Aditi Shenoy is a data scientist with eight years of experience at the intersection of life sciences and machine learning, currently applying her expertise to pharmacovigilance at the Uppsala Monitoring Centre. She holds a PhD in Protein Bioinformatics and Deep Learning from SciLifeLab/Stockholm University, where she benchmarked algorithms for protein structure and ligand binding prediction and developed GPU-accelerated deep learning models. Her background spans RWE analysis at Novartis, proteomics and biomarker discovery, and practical skills in Python, TensorFlow, Keras, SQL and reproducible containerized workflows. Known for rapid adaptation and usability-focused prototyping, she blends domain knowledge in biology with hands-on ML engineering to translate complex biomedical data into actionable insights. Colleagues describe her as an ardent learner who seeks cross-disciplinary connections and aims to drive measurable impact on global health.
8 years of coding experience
5 years of employment as a software developer
Masters in Health Informatics Medical and computer science, Masters in Health Informatics Medical and computer science at Karolinska Institutet
Bachelor of Technology (B.Tech.) Biotechnology, Bachelor of Technology (B.Tech.) Biotechnology at Manipal Institute of Technology
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at Stockholm University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.