Monique Kealohilani Manners graduated magna cum laude from the University of Michigan with a B.S.E. in Industrial and Operations Engineering. She has worked as an Engineer Technician II at U of M since 2014, where she has performed regression analysis to measure building performance, optimized daily operations using various software tools, and evaluated asset criticality to improve maintenance scheduling. Previously an Assistant Researcher at U of M from 2013-2015, she assisted in developing predictive clinic models and applied data mining techniques to improve disease screening.
1. MONIQUE KEALOHILANI MANNERS
2408 Stone Road Ann Arbor, MI 48105
mmanners@umich.edu 734.474.3718
EDUCATION UNIVERSITY OF MICHIGAN Ann Arbor, MI
College of Engineering
B.S.E., Industrial and Operations Engineering, Dec. 2016
Graduating Magna Cum Laude, 3.54/4.00
Selected as the 2016 Center for the Education of Women Irma Wyman Scholar
Awarded University Honors in 2015 for academic excellence
2015 Undergraduate Achievement Award
COLLEGE OF THE ALBEMARLE Elizabeth City, NC
Dual degree - Associate in Science/ Associate in Arts, May 2013
Graduated Summa Cum Laude, 4.00/4.00
Served as Phi Theta Kappa Honor Society Vice President and SGA Treasurer
Coordinated charity events to collect canned goods, used books, and old clothing for
donation to local organizations, such as the Food Bank of the Albemarle
Awarded the 2013 Campus Cup for outstanding service to the college
EXPERIENCE UNIVERSITY OF MICHIGAN Ann Arbor, MI
2013-Present Plant Mechanical Engineering and Energy Management
Engineer Technician II (2014 - Present)
Performed regression analysis on the energy consumption of University buildings to
measure facility performance, increasing the accuracy of the model fit by over 50%
Employed a new clean energy analysis software and designed an Excel program to easily
update the created files, allowing for building monitoring on a monthly basis
Optimized daily operations by using tools such as Visual Basic Applications (VBA),
Business Intelligence and Reporting Tools (BIRT), and MySQL to gather, organize, and
analyze system data
Evaluated the criticality of assets in campus buildings to improve scheduling of
preventative maintenance
Examined temperature and relative humidity data using statistics software to determine
the most impactful causes of building complications
Industrial and Operations Engineering
Assistant Researcher (2013 - 2015)
Assisted in the development of a predictive model for clinics that could be used to
schedule IVF cycles more efficiently, allowing for better allocation of clinic resources
Designed a VBA simulation to assess the performance of staff scheduling approaches
Collaborated with a team to apply data mining techniques to unstructured patient data
with the aim of improving screening for Glaucoma and Hepatocellular Carcinoma, a
deadly form of liver cancer
Conducted literature searches to identify current critical research and information, as well
as potential research methods or models
ADDITIONAL Experience with building automation software, as well as simulation programs, such as
Trane TRACE 700, DesignBuilder, and ProModel
Proficient in PL/SQL, C++, and Python, in addition to VBA and MySQL