Scholar
Daniel Mckenzie
Google Scholar ID: kP12IskAAAAJ
Assistant Professor, Colorado School of Mines
Citations & Impact
Citations
501
H-index
11
i10-index
12
Publications
20
Co-authors
19
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- An up-to-date list of publications can be found on his Google Scholar page.
Research Experience
- Co-leads the Mines Optimization and Deep Learning (MODL) research group with Samy Wu Fung, and hosts a weekly seminar.
Education
- PhD: University of Georgia, graduated May 2019, supervised by Ming-Jun Lai; Master's and Bachelor's: University of Cape Town; spent a semester at the University of Bayreuth.
Background
- Daniel McKenzie is an Assistant Professor in the AMS department at Colorado School of Mines. His research interests include Derivative-Free optimization, Learning to Optimize, and AI for Science.
Miscellany
- Enjoys teaching upper and lower division courses, and strives to make his classrooms a welcoming space for all. This semester he is teaching Math 500: Linear Vector Spaces.
