Working in the Michigan Institute for Imaging Technology and Translation (MIITT) to implement novel MRI developments in clinical settings.

● Created alternative to subjective surgical decision-making process through the development of a quantitative model of cardiac efficiency based on ten years of clinical imaging data, potentially improving patient outcome.● Replaced outdated MRI methods incapable of acquiring required study data with cutting-edge software, improving measurement efficiency, accuracy, and precision.● Improved lab efficiency and knowledge transfer through mentoring of new graduate students and documentation of optimal data analysis workflows.● Increased rigor of clinical studies by providing consultation on MRI methodology and analysis techniques for scientist and clinicians, resulting in higher quality data for analysis.

● Ensured smooth execution of multi-million dollar research studies by managing data storage, performing data analysis, and coordinating data sharing with collaborators.● Eliminated the need for costly and time-consuming repeat MRI exams by developing a MATLAB algorithm to clean and correct inaccurate scan data, saving thousands of dollars in repeat scans.● Improved understanding of heart failure in prematurely born subjects through analysis of hundreds of gigabytes of MRI data and identification of a previously unreported biomarker, resulting in funding for multiple follow-up studies.● Represented university through 8 invited oral presentations at international conferences to audiences of 100+ people.

Designed cosmic radiation detectors and radon shields to be used with the SNO+ experiment at SNOLAB.

Optimized techniques for graphene growth and achieving maximum photolithography resolution.