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Developed as part of the Lawrence Livermore National Laboratory Data Science Summer Institute 2022 Challenge Problem. Screening molecular inhibitors for SARS-CoV-2 protein targets with Deep Learning Models.

Python 5.61% Jupyter Notebook 94.39%
3d-molecules-models chemistry covid-19 covid19-data deep-learning fusion ligand-screening molecular-simulation protein-structure sars-cov-2

covid19-drug-screening-ml's Introduction

Hi, I'm Marina! πŸ‘‹

Pronouns: she/her/hers

marinadunn.github.io

✨About Me✨

πŸ”­ My research interests include: Data Science and Deep Learning for Astrophysics research

πŸ‘©β€πŸ’» Starting in September 2024, I will begin my role as a Junior Scientist (Astrophysics PhD Candidate) at the Instituto de AstrofΓ­sica de Canarias (IAC) in Tenerife, Spain!

πŸ‘©β€πŸŽ“ I recently graduated in June 2023 with my M.S. in Engineering: Data Science from the University of Riverside, California

🌌 I received my Bachelor's in Astronomy from the University of Arizona in 2018

πŸš€ I've previously worked at NASA Goddard Space Flight Center, NASA Langley Research Center, Lawrence Livermore National Laboratory, Apple, and the University of Arizona

🧠 I am proudly neurodivergent!

πŸ“ Hometown: Nashville, TN, USA

βœ‰οΈ Get in touch: [email protected] (same as [email protected]) or [email protected]

πŸ› οΈ Skills

πŸ‘©β€πŸ’» Languages

Python HTML5 R LaTeX C Markdown MATLAB

πŸ“ˆ Artificial Intelligence/Machine Learning/Deep Learning/Data Science

TensorFlow Keras PyTorch scikit-learn Pandas NumPy Apache Spark

βš™οΈ Version Control

Git GitHub GitLab

πŸ“š Libraries

OpenCV Matplotlib Plotly SciPy Xarray

πŸ’» IDEs/Editors

Jupyter Notebook Vim Visual Studio Code RStudio

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