Leila Mousapour

Title: Leila Mousapour: Innovator in Probabilistic Estimation

Introduction

Leila Mousapour is a prominent inventor based in Ottawa, Canada. She has made significant contributions to the field of machine learning and forecasting through her innovative work. Her expertise lies in developing systems and methods that enhance probabilistic estimation in tree-based forecast models.

Latest Patents

Leila holds 1 patent for her invention titled "Systems and methods for probabilistic estimation in tree-based forecast models." This patent describes a process where a historical data set is pre-processed once per trained machine-learning model. The invention forecasts the value of an unknown sample while tracking a leaf path of that sample. The leaf path is limited to a subset of trees in each trained machine model. Additionally, it determines a set of related historical samples based on the leaf path and establishes a set of quantiles from the unknown sample's leaf path. Inventory is then loaded according to these quantiles.

Career Highlights

Leila is currently employed at Kinaxis Inc., where she applies her skills in machine learning and forecasting. Her work at Kinaxis has allowed her to contribute to advancements in supply chain management and predictive analytics.

Collaborations

Leila collaborates with talented individuals such as Andrii Stepura and Sebastien Ouellet, who are also part of her team at Kinaxis Inc. Their combined expertise fosters an environment of innovation and creativity.

Conclusion

Leila Mousapour is a remarkable inventor whose work in probabilistic estimation has the potential to transform forecasting methodologies. Her contributions to the field are invaluable, and her collaboration with skilled professionals further enhances her impact in the industry.