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cnellington/README.md

Howdy 👋

I create trustworthy intelligent systems for personalized medicine. I'm a Computational Biology PhD student at CMU advised by Dr. Eric Xing.

Current Interests

High resolution medical imaging and sequencing have revealed unexpected differences among cohorts of patients with identical diseases and characteristics. This heterogeneity requires the focus of medicine to shift from populations to patients. I create systems that generate patient-specific models of disease to understand how a patient's molecular profile influences their disease's manifestation, progression, and outcome. Currently, I work with @blengerich on inferring gene regulatory networks under a one-patient-one-sample regime.

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  1. Contextualized Contextualized Public

    An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.

    Python 66 11

  2. SampleSpecificDAGs SampleSpecificDAGs Public

    Framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample resolution

    Jupyter Notebook 5 3

  3. bioscience-python-tutorials bioscience-python-tutorials Public

    A series of tutorials to introduce bioscience students to a variety of python-based research applications. UW Bioengineering 2019-2020 honors project

    Jupyter Notebook 5 1

  4. notears-tensorflow2 notears-tensorflow2 Public

    Forked from ignavierng/notears-tensorflow

    Reimplementation of NOTEARS in Tensorflow

    Python 2