Alexander Kirillov is a leading researcher in multimodal AI at Thinking Machines. He previously led a research group at OpenAI and was a Research Scientist at Metas FAIR lab, where he led the influential "Segment Anything" (SAM) project. He holds a PhD from Heidelberg University and specializes in computer vision.
He created "Segment Anything, " a foundational model and the largest-ever dataset for image segmentation, significantly advancing the field of computer vision.
Laura G.
Research Engineer at FAIR at Meta
United States
Overview
Topics They Care About
Foundation Models
Led the Segment Anything (SAM) project with the explicit goal of creating a foundation model for image segmentation, inspired by trends in NLP.
Image Segmentation
His primary research focus, demonstrated by his leadership on the groundbreaking Segment Anything (SAM and SAM 2) projects and other publications in the field.
Multimodal AI
His current role at Thinking Machines and his prior leadership position at OpenAI are focused on developing and advancing multimodal AI models.
Media Appearances
Laura has no verified media appearances
Work History
9-2018
Research Engineer at FAIR at Meta
2-2016 - 6-2018
Teaching Assistant at MIT Department of Electrical Engineering and Computer Science
6-2017 - 8-2017
Software Engineering Intern at Facebook
6-2016 - 8-2016
Software Engineering Intern at Facebook
Education
2017 - 2018
Master's of Engineering from Massachusetts Institute of Technology
2013 - 2017
Bachelor’s Degree from Massachusetts Institute of Technology
More Information
Social Presence :
Prographics :
Exp : 7
Location : United States
Job Level : Middle
Designation : Research Engineer at FAIR at Meta
