David Stanley

David Stanley is a Lead Machine Learning Engineer at Neurable, a position he has held since May 2022. He previously served as a Senior Machine Learning Engineer at the same company starting in February 2021. His work primarily focuses on developing machine learning algorithms for classification tasks and implementing real-time models based on neural data.12

Education and Early Career

David obtained his PhD in Bioengineering and Biomedical Engineering from the University of Florida (2009-2013) after completing a Master of Applied Science in Electrical Engineering at the University of Toronto (2007-2009). He also holds a Bachelor of Applied Science in Engineering Science with a Physics Option from the University of Toronto (2002-2007).14

Before his tenure at Neurable, David was involved in various roles, including as a Research Scientist at Boston University's Cognitive Rhythms Collaborative, where he applied advanced modeling techniques to study brain dynamics. He also worked as a Wireless Technology Analyst at Bell and participated in environmental roles as an Ontario Ranger.13

Contributions and Research

David's contributions to machine learning include developing supervised and unsupervised models and conducting scientific analyses of neural data. He has also been involved in creating applications like MindPocket, which aids students in learning through spaced repetition techniques.13

In addition to his professional experience, he has earned several certifications related to machine learning and artificial intelligence from Stanford Online and Coursera, further enhancing his expertise in the field.14

For more detailed insights into his professional journey, you can view his LinkedIn profile under the username davearthurstanley.2