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NilaiVemula/README.md

Hi there!

I'm Nilai, and I am a student studying physics and applied math. I am interested in data science and how data can be analyzed and modeled to answer our most pressing questions. I'm currently working on pycellfit, a project in the research lab I work with to analyze inter-cellular forces in a cell layer, and neural-net-cell-segmenter, a deep-learning semantic segmentation project to extract geometric information from microscope images of cell layers. In my free time, I am learning about machine learning through side projects. I also have interests in bioinformatics and genomics.

The best way to contact me is at nilai.r.vemula@vanderbilt.edu.

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  1. pycellfit pycellfit Public

    pycellfit: an open-source Python implementation of the CellFIT method of inferring cellular forces developed by Brodland et al.

    Python 2

  2. pycellfit-web pycellfit-web Public

    A web-app implementation of pycellfit using Django

    JavaScript

  3. neural_net_cell_segmenter neural_net_cell_segmenter Public

    a tool using machine learning to segment images of packed epithelial cell layers

    Python 1

  4. news-recommender news-recommender Public

    Dismantling Political Echo Chambers Using Natural Language Processing and Binary Classifiers

    Jupyter Notebook 1

  5. Lyft_Data_Challenge Lyft_Data_Challenge Public

    A submission for the 2019 Lyft Data Challenge by Nilai Vemula and Terry Luo

    HTML

  6. diabetes-data-diving diabetes-data-diving Public

    Analyzing diabetes patient data

    Jupyter Notebook 1