Sumedha Singla is a research scientist and software engineer with over a decade of industrial and academic experience at the intersection of computer vision, medical imaging, and AI. Currently at Meta, she develops state-of-the-art video understanding models using transformers, building on a PhD focused on causal inference, multi-modal medical learning, and clinically interpretable lung CT representations. Her work spans practical product-focused engineering (Adobe, Facebook) and deep research (University of Pittsburgh, Kitware), including GAN-based model interpretation and domain-transfer segmentation for medical images. Skilled in C++, Python, ITK, and end-to-end ML systems, she blends rigorous research with production-ready solutions. Notably, she has translated vascular modeling and 3D image analysis into interactive tools and open-source contributions, reflecting a strong applied-research bent. Based in Pennsylvania, she describes herself as an “artist at heart,” bringing creativity to technically complex problems.
10 years of coding experience
5 years of employment as a software developer
Bachelors of Technology (BTech), Computer Science, Bachelors of Technology (BTech), Computer Science at Thapar Institute of Engineering and Technology
The University of Utah
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Pittsburgh
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