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nkern/README.md

Hi, I'm Nick

I'm a NASA Hubble research fellow based at MIT at the Kavli Institute for Astrophysics. I build end-to-end machine learning systems for large-scale, real-world data (e.g. noisy, messy, unlabeled) at the intersection of image, time-series, and radio waveform datasets. I am particularly interested in leveraging advances in deep learning for building robust and interpretable forward models (see my current work on the BayesLIM project).

See below for some of my open-sourced software contributions, and see here for some highlights of my research.

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  1. py21cmnet Public

    Deep neural networks for 21 cm fields

    Python

  2. HERA-Team/hera_pspec Public

    HERA power spectrum estimation code and data formats

    Python 4 3

  3. InterferometerDemo Public

    https://interferometer-demo.streamlit.app/

    Python 1

  4. BayesLIM/emupy Public

    Emulators in Python

    Python 5 1

  5. Astro_9 Public

    Summer Course on Python Programming in Astronomy

    Jupyter Notebook 5 10

  6. simpleQE Public

    A simple framework for power spectrum quadratic estimators

    Jupyter Notebook

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March 2025

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