Summary
Azad Sadr is a data scientist with 11 years of analytical and engineering experience, currently applying Bayesian and deep learning methods to cancer genomics at the Cancer Data Science Laboratory. He has a proven record of turning domain complexity into usable tools—designing the BASILICA algorithm and shipping R/Python packages for feature extraction and analysis. His background spans healthcare operations, simulation-based decision support, and production analytics where he automated data pipelines (saving ~60 hours/month) and improved productivity by ~20%. Comfortable working across North America, Asia, and Europe, he brings strong communication and teaching experience from lecturing and graduate instruction. Azad combines theoretical rigor in Bayesian statistics with practical optimization and software engineering to drive data-driven decisions in clinical and industrial settings.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Master's degree at Wayne State University
Università degli Studi di Trieste
English, Turkish, Persian, Italian