Skip to content
View GiorgioMorales's full-sized avatar
🐧
Focusing
🐧
Focusing
20 followers · 5 following

Achievements

Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Organizations

@NISL-MSU

Block or report GiorgioMorales

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
GiorgioMorales/README.md

Web LinkedIn Badge

Hi there 👋

My name is Giorgio L. Morales Luna. I am a researcher specializing in Symbolic Regression, Explainable and Interpretable Machine Learning, and Uncertainty Quantification. I earned a Ph.D. in Computer Science at Montana State University under the supervision of Dr. John Sheppard, as a member of the Numerical Intelligent Systems Laboratory (NISL). I hold an M.S. in Computer Science from Montana State University and a B.S. in Mechatronic Engineering from the National University of Engineering in Peru. My research aims to advance transparent machine learning techniques that support scientific discovery, decision-making under uncertainty, and data-driven exploration across disciplines such as physics, biodiversity, and engineering.

  • 🔭 I’m currently working at the GREYC Laboratory.
  • 🌱 I’m currently learning about Uncertainty Quantification in Generative Models.
  • 😄 Pronouns: He/him/his.
  • ⚡ Fun fact: Birds are real.

Pinned Loading

  1. NISL-MSU/AdaptiveSampling NISL-MSU/AdaptiveSampling Public

    Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks. AAAI 2025.

    Jupyter Notebook 2

  2. NISL-MSU/MultiSetSR NISL-MSU/MultiSetSR Public

    Decomposable Neuro Symbolic Regression

    Python 2

  3. NISL-MSU/PredictionIntervals NISL-MSU/PredictionIntervals Public

    DualAQD: Dual Accuracy-quality-driven Prediction Intervals. IEEE TNNLS 2023.

    Jupyter Notebook 10 1

  4. NISL-MSU/HSI-BandSelection NISL-MSU/HSI-BandSelection Public

    Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging. Remote Sensing 2021.

    Jupyter Notebook 60 14

  5. NISL-MSU/ResponsivityAnalysis NISL-MSU/ResponsivityAnalysis Public

    Counterfactual explanations for the identification of the features with the highest relevance on the shape of response curves generated by neural network black boxes. IJCNN 2023.

    Python 1 1

  6. SolarRadiometer SolarRadiometer Public

    Low-Cost Solar Radiometer Implementation

    C++ 1