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Resume (English only)
Academic Achievements
- Paper 'QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems' published on arXiv preprint arXiv:2507.14760
- Paper 'Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy' published in Optics Express, received Best Paper Award at SPIE Photonics West 2024
- Paper 'Exact-match search with functional variant prediction enables automated DNA screening' published on bioRxiv
- Gave a spotlight presentation at CVPR for the UQ in Vision Workshop
- Project accepted for a talk at SPIE 2024
Research Experience
- Worked at the Computational Biophotonics Lab at MIT, optimizing computational algorithms for microscopy image reconstruction
Education
- Ph.D. in Computer Science, Cornell University, Advisor: Kristina Monakhova
- B.S. in Computer Science and Engineering, MIT, Worked at the Computational Biophotonics Lab headed by Sixian You, optimizing computational algorithms for microscopy image reconstruction
Background
Currently a 2nd year Computer Science Ph.D student at Cornell University, advised by Kristina Monakhova. Broadly interested in quantifying uncertainty in computational imaging methods for scientific applications.