Click on the icon on the right to download the PDF version of my CV.

General Information

Full Name Riccardo Cadei
Date of Birth 16th November 1998
Nationality Italian
Languages Italian (native), English (fluent), and French (beginner)

Research Areas

  • Causal Machine Learning for Public Health.


Work Experience

  • 2023
    Founder in Residence at Entrepreneur First
    • Learning entrepreneurial skills while trying to develop a start-up idea in Responsible AI and Sustainability at Station F .
  • 2023
    Research Fellow at Harvard (@NSAPH group)
    • Conducting research in Causal Inference and Machine Learning in the context of climate change, environmental impacts on health outcomes, and regulatory policy [ICLR23] (P.I.: Francesca Dominici).
  • 2022
    Machine Learning Researcher at Schlumberger-Doll Research in Cambridge (MA) (6-months Internship)
    • Deep Learning for Causal Modeling and interpretation of acoustic (sonic and ultrasonic) subsurface data for anomaly detection and hazard prevention.
  • 2021
    Research Assistant at @Intelligent Global Health at EPFL (Summer Internship)
    • Developing a mobile app for (non-invasive) upper body posture detection using Deep Learning (P.I.: Martin Jaggi).
  • 2020-1
    Machine Learning Engineer at L.O.L. Consulting Group (Freelance)
    • Detecting available rooftop area to install photovoltaic panels from high quality satellite images using Deep Learning.

Teaching Experience

  • 2021-22
    Teaching Assistant at EPFL.
    • Professor: J. Brea.
    • Course: Introduction to Machine Learning for Bioengineers (BIO-322).
  • 2018-19
    Student Assistant at Politecnico di Milano.
    • Task: Teacher (merit based selection) for individual students and small groups.
    • Courses: Calculus 1 and Linear Algebra.
  • 2019
    Olympic Math Teacher at BrixiAmaTe.
    • Task: Teacher in a Math Summer School explaining mathematical concepts, methods and techniques for Mathematical Olympiad.
    • Courses: Combinatorics and Probability.

Honors and Awards

  • Oct 2023
Machine Learning

Software Development Skills

  • Collaborative Programming: Git Hub.
  • Machine Learning: Python (Numpy, Pandas, Scikit-Learn, ...), R, Julia.
  • Deep Learning: Pytorch, TensorFlow.
  • Mathematics:
    • Numerical Mathematics: MATLAB.
    • Statistics: R, Python (Statsmodels, Scipy, ...).
    • Optimization: AMPL, CPLEX, Python (Numpy, Scipy, ...).
  • Big Data: Apache Spark, Scala, HDFS, Hadoop, AWS.
  • App and Web development: HTML, CSS, Android Studio.
  • Robotics: RobotC.
  • Text Editor: LaTeX.


  • Athletics:
    • Marathon Runner for Atletica Paratico and Cambridge Running Club (Marathon regional champion U23 in 2018, P.B.: 2h50m38s in Athens 2023).
    • Trainer at Politecnico di Milano's athletic team (50+ athletes) in 2018-20.
  • Long distance hiker and cycle tourist.
  • Other sports: Ski, Skateboard, Wind Surf, ...