I am currently a Postdoctoral fellow at UC Berkeley’s Foundations of Data Analysis (FODA) Institute and also a fellow at Berkeley Institute for Data Science (BIDS). Previously, I did my PhD in Statistics at the University of Chicago where I was fortunate to be advised by Rina Foygel Barber. My PhD research was supported by Kwanjeong Fellowship.
My current research is centered on high-dimensional statistics and (non)convex optimization with a focus on sparse and low rank optimization, statistical inference, and local graph clustering. I am also interested in applications of statistical and optimization methods to diverse areas such as medical imaging, population genetics, and healthcare. I also look forward to exploring research in other areas of statistics and machine learning!
- Ph.D. in Statistics, 2018
- Advisor: Rina Foygel Barber
- M.S., Statistics, 2013
- B.S., Statistics, B.A., Economics, Minor in Mathematics, 2011
Preprints / Publications
An equivalence between stationary points for rank constraints versus low-rank factorizations. Wooseok Ha, Haoyang Liu, and Rina Foygel Barber. submitted. arXiv:1812.00404
Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization. Wooseok Ha, Emil Y Sidky, Rina Foygel Barber, Taly Gilat Schmidt, and Xiaochuan pan. Medical Physics. arXiv:1805.00162. Selected as Editor’s Pick designation
Gradient descent with nonconvex constraints: local concavity determines convergence. (Code.) Rina Foygel Barber and Wooseok Ha. Information and Inference. arXiv:1703.07755
X-ray spectral calibration from transmission measurements using Gaussian blur model. Wooseok Ha, Emil Y Sidky and Rina Foygel Barber. Proceedings of the SPIE conference on Medical Imaging 2017: Physics of Medical Imaging.
Trimmed conformal prediction for high-dimensional models. Wenyu Chen, Zhaokai Wang, Wooseok Ha, Rina Foygel Barber. arXiv:1611.09933
Robust PCA with compressed data. Wooseok Ha and Rina Foygel Barber. 28th Annual Conference on Neural Information Processing Systems (NIPS 2015).
Alternating minimization based framework for simultaneous spectral calibration and image reconstruction in spectral CT. Wooseok Ha, Emil Y Sidky, Rina Foygel Barber, Taly Gilat Schmidt, and Xiaochuan pan. 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference.
Simultaneous spectral scaling and basis material map reconstruction for spectral CT with photon-counting detectors. Emil Y Sidky, Taly Gilat Schmidt, Rina Foygel Barber, Wooseok Ha, and Xiaochuan Pan. 4th International Conference on Image Formation in X-ray Computed Tomography (CT meeting 2016).