
Kristina Monakhova, Ph.D.
Assistant Professor
Department of Computer Science
Field of Applied Mathematics member
Cornell University
Assistant Professor
Department of Computer Science
Field of Applied Mathematics member
Cornell University
I am an Assistant Professor in the Department of Computer Science at Cornell. I work on co-designing optics and algorithms to create better, smaller, and more capable cameras and microscopes.
Before Cornell, I was a postdoctoral fellow at MIT working with Sixian You and George Barbastathis, and supported by the MIT Postdoctoral Fellowship for Engineering Excellence. I obtained my PhD in Electrical Engineering and Computer Sciences from UC Berkeley with Laura Waller. During my PhD, I was affiliated with the Berkeley Artificial Intelligence Research (BAIR) Lab and was supported by the NSF GRFP fellowship. My PhD dissertation was on Physics-Informed Machine Learning for Computational Imaging.
I lead the Computational Imaging Lab @ Cornell and advise several wonderful PhD students.
email: monakhova[at]cornell.edu
office: Gates 446
CS6662: Computational Imaging, Cornell University, Fall 2024
ECE 285: Computational Imaging Systems, UCSD, 'Robust and physics-informed machine learning for low light imaging', Spring 2024
6.300: Signal Processing, MIT, 'Computational Imaging: using signal processing to make better imaging systems', Spring 2024
Jun 2025 | Cassandra is giving a spotlight presentation at the Workshop on Uncertainty Quantification for Computer Vision (UNCV) at CVPR on her work on conformal prediction for imaging inverse problems! |
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Jun 2025 | Kristina was awarded an Amazon Research Award for her proposal on ‘Trustworthy extreme imaging for science using interpretable uncertainty quantification’ as part of AWS AI! |
Apr 2025 | Kristina is co-organizing the Computational Cameras and Displays workshop (CCD) at CVPR. Submit your posters by April 25th and come join us in Nashville this June! |