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Naomi Goldapple

Head of AlayaLabs

Naomi's current challenge as Head of AlayaLabs is to support AlayaCare's innovation strategy through applied research in machine learning and optimization applications. Naomi has spent the last few years leveraging and exploiting new technologies to build and commercialize products that solve real business problems.
Prior, Naomi was the VP Business Development at Nexalogy, responsible for commercializing the suite of products, forging channel partnerships and growing the sales. Naomi’s unique experience combines both start-up entrepreneur and seasoned IBM technology and business consultant.

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Simon Maxwell-Stewart

Lead Data Scientist

Simon Maxwell-Stewart is the Lead Data Scientist at AlayaCare. AlayaCare looks to deliver the next disruptive solution for the industry by combining remote patient monitoring, clinical documentation and back office software supported by machine learning and optimization. Simon’s background was in Physics before moving over to machine learning 5 years ago. In that time he has lead multiple data science teams, deployed two ML models for a major network in the AdTech industry, and developed a new technique for the airline industry combining Optimization Research and Graph Neural Networks. Simon is an inventor with one registered patent and is striving for his next in the home healthcare industry.

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Pierre Leca

Data Engineer

Pierre has been apart of the AlayaCare and AlayaLabs team since the beginning as a developer. Now as a Data Architect on the AlayaLabs team, he will work on efficiently brining the right data to each one of our clients. He started his career in the aeronautic industry, then quickly moved into the web. He also worked at a gamification company when he first arrived in Canada almost 10 years ago. As a long time musician, Pierre uses his creativity to always find a solution to a problem.

Our projects

Employee Retention Dashboard

Employee retention dashboards track key metrics to help spot the warning signs of churn. The satisfaction score model predicts which employees are at risk of churning.

Visualize early warning signs of churn such as late clock-ins, disengagement, low offer acceptance rates, and punctuality.
Monitor employee satisfaction in real-time to identify trends and apply targeted intervention strategies.
Drill down on personalized benchmarking metrics to compare turnover rates across franchises and offices.

Schedule Optimization

Schedule and route optimization tools automate operational workflows to help coordinate employee’s hours efficiently and cost-effectively.

Configure the schedule optimizer to build schedules that meet your business priorities.
Match caregivers to visits with an automated decision support tool that considers criteria such as maximizing continuity of care, preferred work hours, employee skills, and minimizing travel time and overtime.
Increase velocity on overall shift fulfilment and save scheduling costs.