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Chrysovalantis Constantinou

cconsta1

Hi, I’m Chrysovalantis (Valentino), an interdisciplinary nuclear physicist with a background in ab initio nuclear theory, machine learning, and scientific software development.

My work spans nuclear structure and many-body methods, physics-informed machine learning, and applied ML in areas such as forensic anthropology and medical imaging. I have developed and maintained open-access tools, datasets, and web applications used in both research and education.

I use GitHub to release reproducible research code, curated datasets, and experimental machine learning workflows at the boundary between physics and data science. I also build exploratory 3D projects using Three.js and WebGL for fun.

Sponsorship helps support the time and compute required to maintain open-source scientific software, improve documentation, curate reusable datasets, and publish transparent analyses that others can build on.

If you value careful, physics-aware applications of machine learning and long-lived open research tools and interactive projects, your support directly enables this work.

Featured work

  1. cconsta1/threejs_car_demo

    Mario Kart-inspired racing game with lap-based coin collection, physics-driven kart, and dynamic scoring. Built with Three.js and Cannon-es

    JavaScript 16
  2. cconsta1/SexEst

    SexEst is an open-source Streamlit web application for predicting biological sex from skeletal measurements using machine learning (XGBoost, LightGBM, Linear Discriminant Analysis). The best-perfor…

    Python 11
  3. cconsta1/christmas-scene

    A stylized interactive 3D winter scene built with Three.js, blending pop-art color, comic-inspired shading, and a quiet dystopian atmosphere. The project focuses on expressive shaders, bold lightin…

    JavaScript 4
  4. cconsta1/SexEst_Notebooks

    Jupyter notebooks for training ML models that predict biological sex from skeletal measurements. Companion to the SexEst web app.

    Jupyter Notebook 4
  5. cconsta1/AgeEst

    Interactive Dash app for skeletal age‑at‑death estimation using pre-trained ML models (classification + regression).

    Python 1
  6. cconsta1/DentalAgeClassification-scripts

    Vision Transformer and EfficientNetV2 models for binary age classification using panoramic dental x-rays

    Jupyter Notebook 1

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