معرفی
David O'Neill is a Teaching Professor of Biomedical Engineering and Michael Jaharis Director of Experiential Learning at Northwestern University's McCormick School of Engineering. He holds a DPhil in Engineering Science from the University of Oxford (2012) and an MEng in Engineering Science from the same institution (2008), alongside an LLCM in Conducting from the London College of Music (2018). His research spans medical device development, respiratory physiology modeling, and innovative curriculum design, with a focus on mastery-based grading and vertical curricula.
He has extensive teaching experience, including roles as College Lecturer at Oxford's New College and Senior College Lecturer at Keble College. At Northwestern, he teaches courses such as BME 207 (Experimental Design), BME 307 (Quantitative Experimentation), and DSGN 106 (Design Thinking).
His work with Prof. Casey Ankeny explores inclusive teaching practices and pedagogical innovations. Research outputs include advancements in gas exchange measurement, CO₂ transport modeling, and adaptive remote learning strategies. He leads curriculum reforms emphasizing synopticism and student-centered learning.
- Education:
- DPhil, Engineering Science, University of Oxford, 2012
- MEng, Engineering Science, University of Oxford, 2008
- LLCM, Conducting, London College of Music, 2018
- Key Roles:
- Michael Jaharis Director of Experiential Learning
- Teaching Professor of Biomedical Engineering
Research Focus: Combines biomedical engineering with educational innovation. Current projects include:
- Development of standards-based grading systems
- Vertical curriculum design for biomedical engineering
- Collaborative pedagogy with Prof. Ankeny
- Medical device prototyping for respiratory diagnostics
Teaching Contributions:
- Oversees the Biomedical Engineering Design Capstone sequence (BME 390-1/2/3)
- Redesigned laboratory courses for remote/hybrid learning
- Advocates for reflective practices in engineering education
Curriculum Development: Implements mastery-based grading and synoptic learning pathways to enhance student problem-solving and interdisciplinary understanding.
