Sharvaj Kubal

Postdoctoral Fellow at the Broad Institute of MIT and Harvard

Sharvaj Kubal

Publications

Refereed Publications

2025
J. Kim, S. Kubal and G. Schiebinger.
Optimal sequencing depth for single-cell RNA-sequencing in Wasserstein space.
The Annals of Statistics, 53(6), 2642–2672.
2025
S. Kubal, C. Campbell and E. Robeva.
Log-Concave Density Estimation with Independent Components.
SIAM Journal on Mathematics of Data Science, 7(3), 1465–1490.
2025
M. Heitz, Y. Ma, S. Kubal and G. Schiebinger.
Spatial Transcriptomics Brings New Challenges and Opportunities for Trajectory Inference.
Annual Review of Biomedical Data Science, 8, 1–19.
2021
S. Kubal, E. Lee, C. Y. Tay and D. Yong.
Multitrack Compressed Sensing for Faster Hyperspectral Imaging.
Sensors, 21(15), 5034.

Preprints

2025
S. Kubal, N. Graham, M. Heitz, A. Warren, M. P. Friedlander, Y. Plan and G. Schiebinger.
STARK denoises spatial transcriptomics images via adaptive regularization.
arXiv:2512.10994.
2025
M. P. Friedlander, S. Kubal, Y. Plan and M. S. Scott.
Average-case thresholds for exact regularization of linear programs.
arXiv:2510.13083.

Conferences

2025
Statistical strategies for optimizing and denoising single-cell transcriptomics data.
Oral presentation at the SIAM Pacific Northwest Biennial Meeting.
2025
Log-concave density estimation with independent components.
Oral presentation at the SIAM Pacific Northwest Biennial Meeting.
2020
Multitrack Adaptive Compressive Hyperspectral Imaging for Cell Monitoring Applications.
Abstract published at Frontiers in Optics, pp. JTu1B-28, Optica Publishing Group.