James McErlain

Director: Machine Learning and AI Research, CS Labs at Credit Suisse
Summary
James McErlain is a highly motivated and inquisitive machine learning leader, researcher, and strategist with extensive experience in product management focusing on AI, computational geometry, and statistical methods.
He brings years of experience in business insights, new product development, and profit and loss management.
James is skilled in leading and managing teams, as well as developing organizational strategies for the implementation and delivery of AI and ML solutions across various industries.
His diverse career background spans industries such as finance, geo-spatial, consumer electronics, embedded systems, sensors, and online retail.
His research interests include predictive modeling, deep learning classification and segmentation, as well as NLP methods.
Apart from his professional endeavors, James McErlain is an avid outdoorsman, DIY maker, fabricator, and combat sports enthusiast.
He pursued his education by studying Neuroscience and mathematics for his BS at the University of Maryland College Park, and later obtained an MA in Mathematics from SFSU.
James has held prominent roles in prestigious organizations such as being the Director of Machine Learning and AI Research at CS Labs within Credit Suisse.
He has also worked as a Senior Machine Learning Research Scientist as well as a Senior Data Scientist at Apple.
His previous roles include Senior Data Scientist and Manager at SellPoints, Technical Lead and Manager at Humin, and Marketing Data Scientist at REVOLVE.
His academic experience includes serving as a GK-12 NSF Graduate Fellow at NSF-SFSU, a Graduate Teaching Assistant at SFSU, and a Science and Math Education Consultant at Techbridge and Oakland Unified School District.
James McErlain has also been involved in Curriculum Development Specialist at KQED and as the Operation SMART Coordinator at Girls Incorporated of Alameda Co.