Ainara Arcelus has a background in applying integer and dynamic programming techniques to healthcare operations and transportation asset management problems.
Prior to joining End-to-End, Ainara worked at a consulting firm helping government agencies determine the optimal allocation of funds to support public transportation projects. Previously, Ainara was a research assistant at the MIT Sloan-MGH collaboration. There, Ainara worked on a variety of optimization projects at the hospital, such as scheduling patients in the cancer center or determining inventory levels for surgical instruments. Ainara likes coding in Python, Julia, and R.
Ainara holds an A.B. in Applied Mathematics from Harvard College.