
Reviewer
- 2024.02
ICLR 2024 Workshop on Tackling Climate Change with Machine Learning
Scholarships
- 2019.09
Purcell Fellowship
Harvard University
- 2019.02
Doctoral Study Abroad Scholarship
Korea Foundation for Advanced Studies
- 2018.03
Physics Department Honorary Scholarship
KAIST
- 2017.02
Undergraduate Student Scholarship
Korea Foundation for Advanced Studies
- 2015.02
Korea Presidential Science Scholarship
KOSAF
- 2015.02
Full Tuition Scholarship
Korea Foundation for Advanced Studies
Awards
- 2023.12
2nd Place in Citadel Datathon
Citadel Securities and Correlation One
Project: Enhancing analysis and prediction of A/B tests with Bayesian posteriors of the click probability.
Report
- 2019.06
Best Project Award at the 10th KIAS CAC Summer school on Scientific Computing & Artificial Intelligence
Korea Institute for Advanced Study
Project: Machine learning for text style analysis and audio composition.
- 2019.02
Summa Cum Laude
Korea Advanced Institute of Science and Technology
- 2018.12
Best Project Award, KIAS-SNU Physics Winter Camp
Korea Institute for Advanced Study
Project: Can gravitationally biased QCD dipoles explain the early growth of supermassive black holes?
- 2017.06
KAIST Physics Dean’s List
Korea Advanced Institute of Science and Technology
- 2016.12
Best Buddy Award
KAIST International Office
Best contribution to the buddy program, helping the acclimatization of international students to Korean culture and university life.
- 2015.12
Dean’s List
Korea Advanced Institute of Science and Technology
- 2015.06
Dean’s List
Korea Advanced Institute of Science and Technology
Extracurricular
- 2022.08
KITP Neurophysics of Locomotion School
Summer Student
Project: Optogenetic control of haltere motion during flight in Drosophila.
- 2019.07
APCTP-POSTECH Biophysics School
Summer Student
- 2018.12
KIAS-SNU Physics Winter Camp
Summer Student
- 2018.12
Stockholm International Youth Science Seminar
Representative of South Korea
Presentation: Real time DAQ system for Axion Dark Matter Search.
- 2018.07
APCTP-NIMS-KISTI-KASI Summer School on Numerical Relativity
Summer Student
- 2018.06
APCTP-POSTECH Biophysics School
Summer Student
- 2017.11
KAIST International Discovery Program
Team Leader
Proposal: Visit to TUM's astrophysics and particle physics laboratory.
- 2014.09
Asian Science Camp
Representative of South Korea
- 2013.06
Molecular Frontiers Symposium
School Representative
Teaching
- 2022.01
Physics as a Foundation for Science and Engineering
Teaching Fellow at Harvard University
- 2021.09
Physics of Sensory systems
Teaching Fellow at Harvard University
- 2019.03
Physics Lab I
Teaching Assistant / Lab Instructor at Seoul National University
- 2018.09
General Physics 2
Tutor at KAIST
- 2018.03
General Physics 1
Tutor at KAIST
- 2017.03
General Physics 1
Tutor at KAIST
- 2016.09
General Physics 2
Tutor at KAIST
- 2016.03
General Physics 1
Tutor at KAIST
Skills
Computational Methods | |
GPU and CUDA computation | |
Fourier Analysis | |
Time Series Analysis | |
Bayesian Inference | |
Parallel Computing | |
Human-Computer Interfacing |
ML/AI | |
Diffusion Models | |
Convolutional Neural Networks | |
Statistical Machine Learning | |
Interfacing Foundation Models | |
Prompting |
Experimental | |
Real Time DAQ | |
Real Time Hardware Control | |
PID Control | |
Basic Optics | |
Microscopy |
Programming Languages | |
Python (native speaker) | |
Julia (fluent) | |
LabVIEW (fluent) | |
Matlab (fluent) | |
Web Stuff (intermediate) | |
Java (basic) | |
C/C++ (basic) |
Languages
English | |
Native speaker |
Korean | |
Native speaker |
French | |
(was a) Fluent speaker |
Spanish | |
Beginner |
Japanese | |
Beginner |
References
Aravinthan Samuel | |
samuel@g.harvard.edu Research Advisor for Neuroscience Projects |
Douglas Finkbeiner | |
dfinkbeiner@cfa.harvard.edu Research Advisor for Astrophysics Projects |
Cecilia Garraffo | |
cgarraffo@cfa.harvard.edu Research Advisor for AstroAI and EarthAI projects |
Sahand Rahi | |
sahand.rahi@epfl.ch Research Advisor for targettrack |
Francisco Villaescusa-Navarro | |
fvillaescusa@flatironinstitute.org Collaborator on vdm4cdm |
Yaron Meirovitch | |
yaronmr@fas.harvard.edu Collaborator on SmartEM |
Carolina Cuesta-Lazaro | |
carolina.cuesta-lazaro@cfa.harvard.edu Collaborator on vdm4cdm |
Daniel Eisenstein | |
deisenstein@cfa.harvard.edu Past Research Advisor in Cosmology |
Jonghee Yoo | |
yoo.jonghee@kaist.ac.kr Undergraduate Research Advisor |
Hawoong Jeong | |
hjeong@kaist.edu Undergraduate Academic Advisor |