School of Engineering
Showing 161-170 of 526 Results
-
Matthew Harvey
Chief Corporate Engagement & Global Partnerships Officer, Stanford Engineering Center for Global and Online Education
BioMatt Harvey is the chief corporate engagement and global partnerships officer with the Stanford Engineering Center for Global and Online Education (CGOE). He is responsible for leading development of corporate, collaborator, and prospective donor relationships to drive sustainable engagement and growth opportunities for CGOE and Stanford Online. As a member of CGOE’s senior leadership team, he also serves as lead for the organization’s innovation and strategic roadmap initiatives.
Matt previously served at CGOE as senior director of global partnerships and professional programs, where he developed global collaboration relationships and provided strategic direction for CGOE's professional programs and open course portfolios. Prior to that as executive director of the Stanford Technology Ventures Program (STVP), the entrepreneurship center in Stanford Engineering, he led external relations and provided direction for STVP’s operations, communications, and digital products, including Stanford eCorner, a multimedia digital learning platform to support entrepreneurship and innovation educators and aspiring entrepreneurs around the world. Prior to joining Stanford, Matt worked in content strategy and marketing roles for firms in the tech, entertainment, and non-profit sectors. A Silicon Valley native, Matt holds a degree in Television and Film from San Jose State University. -
Trevor Hastie
John A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences
On Leave from 01/01/2025 To 03/31/2025Current Research and Scholarly InterestsFlexible statistical modeling for prediction and representation of data arising in biology, medicine, science or industry. Statistical and machine learning tools have gained importance over the years. Part of Hastie's work has been to bridge the gap between traditional statistical methodology and the achievements made in machine learning.
