Work seamlessly with AI to systematically map biochemical interactions between small molecules and causes of disease. Iterative cycles of virtual molecular design and experimentation power AI and machine learning models, which in turn guide the next cycle of design.
Designing and applying bioinformatics data analysis tools to challenges in Life Science Example projects include the implementation of new algorithms in R/Python for experimental datasets or building custom analysis pipelines
Senior professional with rich experience in designing and implementing analytical data warehouses (DWH), OLAP cubes, ETL, and business intelligence (BI) applications.