Skip to content
View cnellington's full-sized avatar
67 followers · 37 following

Achievements

Achievement: Pair Extraordinairex2Achievement: Starstruckx2Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex2Achievement: Starstruckx2Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

Block or report cnellington

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
cnellington/README.md

Welcome to my GitHub. I'm currently a Research Scientist at GenBio AI, but you'll find my public and open-source projects here.

I did my Ph.D. at CMU with Eric P. Xing in the Statistical Artificial Intelligence and Integrative Genomics Lab.

I work on AI for biology, with a focus on learning from large-scale heterogeneous data to enable automated biomarker discovery, drug repurposing, and therapeutic target identification for heterogeneous and rare diseases. My general research interests span foundation models, probabilistic graphical models, biological modeling, and multi-task learning.

Previously: Genesis Therapeutics / Baker Lab / Indeed / Klavins Lab / Amazon

Twitter / Scholar / Website

Pinned Loading

  1. genbio-ai/ModelGenerator genbio-ai/ModelGenerator Public

    AIDO.ModelGenerator is a software stack powering the development of an AI-driven Digital Organism (AIDO) by enabling researchers to adapt pretrained models and generate finetuned models for downstr…

    Python 114 25

  2. AdaptInfer/Contextualized AdaptInfer/Contextualized Public

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

    Python 77 13

  3. SampleSpecificDAGs SampleSpecificDAGs Public

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

    Jupyter Notebook 5 3

  4. 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 4 1