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Hi there 👋

  • 👨‍💼 I am a Research Fellow at Alma Mater Studiorum - Università di Bologna.
  • 📖 I graduated in Physics (Bachelor Degree) and Artificial Intelligence (Master Degree) at Alma Mater Studiorum - Università di Bologna
  • 🔭 I worked on predictive and prescriptive models (with focus on COVID-19 pandemic) as part of my Master's Degree thesis work
    • Exploiting techniques integrating Deep Learning and Constrained Optimization
    • Making use of Compartmental models, Lagrangian duality (optimization), Artificial Neural Networks and Empirical Model Learning
  • 🌱 I’m currently working on (Physics-)Informed Machine Learning.
    • I.e. combining Physics and Artificial Intelligence!
  • 💬 Ask me about my work:
    • You can find it all here on GitHub 👇
  • 📫 How to reach me: write me an email
  • ⚡ Fun fact: I was born on Feb 29th!

Projects

Check out my repositories to know what I'm working on!

Some of my favourite projects:

  • sir-npi: Development of a epidemiological predictive model to for my Master thesis to rely upon.
  • pwp: Solving an optimization problem exploiting both CP (Constrained Programming) and SMT (Satisfaction Modulo Theories)
  • neuralnet: Artificial neural network evaluation deploying OpenMP- and NVIDIA CUDA.
  • Lostefra/TranslationCoherence: Assess quality of translations from/back different languages (using OWL and FRED)
  • pos-tagging: An exercise on POS-tagging using different RNN models (LSTM, GRU)
  • covid-logistic-bfgs: Fitting a logistic regression on COVID-19 data using BFGS optimization algorithm

Programming languages, frameworks and tools

Main experience, everyday use

python jupyter tensorflow pytorch numpy pandas c c++ bash docker markdown linux github

Learned at university and used to develop some projects

scala W3C Semantic Web openmp nvidia-cuda minizinc z3-prover swi-prolog

Mainly self-taught

java html5 css3 sass

In progress...

javascript jquery angular nodejs php R ruby SQL

Michele Iannello's Projects

neuralnet icon neuralnet

A simple, parallel, efficient neural network evaluator.

pos-tagging icon pos-tagging

Training three different RNN models on a portion of Penn Treebank data to perform POS-tagging

rise icon rise

RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension

sir-npi icon sir-npi

A descriptive and predictive model of COVID-19 data applying the SIR compartmental model, Lagrangian Duality and Neural Networks.

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