About Me - Post-doc at Bocconi University

Hello! I am Federico Bianchi, a post-doctoral researcher at Bocconi University (with Prof. Dirk Hovy), Milan, Italy. I was a PhD Student at University of Milan-Bicocca (Prof. Matteo Palmonari) and a Visiting Scholar at Wright State University, Ohio, US (Prof. Pascal Hitzler). I have experience in Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP).

Artificial Intelligence, Machine Learning and Natural Language Processing

I work for the Bocconi Institute for Data Science and Analytics and I am a member of the team that is currently working on a Twitter funded project to understand, explore and measure how healthy the conversations on the platform are. I have introduced and worked with algorithms for artificial intelligence and for data analytics over text.

During my PhD at Bicocca University I got the chance to speak at different venues like Stanford University and Monterey, California and at many other conferences.

I like coding, and I love (functional) programming languages. I am a very happy emacs user.

Research Experience

I like doing a lot of different things! I have different interests that range from neuro-symbolic learning and reasoning to natural language processing and from quantum physics to deep learning for the e-commerce.

I have papers in the main track of different AI venues (e.g., EACL, AAAI, ACL, ISWC, RecSys), workshop proceedings (WWW, NeurIPS) and Q1 Journals (e.g., Nature PJQI, SWJ) and a few things have also been featured in press or in company media outlets (see, 1, 2, 3, 4).

I have also worked/collaborated with companies: I have collaborated as a Data Scientist for Instal LLC and I have an ongoing research collaboration with people at Coveo on e-commerce and recommendation research. In the past, I worked as a full-stack software developer for Mobave LLC (later acquired by Instal) and for Whattaspot.



If you would like to contact me you can send me an email: f.bianchi@unibocconi.it.

Bye :)


Recent Papers

Bianchi, F., Bingqing, Y., & Tagliabue, J. (2020). BERT Goes Shopping: Comparing Distributional Models for Product Representations. Arixv-preprint.

Di Carlo, V., Bianchi, F., & Palmonari, M. (2019, July). Training temporal word embeddings with a compass. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp. 6326-6334).

Palmieri, A. M., Kovlakov, E., Bianchi, F., Yudin, D., Straupe, S., Biamonte, J. D., & Kulik, S. (2020). Experimental neural network enhanced quantum tomography. npj Quantum Information, 6(1), 1-5.

Hovy, D., Bianchi, F., & Fornaciari, T. (2020, July). “You Sound Just Like Your Father” Commercial Machine Translation Systems Include Stylistic Biases. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 1686-1690).

Tagliabue, J., Yu, B., & Bianchi, F. (2020, September). The Embeddings That Came in From the Cold: Improving Vectors for New and Rare Products with Content-Based Inference. In Fourteenth ACM Conference on Recommender Systems (pp. 577-578).