Sophie Tascedda
Data Scientist
Summary
Dynamic data scientist with experience at Roche and CHUV, skilled in statistical analysis, machine learning and research project management. Developed ML models and statistical analysis for answering specific scientific questions, as well as NLP models for enhancing knowledge management workflows. . Proven ability to collaborate effectively within cross-functional teams, driving innovative solutions and achieving project goals. Committed to advancing research through analytical thinking, creative problem solving and rigorous data analysis methods.
Overview
3
3
years of professional experience
4
4
Certifications
5
5
Languages
Work History
Research Assistant
CHUV
12.2024 - Current
- Participate actively in regular meetings with fellow researchers to discuss project updates, challenges faced, and lessons learned during ongoing activities.
- Monitored project timelines, ensuring timely completion of tasks while maintaining high-quality output.
- Conducted literature reviews to support hypothesis development and identify gaps in existing knowledge.
- Developing machine learning models and AI applications to support the diagnostic and prognostic work of clinicians.
- Evaluated emerging technologies to determine their potential impact on current research projects or future initiatives.
- Contributed to development of research proposals, aligning with strategic objectives and securing project approvals.
- Conducted rigorous statistical analyses for precise interpretation of complex datasets.
Knowledge Management Intern
Hoffmann La Roche
04.2024 - 10.2024
- Built NLP models for automated entity recognition for business-specific entities.
- Contributed to a positive work environment by fostering open communication and promoting teamwork among colleagues.
- Facilitated cross-functional workshops aimed at improving understanding and utilization of available resources within the organization.
- Collaborated in developing AI-powered semantic search tools and LLM-based document retrieval systems to optimize knowledge management workflows.
- Managed change management, application rollout plan, brand identity, and application training.
- Developed and delivered comprehensive training sessions for staff members to optimize their use of knowledge management tools.
Data Science Research Intern (Thesis)
Hoffmann La Roche
11.2022 - 11.2023
- Designed and evaluated incidence models for immunogenicity based on longitudinal preclinical data, using nonlinear mixed effects (NLME).
- Problem representation with Markov processes, and manual design and reparametrization of models.
- Collaborated with cross-functional teams, including statisticians, pharmacologists, and bioinformaticians.
- Successfully collected, cleaned, processed, imputed, and modeled longitudinal data from preclinical studies in mice and monkeys.
- Prepared comprehensive reports on research findings, effectively communicating results.
Education
Master Course - AI For Bioinformatics
Universitá Degli Studi Di Modena E Reggio Emilia
Modena 04.2001 -
Master of Science - Data Science For Decision Making
University of Maastricht
Maastricht 04.2001 -
Bachelor of Science - Electronic Engineering
Universitá Degli Studi Di Modena E Reggio Emilia
Modena 04.2001 -
Skills
Data collection and processing
Teamwork and collaboration
Statistical analysis
Data analysis
Analytical thinking
Project management
R programming
Python programming
Research project design
Machine learning
Neural networks
Deep learning
Certification
AI for Medical Diagnosis - Deeplearning.ai
Publications (selected)
- Sarti P, Tascedda S , Rivi V, Blom Blom JMC. Innovative AI Approaches in Alzheimer's Disease and Mild Cognitive Impairment. Frontiers in Aging Neuroscience. 2024.
- Sarti P, Varrasi S, Savia Guerrera C, Rivi V, Tascedda S , Blom JMC, Castellano S, Caraci F. A Network Study to Explore the Role of Components of Apathy and Their Relationship with Cognitive Decline. Alzheimer's & Dementia. 2025
- Tascedda S , Grimm HP, Franssen L. Immunogenicity Publication Bias and Its Consequences for Predictive Modelling: A Call for Transparent Reporting. CPT PSP. In preparation, in collaboration with Hoffmann-La Roche.
Timeline
AI for Medical Prognosis - Deeplearning.ai
07-2025
AI for Medical Treatment - Deeplearning.ai
07-2025
AI for Medical Diagnosis - Deeplearning.ai
06-2025
Research Assistant
CHUV
12.2024 - Current
Knowledge Management Intern
Hoffmann La Roche
04.2024 - 10.2024
Finetuning LLMs - Deeplearning.ai
03-2024
Data Science Research Intern (Thesis)
Hoffmann La Roche
11.2022 - 11.2023
Master Course - AI For Bioinformatics
Universitá Degli Studi Di Modena E Reggio Emilia
04.2001 -
Master of Science - Data Science For Decision Making
University of Maastricht
04.2001 -
Bachelor of Science - Electronic Engineering
Universitá Degli Studi Di Modena E Reggio Emilia
04.2001 -
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