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hacking
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hacking
3 followers · 4 following
  • Bayer Crop Science
  • St Louis MO
  • 02:23 (UTC -06:00)

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BrianEads/README.md

About Me

  • 👋 Hi, I’m @BrianEads. I'm currently doing cloud engineering for small molecules R&D for Bayer Crop Science. My background is in data science, genomics and analytics engineering.

Professional Background

  • 👀 I’m interested in data, machine learning and automation. My team deploys a wide array of tools in this space designed to accelerate discovery of novel small molecules, and to augment human decisions with new analytics pipelines to speed time to market.
  • I have a background in molecular biology and biochemistry, extensive experience in genomics and bioinformatics, and an abiding interest in using machine learning for computational biology domains. Much of our data engineering work straddles on-prem and cloud assets as we move further into new patterns of GCP-stored data (accessed via BigQuery or API). Our cloud expertise is heavily AWS and we use GitHub (natch) and other enterprise-supported platforms across the DevOps lifecycle of our products.

Problem Domains

  • 🌱 My team is currently leveraging serverless patterns for our workloads, and exploring emerging patterns like deep learning and transfer learning. In machine learning spaces, we help our modeler colleagues to automate model deployment and monitoring.

Side Projects

  • 💞️ I enjoy several tech-related hobbies, including archaeogenomics and Rasp-pi hacking.

Contact

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  1. awesome-decision-tree-papers awesome-decision-tree-papers Public

    Forked from benedekrozemberczki/awesome-decision-tree-papers

    A collection of research papers on decision, classification and regression trees with implementations.

    Python

  2. ChatGPT-Data-Science-Prompts ChatGPT-Data-Science-Prompts Public

    Forked from travistangvh/ChatGPT-Data-Science-Prompts

    A repository of 60 useful data science prompts for ChatGPT

  3. DeepLearning-in-Bioinformatics DeepLearning-in-Bioinformatics Public

    Forked from Bjoux2/DeepLearning-in-Bioinformatics

    For anyone who are eager to applying deep learning in bioinformatics!

  4. machine-learning-collection machine-learning-collection Public

    Forked from microsoft/machine-learning-collection

    📕machine learning tech collections at Microsoft and subsidiaries.

  5. tensorflow2-generative-models tensorflow2-generative-models Public

    Forked from timsainb/tensorflow2-generative-models

    Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

    Jupyter Notebook