People

Principal Investigator

Davis J. McGregor

Assistant Professor - Mechanical Engineering | University of Maryland, College Park

Davis J. McGregor, Ph.D. is Director of the MIRAGE Lab and Assistant Professor of Mechanical Engineering at the University of Maryland, College Park.

Dr. McGregor is interested in how software and data can be leveraged to improve manufacturing and part qualification. He investigates methods for automating metrology of diverse part geometries using computer vision and computational geometry, and is developing machine learning models for rapidly qualifying additively manufactured parts. He is especially interested in developing models for qualifying part designs that have never previously been made, enabling first-time-right manufacturing strategies for additive manufacturing.

Before joining the University of Maryland in 2023, Dr. McGregor was Staff Manufacturing Scientist at Fast Radius, which was acquired by SyBridge Technologies in December 2022. While there, he led the development of manufacturing intelligence algorithms and the framework for continuous feedback and improvement of machine learning models.

Dr. McGregor received a Ph.D. from the University of Illinois Urbana-Champaign. He has published 11 journal articles with over 250 citations and is part of 5 pending patent disclosures.

Ph.D. Students

Ziteng (Jack) Wen

Ziteng (Jack) Wen received his B.S. and M.S. degrees in Mechanical Engineering from the University of Southern California in 2016 and 2017, respectively. He joined the MIRAGE Lab in 2024, where his research focuses on using structured light scanning and machine learning to qualify additively manufactured parts.

New Student Joining Fall 2024!

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Master's Students

Brandon Hill

Brandon Hill received his B.S. degree in Mechanical Engineering from the University of Maryland, College Park in 2023. His undergraduate work focused extensively on additive manufacturing operations. He joined the MIRAGE Lab in 2024, where his research focuses on applying advanced metrology and AI to additive manufacturing, with the goal of drastically improving initial part outcomes and expanding the applications of the technology.

New Student Joining Summer 2024!

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Undergraduate Students

Summer 2024

Summer 2024

Summer 2024

Fall 2024