Curriculum Vitae

• GPA: 5.7/6.00
• Relevant courses: Large Language Models, Probabilistic AI, Machine Perception, Big Data, Computer Vision, 3D Vision, Computational Intelligence Lab, Information Security Lab

• Final grade: 110/110 cum Laude
• GPA: 29.6/30.0
• Relevant courses: Mathematical Analysis and Optimization, Algorithms and CS, Statistics, Physics, Statistical and Quantum Physics, Machine Learning, AI lab
• Head of the Tech division of the Bocconi student association BSI

• GPA: 4.24/4.00
• Relevant courses: Compilers, Relational Programming, Advanced Microeconomics, CS project

• Relevant courses: Violin, Solfège, History of Music

• Final grade: 100/100 cum Laude
• Holder of the high school scholarship (2021) with the following motivation: to excellent results in scientific subjects she combined abilities of sensitivity in drawing and passion in the study of History of Art
• Elected student of the year (Respighiana Junior in 2021) with the following motivation: to the outstanding scholastic results of absolute excellence she has always combined great participation and willingness skills making herself appreciated by classmates and teachers
• Relevant activities: selected for National Maths competitions while captain of the school female Maths-team, Nationally selected for the International Session of EYP, class representative

Zürich, Switzerland

• Developed world-class technology and data solutions for UBS Group Operations and Technology Office

Milano, Italy

• Realization in Python of a scalable structure able to account for the complex interplay between agents, aimed at developing an ethical community-driven economic system and enhancing cooperativeness and fair distribution of value leveraging optimization techniques and auction designs

Milano, Italy

• Analysed multi-omics datasets generated from human stem cells and cortical brain organoids culture, with a particular focus on single-cell RNA sequencing data and bulk transcriptomic data to evaluate the expression patterns of genes that are causally linked to neurodevelopmental disorders
• Finetuned pretrained transformer-based models enabling the prediction of cellular exposure to specific EDC and hormonal pathways

• Created, organized, and analyzed datasets with millions of entries to study the various roles and connections in the Venture Capital ecosystem, leveraging techniques from Network Science, with a particular focus on the creation of specific scores to understand leader-follower mechanisms
• Pre-processed and analysed textual entries developing and applying Machine Learning and NLP models