Summary
Sanjana Tule is a machine learning researcher and data scientist with 9 years’ experience applying deep learning and optimisation to real-world problems, currently working as an AI Engineer at the University of Queensland. During her PhD she built transformer-based models and mixed-integer programming frameworks for protein sequence evolution, combining algorithm design with scalable Python data pipelines and large-scale biological data analysis. Her background spans both industry and academia—data engineering and analytics roles at Open Universities Australia and Mindset Health through to research scholarships—giving her a rare blend of production-grade data workflows and rigorous modelling expertise. She is particularly skilled at translating optimisation theory into practical ML systems and enjoys tackling problems where structured mathematical methods meet modern deep learning. Based in Queensland, Australia, she leverages experience across Tableau/Power BI and discrete optimisation to deliver interpretable, impactful solutions beyond pure model accuracy.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy, Bioinformatics, Machine Learning and AI focused, Doctor of Philosophy, Bioinformatics, Machine Learning and AI focused at The University of Queensland
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Cummins College of Engineering
Discrete Optimization, Discrete Optimization at Coursera
Master's degree, Data Science, Master's degree, Data Science at Monash University