Naoman Tabassam
Tech Trainee @La Fosse
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WORK HISTORY
Tech Trainee @La Fosse
EDUCATION
University of Westminster
BSc, Biochemistry
Queen Mary University of London
MSc Bioinformatics, Computational Biology
ABOUT NAOMAN TABASSAM
Bioinformatics graduate with hands-on experience in machine learning, feature selection, and network reconstruction for large-scale biological datasets. Specializing in applying machine learning techniques to omics data, with a particular focus on phosphoproteomics. MSc research involved developing and implementing ML models using Python (including Linear Regression and XGBoost) to predict kinase–substrate interactions and uncover regulatory networks in the cell cycle.Previously worked as a Clinical Data Coordinator at Medpace, managing clinical trial data across multiple EDC systems (Rave/Medidata, Veeva, ClinTrak). Gained expertise in data cleaning, reconciliation, quality control, and database validation, while collaborating with stakeholders and external vendors.Looking forward, passionate about combining computational methods with biological insights to contribute to interdisciplinary teams. Focused on using data-driven approaches to support research, drive scientific advancements, and improve healthcare outcomes. Always eager to learn and take on new challenges in bioinformatics and data analytics.
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