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Nathanael Weill
PhD in Pharmaceutical Science
Nathanael Weill is an experienced Director of Data Science based in Montreal, leading innovation and AI-driven solutions across multiple sectors. With over a decade of experience, Nathanael has a strong background in developing user-centric AI products that align with strategic business objectives. He currently manages three AI teams, overseeing the delivery of AI solutions from concept to production, ensuring they meet key business goals.
In addition to his industry experience, Nathanael is a Program Advisor and Lecturer at McGill's School of Continuing Studies, where he guides the Data Science and Applied AI program and teaches courses on predictive modeling and time series analysis. His work at McGill ensures that the curriculum remains aligned with industry trends and technologies.
Nathanael's career highlights include leading diverse data science initiatives in life sciences, music technology, IoT, telecommunications, and logistics and transportation. He has also played a key role in projects where he partnered with leading research institutions to integrate cutting-edge academic insights into practical industry solutions.
Machine Learning, Deep Learning, MLOps, Data Analysis, Natural Language Processing, Predictive Modeling, Statistics, Data Visualization, Big Data Technologies, Algorithm Development
Machine Learning, Deep Learning, MLOps, Time Series Analytics