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Ji Won Park
499 posts
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Ji Won Park
@jiwoncpark
Principal ML Scientist at @Genentech @PrescientDesign. Bayesian optimization, Bayesian inference.
San Francisco Bay Area
jiwoncpark.github.io
Joined January 2014
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  • Pinned
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    Ji Won Park
    @jiwoncpark
    Mar 18
    I'm hiring a postdoc at Prescient Design, @genentech, to work on scalable experimental design for scientific discovery! Strong theory background and interest in practical algorithms encouraged. Apply here: tinyurl.com/2hxyvnvc
    11K
  • user avatar
    Ji Won Park
    @jiwoncpark
    Jan 4, 2024
    We are hiring! Apply to our summer ML internship at the beautiful Genentech campus in South San Francisco: shorturl.at/zPR17 🧵 1/5
    43K
  • user avatar
    Ji Won Park
    @jiwoncpark
    Nov 17, 2022
    Paper alert🚨 Proteins are my new dark energy, but my latest paper employs hierarchical Bayesian inference, importance sampling, deep sets – all methods close to my heart! 🧵
    arXiv logo
    arxiv.org
    Hierarchical Inference of the Lensing Convergence from Photometric...
    We present a Bayesian graph neural network (BGNN) that can estimate the weak lensing convergence ($κ$) from photometric measurements of galaxies along a given line of sight. The method is of...
  • user avatar
    Ji Won Park
    @jiwoncpark
    May 1, 2023
    Paper alert🚨 We apply latent stochastic differential equations (SDEs) to model the time variability of extreme astronomical objects called active galactic nuclei (AGN). Check out our spotlight at #ICLR2023 #Physics4ML ! 🧵
    arXiv logo
    arxiv.org
    Latent Stochastic Differential Equations for Modeling Quasar...
    Quasars are bright and unobscured active galactic nuclei (AGN) thought to be powered by the accretion of matter around supermassive black holes at the centers of galaxies. The temporal variability...
    19K
  • user avatar
    Ji Won Park
    @jiwoncpark
    Oct 11, 2022
    We are excited to present PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design! 🧵
    arXiv logo
    arxiv.org
    PropertyDAG: Multi-objective Bayesian optimization of partially...
    Bayesian optimization offers a sample-efficient framework for navigating the exploration-exploitation trade-off in the vast design space of biological sequences. Whereas it is possible to optimize...
  • user avatar
    Ji Won Park
    @jiwoncpark
    Oct 21, 2022
    PropertyDAG has been accepted to this year's NeurIPS @AI_for_Science !
    user avatar
    Ji Won Park
    @jiwoncpark
    Oct 11, 2022
    We are excited to present PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design! 🧵 arxiv.org/abs/2210.04096
  • user avatar
    Ji Won Park
    @jiwoncpark
    Feb 28, 2024
    If you're at #SIAMUQ24, come to my talk on BOtied 🎀, a new CDF-based acquisition function for multi-objective BayesOpt (feat. copulas, tails) in MS226 (Fri 5-7pm)! tinyurl.com/34a6x3sd joint work with @tagasovska @stephenrra @kchonyc
    4.8K
  • user avatar
    Ji Won Park
    @jiwoncpark
    Sep 21, 2022
    Yesss come talk to us! #GHC22
    Image
    user avatar
    Kyunghyun Cho
    @kchonyc
    Sep 21, 2022
    @PrescientDesign is at the @genentech booth in #GHC22 come stop by to hear about biotech, AI and how to help people!
  • user avatar
    Ji Won Park
    @jiwoncpark
    Oct 11, 2022
    Replying to @jiwoncpark
    Shout-out to my wonderful collaborators @samuel_stanton_ Saeed Saremi @amw_stanford @HenriDwyer @GligorijevicV @RichBonneauNYU @stephenrra @kchonyc here at @PrescientDesign @genentech @Roche (Come work with us!)
  • user avatar
    Ji Won Park
    @jiwoncpark
    Jan 4, 2024
    Replying to @jiwoncpark
    You will join me, @m_kirchmeyer, and the @PrescientDesign, Genentech team in modeling dynamical systems with ML for drug discovery. We welcome diverse approaches, including those using causality, new solvers, or LLMs! 2/5
    1.7K
  • user avatar
    Ji Won Park
    @jiwoncpark
    May 1, 2023
    Replying to @jiwoncpark
    This was a project with my amazing co-first author @joshua_fagin ! We thank Henry Best, @saavikford, Matthew Graham, Ashley Villar, @cosmo_shirley, James Chan, @matt_of_earth and also @DavidDuvenaud @lxuechen for their helpful suggestions throughout the project.
    390
  • user avatar
    Ji Won Park
    @jiwoncpark
    Nov 17, 2022
    Replying to @jiwoncpark
    We release with this paper the open-source @LSSTDESC Python package, Node to Joy. It implements the structure-enhanced raytracing, training and evaluation of the BGNN, comparison with number counts matching, and the hierarchical inference analysis.
    github.com
    GitHub - jiwoncpark/node-to-joy: Modeling the external convergence from photometric catalogs
    Modeling the external convergence from photometric catalogs - jiwoncpark/node-to-joy
  • user avatar
    Ji Won Park
    @jiwoncpark
    Aug 15, 2016
    How to ace the GRE and Physics GRE – Jaan Altosaar
    jaan.io
    How to ace the GRE and Physics GRE
    Tips and tricks to maximize your GRE and Physics GRE scores.
  • user avatar
    Ji Won Park
    @jiwoncpark
    Jan 4, 2024
    Replying to @jiwoncpark
    Feel free to reach out for more details! 🙌 5/5
    1.7K