Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Scientist | Deep Learning
Engineer by education, researcher by vocation. I am always ready to challenge myself with projects that can have an impact on people's lives. My research interests mostly extend across three areas: machine learning, specifically deep learning; computer vision, in particular for medical imaging applications; signal processing, with a particular focus on acoustic signals. Currently, I am using my skills and expertise within the field of medical image analysis at Novo Nordisk, aiming at helping people with chronic diseases, such as diabetes, obesity and haemophilia. I have a PhD in electrical and electronic engineering, obtained at Aalborg University, where I worked within the Centre for Acoustic Signal Processing Research (CASPR). During my PhD, I successfully collaborated with academic and industrial partners, specifically with Universitat Pompeu Fabra (Spain), Università di Modena e Reggio Emilia (Italy), Oticon (Denmark) and Tencent AI Lab (USA). My dissertation focused on deep-learning-based audio-visual speech enhancement and it was the basis of my postdoctoral research, which I carried on at Oticon and Aalborg University, with the purpose of investigating cutting-edge technologies for multimodal hearing assistive devices. Before starting my PhD project, I got a Bachelor’s in Computer Science and Electronic Engineering at the University of Perugia (Italy), and a Master’s in Vision, Graphics and Interactive Systems at Aalborg University, where I worked on several projects, including one on biometrics in collaboration with Fingerprint Cards. I have also worked as an intern at Bang & Olufsen.
DTU - Technical University of Denmark
Advanced Topics in Machine Learning: Computational Tools for Machine Learning in Python
January 1, 2018 – January 1, 2018
Università di Catania
International Computer Vision Summer School (ICVSS)
January 1, 2018 – January 1, 2018
Aalborg University
Winter School on Signal Processing for Hearing Assistive Devices
January 1, 2017 – January 1, 2017
The Innovation Camp powered by Bang & Olufsen
Conceptual Design & Development of Innovative Products
January 1, 2016 – January 1, 2016
Aalborg University
Master of Science (M. Sc.), Vision, Graphics and Interactive Systems
January 1, 2015 – January 1, 2017
Università degli Studi di Perugia
Bachelor of Science (B.Sc.), Computer and Electronic Engineering
January 1, 2009 – January 1, 2014
Liceo Classico 'Jacopone da Todi'
High School Diploma, Humanities/Humanistic Studies
January 1, 2004 – January 1, 2009
Novo Nordisk
Senior Data Scientist - Imaging Analytics
April 1, 2026 – Present
Copenhagen Metropolitan Area
Novo Nordisk
Data Scientist - Imaging Analytics
April 1, 2023 – March 1, 2026
Copenhagen Metropolitan Area
Aalborg University
Industrial Postdoc
April 1, 2021 – February 1, 2023
Oticon
Industrial Postdoc
April 1, 2021 – February 1, 2023
Aalborg University
Research Assistant
September 1, 2020 – February 1, 2021
Universitat Pompeu Fabra
Visiting Researcher
September 1, 2019 – December 1, 2019
Barcelona, Spain
Aalborg University
PhD Fellow
September 1, 2017 – August 1, 2020
Bang & Olufsen
Machine Learning Intern
September 1, 2016 – December 1, 2016
Struer, Denmark
Aalborg University
Student Teacher
January 1, 2016 – January 1, 2016
Hjørring, Denmark
Aspasiel a company of Acciai Speciali Terni
Algorithm Development Intern
October 1, 2012 – December 1, 2012
Terni, Italy
Confidentiality and Data Protection in Health Research
Medical Research Council
June 24, 2026 – Present
MRI Acquisition Course
Danish Research Centre for Magnetic Resonance (DRCMR)
June 24, 2026 – Present
IEC 62304 and Emerging Standards and FDA Expectations for Medical Device and Health IT Software
SoftwareCPR
June 24, 2026 – Present
Recognized Reviewer (21 peer review records of 13 manuscripts)
Web of Science (formerly Publons)
June 24, 2026 – Present
Recognized Reviewer (Computer Speech and Language)
Elsevier
June 24, 2026 – Present
Basic Course in Problem Based Learning, the AAU-model
Aalborg University
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Bioinformatics Algorithms (Part 1)
Coursera Course Certificates
June 24, 2026 – Present
IELTS - International English Language Testing System - 7.0
British Council
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards research and development in AI/ML, particularly in academic and R&D settings within large organizations. While the 'Data Analyst' target role typically focuses on data interpretation, reporting, and business insights, the candidate's experience is more aligned with 'Data Scientist' or 'Machine Learning Engineer' roles, involving model development, algorithm design, and complex data processing. The project diversity is strong within the AI/ML domain but less so in traditional business intelligence or data analysis contexts. This might indicate a potential mismatch with a pure Data Analyst role, requiring a deeper dive into their interest in analytical reporting and business-focused data insights.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, initiative, and communication skills through their roles in leading AI/ML teams, initiating programs, and conducting seminars. Their experience in defining annotation protocols and managing data annotation activities suggests meticulousness and attention to detail. The teaching and mentoring experience indicates a collaborative and knowledge-sharing approach. The involvement in conferences and workshops highlights a proactive attitude towards continuous learning and engagement with the scientific community.