Improving CSP problem formulation for physician/resident call scheduling is the main activity to be undertaken. This will have a large impact on the healthcare systems currently served with Mesh AI. On the algorithm side, better solutions will be reached at smaller time and computation resource levels. This will reduce engine costs, power consumption, and most importantly will lead to better allocation of ever-shrinking human resources to healthcare tasks and needs. Not only highly qualified healthcare leaders and administrators will spend less time in the setup and customization steps but also every single instance of generating a ‘call schedule’ will be done with smaller time investments by an already over-burdened HCP (health care providers) community.

Research and analysis of CSP problems formulated into the Mesh AI engine, translation of the rules into machine constraints, CST setup, testing and customization.

The student will be directly supervised by the company CEO, CTO, the Chief of Clinician Success to learn the skills required and expand on her competencies in CSP formulation and solving.