Chiara Di Vece is a founding applied scientist at Botz Innovation and a PhD candidate in Computer Science at UCL’s Surgical Robot Vision Group, bringing a decade of experience at the intersection of computer vision, medical robotics, and AI agents. She combines academic rigor—publishing work on surgical simulation and brain deformation modelling—with practical product experience building deep learning features and AI-driven imaging tools. Her background spans industry internships (MathWorks, AI SuitUp) and cross-Atlantic research collaborations, reflecting an ability to translate complex research into deployable algorithms. A multilingual engineer with top academic honours and a dance diploma, she pairs technical precision with creative problem-solving in high-stakes clinical settings.
10 years of coding experience
2 years of employment as a software developer
Diploma, Danza classica, contemporanea, modern-jazz, hip-hop, Diploma, Danza classica, contemporanea, modern-jazz, hip-hop at Centro Professionale di Danza Accademica “La dance”
Liceo Scientifico "Enrico Medi", Battipaglia (SA), Campania, Italia
Laurea Magistrale LM in Ingegneria Biomedica, 110/110 cum laude, Laurea Magistrale LM in Ingegneria Biomedica, 110/110 cum laude at Politecnico di Torino
with Merit, with Merit at Alta Scuola Politecnica
Master of Science - MS, Bioengineering, GPA 4.0/4.0, Master of Science - MS, Bioengineering, GPA 4.0/4.0 at University of Illinois at Chicago
Master of Science - MS, Biomedical Engineering - BTE, Technologies for electronics, 110/110 cum laude, Master of Science - MS, Biomedical Engineering - BTE, Technologies for electronics, 110/110 cum laude at Politecnico di Milano
Contributions:1 release, 33 pushes, 1 branch in 2 months
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Chiara Di Vece - Founding Applied Scientist at Botz Innovation