Summary
Mehak Arora is a PhD researcher in Electrical and Computer Engineering with nine years of experience applying machine learning to medical imaging and critical-care prediction. Currently a Graduate Research Assistant at Duke’s Kamaleswaran Lab after doctoral work at Georgia Tech, she blends clinical collaborations in surgery and anesthesiology with hands-on systems development. Her research portfolio includes annotation-efficient vertebra segmentation using conditional GANs, low-dose CT denoising experiments, and lightweight CNN kernel design—work that went from exploratory research to deployable codebases. She has industry experience at Siemens Healthineers and a history of international research internships, reflecting comfort moving between academic labs and product-focused teams. Mehak’s background shows a pattern of making data-hungry models more practical—either by reducing annotation needs or synthesizing noisy training pairs—which signals a pragmatic, deployment-minded approach to medical AI. Based in Durham, NC, she combines deep technical rigor with a track record of translating research into usable software.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at National Institute of Technology Karnataka
ICSE 10th Grade, ICSE 10th Grade at Vidya Niketan School Hebbal
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Georgia Institute of Technology
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Duke University Pratt School of Engineering
High School Diploma, PCMC, High School Diploma, PCMC at National Public School Rajajinagar
English, Hindi