Marco Mancini

Marco Mancini's work experience begins in 2017 with an internship at the Signals & Interactive System Lab at Università degli Studi di Trento. Marco later transitioned to a research project in the Machine Learning Lab, focusing on the implementation of the Input Convex Neural Network (ICNN) model proposed by Brandon Amos et al. in 2017.

In 2018, Marco joined VUI, Inc. as a research intern, where they worked until 2019. Marco then became a research scientist, responsible for conducting research in the field. In 2020, they were promoted to the role of research scientist, specializing in specific areas of data science. However, they left the company in December 2020.

Since 2021, Marco has been working at iManage. Marco initially started as a specialist data scientist and later progressed to the position of senior data scientist. Currently, they serve as the lead data scientist at the company.

Overall, Marco Mancini has gained extensive experience in data science, conducting research, and implementing advanced neural network models throughout their career.

Marco Mancini started their education in 2013 at Alma Mater Studiorum – Università di Bologna, where they pursued a Laurea triennale in Scienze e Tecnologie Informatiche with a focus on Scienze informatiche. Marco completed this degree in 2016. In the same year, they enrolled at the Università di Trento to pursue a Laurea Magistrale LM in scienze e tecnologie informatiche with a specialization in Computer Science. It is not specified when this degree will be completed.

In terms of additional certifications, Marco obtained the following qualifications from Coursera in 2023: Machine Learning Engineering for Production (MLOps) Specialization, Deploying Machine Learning Models in Production, Machine Learning Modeling Pipelines in Production, Introduction to Machine Learning in Production, and Machine Learning Data Lifecycle in Production.