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@neurobiofisica @ReScience @HuertasLab @VandroiyLabs @QCB-Collaboratory

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thmosqueiro/README.md

Hello there 👋, I'm Thiago Mosqueiro!

I am an Applied Scientist at Amazon.com, based in Seattle, WA (US). My general research interest is in applied mathematics, machine learning and statistics. During my PhD and Post-doc, I combined neural models and data analysis to help understand the neural basis chemical sensing. More recently, I have been working on various problems involving economics, machine learning and reinforcement learning.

  • 🔭 I’m currently working for Amazon.com as an applied scientist.
  • 🤔 I haven't been as available on Github the past years due to work
  • 💬 Check out my blog! Feel free to reach out.
  • 😄 Pronouns: He/him
  • ⚡ Fun fact: In my free time, I'm passionate about open source, music, and video games!

📫 Connect with me:

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  1. ENose-Decorr_Humdt_Temp Public

    Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring

    Python 28 8

  2. QCB-Collaboratory/W17.MachineLearning Public

    Course material for the Collaboratory Workshop "Machine Learning with Python"

    Jupyter Notebook 29 13

  3. Probab-Greenberg-Hastings Public

    Implementation of a Probabilistic Greenberg-Hastings model for neuroscience and statistical physics

    Fortran 7

  4. QCB-Collaboratory/telescope Public

    Telescope server repository

    Python 4 3

  5. jaquejbrito/star-join-spark Public

    Two efficient algorithms to process Star Joins using the Spark framework: Spark Bloom-Filtered Cascade Join (SBFCJ) and the Spark Broadcast Join (SBJ)

    Java 10

  6. modeligem Public

    Modeling and Bioinformations for iGEM Brasil-USP (2015)

    Python 3 1

21 contributions in the last year

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February 2025

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