The Data Science and Machine Learning team at Seer develops advanced algorithms and models to analyze complex proteomics data generated from nanoparticle-based workflows. By leveraging machine learning techniques, this team enables the extraction of meaningful insights from large-scale plasma and serum proteomics, driving innovations in biological research and diagnostics. Their expertise contributes to enhancing data accuracy and efficiency, ensuring robust and unbiased results.