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Achievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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@popellab

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jeliason/README.md

Postdoc, Popel Lab, Johns Hopkins. Quantitative systems pharmacology and Bayesian calibration of mechanistic models for cancer immunotherapy.

Currently building at @popellab:

Earlier: spatial Bayesian models for multiplexed tissue imaging (SHADE, bipps, DIMPLE).

joeleliason.com · LinkedIn

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  1. popellab/qsp-inference popellab/qsp-inference Public

    Two-stage Bayesian calibration for QSP models: literature-prior MCMC then neural posterior estimation.

    Python

  2. popellab/maple popellab/maple Public

    Schema-validated LLM extraction of QSP calibration targets from literature, via interactive MCP or batch script.

    Python

  3. popellab/qsp-hpc-tools popellab/qsp-hpc-tools Public

    SLURM-aware orchestration and three-tier caching for QSP simulation campaigns.

    Python

  4. SHADE SHADE Public

    An R package for modeling asymmetric spatial associations between cell types in tissue images using a multilevel Bayesian framework.

    R 1

  5. nateosher/DIMPLE nateosher/DIMPLE Public

    R 3 2

  6. mkln/bipps mkln/bipps Public

    Bayesian Inference of Point Patterns in Space

    C++ 1