M Vasilescu
Chief Science Officer at Tensor Vision Technologies
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolM. Vasilescu is a Chief Science Officer and researcher who pioneered a unified tensor framework for forward and inverse causal inference, applying tensor factor analysis to problems in computer graphics, computer vision, and machine learning. Her TensorFaces work, funded by DoD, IARPA and NSF, demonstrated how tensor methods can model data-formation mechanisms to disentangle causal factors, earning broad press coverage and recognition as an MIT Technology Review TR100 honoree. With roles at UCLA, the MIT Media Lab, NYU Courant, and a decade-plus leading Tensor Vision Technologies, she bridges foundational research with product-oriented development in image science and AI. Educated at MIT and the University of Toronto, she combines deep theoretical insight with practical deployment experience—an underappreciated strength is her sustained success translating niche mathematical tools into explainable, real-world sensory-data systems.
11 years of coding experience
7 years of employment as a software developer
Engineer's degree, Engineer's degree at Massachusetts Institute of TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Toronto
Github Skills (6)
writers6
markdown5
outliner4
editor3
novel2
check-in2
Programming languages (2)
Github contributions (5)
avasilescu/PyCompWakeUp
Jan 2015 - Jan 2016
Contributions:19 commits, 13 pushes, 1 branch in 1 year
avasilescu/ud120-projects
Jan 2016 - Apr 2017
Contributions:20 pushes in 1 year 3 months
ud120code-projectudacity
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.