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ribesstefano/README.md

Hi there 👋

PhD candidate in the AIME lab 🧬, I combine a keen interest in AI-driven molecular engineering with practical experience in high performance computing 🚀. My research centers on applying AI to predict protein degradation and optimize molecular design. I have developed and deployed algorithms on GPU and FPGA platforms, enabling efficient computational simulations and model compression. I am eager to continue advancing the interface between computation and biochemistry. Discover more about my work on my personal webpage 🔗.

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  1. PROTAC-Degradation-Predictor PROTAC-Degradation-Predictor Public

    Predicting PROTAC protein degradation activity via machine learning.

    Jupyter Notebook 15 3

  2. PROTAC-Splitter PROTAC-Splitter Public

    PROTAC-Splitter is a machine learning framework designed for automated annotation of PROTAC substructures.

    Jupyter Notebook 11 3

  3. GPU-accelerated-Finite-Element-Method-using-Python-and-CUDA GPU-accelerated-Finite-Element-Method-using-Python-and-CUDA Public

    Includes the design and implementation in Python and CUDA of the Finite Element Method algorithm to be run on an Nvidia GPU.

    Jupyter Notebook 33 5

  4. Mapping-Multiple-LSTM-Models-on-FPGAs Mapping-Multiple-LSTM-Models-on-FPGAs Public

    Includes the SVD-based approximation algorithms for compressing deep learning models and the FPGA accelerators exploiting such approximation mechanism, as described in the paper Mapping multiple LS…

    Jupyter Notebook 16 4