Daniela Bolaños Garcia

• Conducted bioinformatics enzyme research at Roche, utilizing wet and dry lab techniques for data analysis and protein engineering. • Applied validation technology and statistics in enzymology analysis for drug discovery and diagnosis purposes.

• Conduct exploratory data analysis on MRI datasets, applying statistical methods and dataset balancing techniques. • Develop statistical models and machine learning techniques to enhance segmentation accuracy and predictive performance. • Research and present innovative MRI techniques to the team, contributing to workflow improvements. • Implement automated biomarker data processing pipelines in Python and Linux. • Perform data annotation and labeling to generate high‑quality training datasets for AI‑drive

• Conduct biomarker‑driven statistical analysis on longitudinal neuroimaging data, focusing on cerebral blood flow alterations. • Apply statistical tests (e.g., t‑tests, ANOVA) to compare brain features across subjects. • Develop and maintain an internal scientific database for automated data processing pipelines in Python, MATLAB, and Bash. • Collaborate with neuroscientists, clinicians, and physicists on neuroimaging research. • Develop a standardized database for MRI data conversion and participant track

• Focus: Biomedical Data Analysis, Computational Modeling, AI in Medical Imaging & Biomarker Research • Thesis: Study of Brain Perfusion and Metabolism Impairments in Very Preterm Born Adults Using Magnetic Resonance Imaging (Accepted at ESMRMB 2024, Spain) • Key Skills: Statistical Analysis, ML for Biomarker Discovery, Data Processing Pipelines (Python, R, MATLAB) • Relevant Courses: Biostatistics, Advanced AI in Medicine, Computational Biology, MRI courses, Theranostics, Radioactivity, Medical Augmented R

Physics department.

• Developed and validated analytical methods for pharmaceutical products using HPLC and GC, ensuring precise and accurate results critical for regulatory compliance and quality assurance. • Authored comprehensive protocols and reports for method validation and analytical transfer, facilitating seamless handover to the Quality Control department. • Collaborated with cross‑functional teams, including formulation scientists and regulatory affairs, to optimize product development and ensure compliance with indu

• Designed and executed HPLC and GC experiments to improve the formulation of pharma, nutrition, and oral care products, ensuring high efficacy and consumer safety. • Led the development and optimization of disinfection and oral health products, focusing on antibacterial and antiviral efficacy, including solutions relevant to the COVID‑19 pandemic. • Validated analytical methods for new product formulations, utilizing advanced techniques to achieve high‑quality and reproducible results. • Worked closely wit

• Conducted rigorous quality control testing of raw materials, in‑process samples, and finished products, using validated analytical methods to maintain product integrity. • Standardized and prepared solutions for routine analysis, ensuring consistent and reliable results for the quality assurance process (INVIMA regulations). • Managed documentation and compliance with regulatory requirements, contributing to the company’s adherence to Good Manufacturing Practices (GMP). • Participated in the investigation