Boerhinger Ingelheim, QC laboratory Italy, Finished Products Sponsorship Release Group. Analytical physical and chemical testing of API, according to GMP, using techniques like IR spectrophotometry, Karl Fisher, Potentiometry and weight loss. Determination of particle contamination through the use of stereomicroscope. Text execution according to SOPs (Standard operating procedures). Knowledge and application of GMP, GLP, data integrity, drugs regulation and safety in QC lab. Maintenance of order and cleanliness of work environments according to 5S methodology. Receipt, management and storage of incoming samples. Use of management software such as SAP for recording the results obtained and data mining. Participation in projects related to digitization and efficency of the laboratorySkills and objectives achieved: - Use of software and laboratory instrumentation according to GMP - Coordination with other analysts in team work, accuracy and accuracy, management of workloads, time management, problem solving

Main activities and responsibilities: in Process Controls on the production of penicillins: during labeling and serialization, on injectables and oral solutions; Chemical analysis: NIR, UV and IR spectrophotometer, Karl Fisher method, Use of precision balances, Determination of particulate contaminationSkills and goals achieved:- Use of LabX and Adiuto software- Time and workload management, stress resistance, flexibility and adaptability

Thesis project on: "Metabolomic analysis of a rare actinomycete genus: Streptosporangium"Main activities: metabolic bioinformatic analysis, chemical analysis (HPLC, NMR, LC-MS), fermentation, data analysisSkills acquired: • Mass spectrometry and MS/MS experiments• Mass spectra analysis • Spectra and natural product databases to annotate and identify metabolites• Liquid Chromatography • QualBrowser (Xcalibur): mass data visualization and analysis• Use of Python libraries to work with csv file (pandas) • Metabolome e genome mining tools • Analysis and interpretation of metabolome mining – molecular networks (GNPS, MZmine2): clusterization tools (GNPS) Combined with learning activities: Course Python for Biologists - Mattia Monga, UniMi (20h) 1. Python fundamentals: Variable assignment, basic operations, methods and functions, list, dictionaries, working with files, csv, procedural abstraction, object oriented encapsulation (classes) 2. Numpy and Matplotlib Array, array operations, web data, random numbers, matplotlib charts3. Notebooks and pandas: Jupyter lab, pandas, working with csv files in Python

Main activities and responsibilities: Preparation of Avian biological samples, DNA extraction from feathers, blood, swab and consequently amplification of specifically genes to determine the sex of the animal or to detect the presence of virus and bacteria;Chemical and microbiological analysis of water samples (Water quality service);Skills and targets achieved: teamwork, time managementInternship during studies