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Hi there 👋

My name is Nic Dalmasso and I am a PhD student in the Statistics & Data Science department at Carnegie Mellon university. I work in statistical machine learning methodologies for uncertainty quantification. The questions I try to solve are usually motivated by problem in the physical sciences; our research group at CMU (STAMPS, see is pretty active in this area! I strive to have a public repository for each of my projects.

  • 💬 If you are interested in any of the code, feel free to fork and start playing with it!
  • 📫 You can reach me at ndalmass AT stat DOT cmu DOT edu -- I am also Mr8ND on Twitter
  • 😄 Pronouns: He/His


  1. Repository for the emulator validation paper presented at AISTATS 2020

    Python 1

  2. Approximate Computation via Odds Ratio Estimation in Likelihood Free Inference

    Jupyter Notebook 6 1

  3. A machine learning toolkit for the analysis of spatial cultures in architecture

    Jupyter Notebook 4 4

  4. Random Forests for Conditional Density Estimation

    Jupyter Notebook 30 13

  5. Implementation of Flexible Conditional Density Estimator

    Jupyter Notebook 9 5

  6. Neural networks for conditional density estimation

    Jupyter Notebook 5 4

262 contributions in the last year

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Contribution activity

September 2021

Mr8ND has no activity yet for this period.

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