Activities
A summary of my professional activities
π¨βπ« Teaching
I'm not currently teaching any course.
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Natural Language Processing
Natural Language Processing
Natural Language Processing
Fundamentals of Machine Learning: Theory and Practice
π Supervision
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Qiankun Zheng
π€ Academic Service
Reviewing
ποΈ Attended Events
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π Other Happenings
2023
May 2023: I was awarded two research grants from the Imminent Research Center and the Amsterdam eScience Center to fund the development of the Inseq library and my future research on machine translation.
February 2023: Inseq, our open-source toolkit for post-hoc interpretability of generative language models, is now available on Github! π We also have a demo paper with some usage examples.
2022
July to Sep, 2022: Spent the summer at Amazon AWS New York working as an Applied Scientist Intern with the Amazon Translate team, working with Georgiana Dinu, Maria NΔdejde, Xing Niu and Benjamin Hsu.
May 23-30, 2022: Hosted Michael Carl at the University of Groningen, with talks about translation processes and interpretability for machine translation.
2021
Sep 1, 2021: Starting a PhD in interpretable neural machine translation at the worderful GroNLP group under the supervision of Arianna Bisazza, Malvina Nissim and Grzegorz ChrupaΕa, as a part of the NWO-funded consortium InDeep: Interpreting Deep Learning Models for Text and Sound.
Jul 31, 2021: Last day of work at Aindo. In the last months I worked on structured prediction from clinical reports, few-shot cross-lingual transfer for neural QA models, GNN for molecular properties prediction, neural recommender systems and sketch-to-image generation with GANs.
Jul 23, 2021: Participated in the HuggingFace JAX/Flax Community Week building the first CLIP image-text model for Italian (demo here) and the first T5 seq2seq model pre-trained on Italian. I also cleaned the largest available Italian corpus to date, the Italian split of mc4 (full size after cleaning ~103M docs, 41B words, 215Gb), making it available on the HuggingFace Hub.
Jan 1, 2021: Started working full-time as ML research scientist for Aindo.
2020
Dec 11, 2020: Graduated cum laude from the Data Science MSc at the University of Trieste and SISSA with my thesis Interpreting Neural Langauge Models for Linguistic Complexity Assessment, under the supervision of Felice dell’Orletta and Davide Crepaldi.
Oct 19, 2020: Developed and open-sourced LambdaBert, a BERT implementation based on lambda layers instead of self-attention. Viral on Made with ML.
Sep 28, 2020: Attended the “Deep Learning Theories in Neuroscience” session at the Oxford Virtual Autumn School in Neuroscience.
May 8, 2020: Organizing the AI, Stats & COVID-19 event with AI2S, with more than 100 participants from around the world.
Mar to Jun, 2020: Main developer for the Covid-19 Semantic Browser, a joint project by AILC and Area Science Park, covered in the news by many sources, including the NLP Newsletter by Sebastian Ruder and the Anthony Goldbloom talk at the Stanford HAI conference on COVID-19 and AI
Mar 22, 2020: Officially founded AI2S, the first AI student society in Friuli-Venezia Giulia.
Feb 13, 2020: Presented the “Hey Siri, what’s computational linguistics” interactive talk at SISSA Student Day 2020.
Feb 10-14, 2020: Attended the course “Eye-tracking Methods for Cognitive Science” by Elizabeth Schotter at SISSA.
2019
Sep to Dec, 2019: Internship at the ItaliaNLP Lab of the Institute for Computational Linguistics ILC-CNR in Pisa. Worked under the supervision of Felice Dell’Orletta on linguistic complexity assessment with neural language models.