Andrea Giussani, PhD

Andrea Giussani, PhD

Full-time Data Scientist at Cloud Academy. I am also an Academic Fellow in Computer Science at Bocconi University. Passionated about Statistical Modeling and Learning.

About Me

Short Bio

I am a Machine Learning Developer with actual focus on Natural Language Processing. I hold a PhD in Statistics from Bocconi University, with a strong background in Probability and Statistical Modeling. During my PhD (2014-2017) I have focused on Multivariate Survival Models, and a list of published works is available here:

  • Giussani, A. and Bonetti, M. (2019). A note on the length-biased Weibull-Gamma frailty survival model. Volume 153, Pages 32-36.
  • Giussani, A. and Bonetti, M. (2019). Marshall–Olkin frailty survival models for bivariate right-censored failure time data. Volume 46, Pages 2945-2961.
  • Maconi, G., Bolzoni, E., Giussani, A., Friedman, A.B. and Duca, P. (2014). Accuracy and cost of diagnostic strategies for patients with suspected Crohn’s disease. Volume 12, Pages 1684-1692.

In 2020, I have published the book Applied Machine Learning with Python (BUP). You can find it on Amazon.com.

I sill continue my collaboration with Bocconi as an Academic Fellow in Computer Science. Please check the teaching Section for more details.

If you wish to contact me, please connect to me via Linkedin. If, instead, you wish to get regular updates on my work, you can just simply subscribe to this website down here.