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NEGIN MOGHADASI, PhD, MS, ME, MCM
* Post-Doc and Data Science, Machine Learning Consultant | Systems & Information Engineering | University of Virginia (UVA)
* Ph.D. | Systems & Information Engineering | University of Virginia (UVA)
Research focuses on Data Science, Machine Learning/ Deep Learning, Data Mining, Trustworthy AI in Healthcare, AI in Healthcare
Ph.D. Endowed Graduate Fellowship Award Winner (Academic Excellence and Scholarship)
University of Virginia Systems and Information Engineering Department Outstanding Award Recipients
Recipient of the University of Virginia Systems and Information Engineering Graduate Student Service Award Recognition of Outstanding Services to the Department
Selected to Join the Prestigious Membership in Sigma XI Society, the Scientific Research Honor Society - Sigma XI member
The Society for Risk Analysis Travel Award Winner
* Master of Engineering in Systems and Information Engineering | University of Virginia (UVA)
* Master of Project Management | University of Southern California (USC)
* Master of Science in Industrial and Product Design | University of Tehran (UT)
LEED GA, ASSOCIATE AIA
ABOUT ME

Currently, I work as a post-doc and data science,machine learning consultant at the University of Virginia (UVA). I hold a Ph.D. and a master in systems and information engineering from the University of Virginia (UVA), a master degree in project management from the University of Southern California (USC) and a master degree in industrial and product Design from the University of Tehran.
My research interest lies in applying machine learning, deep learning and data science/Data mining methods to solve real-world complex problems. Also, I am interested in the risks of AI and explainable AI (XAI) in healthcare.
I support sponsored research projects, at UVA center for risk management of engineering systems and visual intelligence laboratory, in collaboration with MIT, Johns Hopkins University, HDZ-NRW Hospital (Largest Heart Transplant Center in Europe), Western University of Medical Sciences, the Port of Virginia, and the Virginia Department of Transportation (VDOT). I served for three years as a Graduate Teaching Assistant in the National Science Foundation I/UCRC Center for Hardware & Embedded Systems Security and Trust (NSFCHEST.org). I led an undergraduate Capstone team of five students for two semesters in 2020-21.
Prior to initiating my Ph.D. journey, I was a senior associate consultant and data analyst on large-scale projects in Los Angeles, CA. Working as a virtual design engineer in Los Angeles, CA. I was a data science and machine learning intern at Johnson and Johnson MedTech during the Summer of 2023.
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