• Developed the project plan for the collection, monitoring, reporting and use of performance• Provided key performance indicators using data summaries and graphs to assess and improve quality of service • Developed guidelines to implement and monitor the identified KPIs

- Created a database preclinical and clinical studies in immune-oncology (IO) to support knowledge sharing and data-driven decision-making processes.- Developed and implemented a meta-analysis of IO therapies in preclinical and clinical trial studies using R to compare survival between mice and humans.- Built dynamical models in MATLAB using large datasets of preclinical studies to predict clinical outcomes to IO therapies.- Collaborated with cross-functional teams to deliver high-quality programming and statistical analysis results within project timelines.- Presented findings in English in a clear and concise manner, facilitating informed discussions with both technical and non-technical stakeholders.

- Applied supervised and unsupervised machine learning methods to a dataset of patients using R to identify patterns related to disease progression in amyotrophic lateral sclerosis (ALS)- Performed the survival analysis in R of a clinical trial in ALS patients treated with a stem cell therapy- Collaborated with medical professionals to provide statistical support and contribute to the design and analysis of clinical studies- Translated complex statistical discoveries into easily understandable insights for diverse audiences, including non-technical decision-makers