I'm an assistant professor at the Department of Statistics at University of Chicago. I am also a member of Committee on Computational and Applied Mathematics (CCAM). I am interested in computational problems in structural biology and quantum many-body physics.
I was extremely fortunate to have Amit Singer at Princeton as my Ph.D. adviser during 2012-2016, Lexing Ying at Stanford as my post-doc mentor during 2016-2019, and Phuan Ong at Princeton supervising my master thesis in experimental physics during 2010-2012.
Ph.D., Physics, Princeton University (2016).
B.Sc., Physics, University of Virginia (2009).
Scientific applications of convex optimization, neural-network, tensor-network.
Computational structural biology problems from NMR spectroscopy and Cryo-EM data.
Computational physics problems for strongly correlated system.
Matching and registration problems with medical and biological applications.
Publications and Preprints
Committor functions via tensor networks
Y. Chen, J. Hoskins, Y. Khoo, M. Lindsey. Preprint.
Scalable semidefinite programming approach to variational embedding for quantum many-body problems.
Y. Khoo, M. Lindsey. Preprint.
Joint Community Detection and Rotational Synchronization via Semidefinite Programming.
Y. Fan, Y. Khoo, Z. Zhao. Preprint.
Multiscale semidefinite programming approach to positioning problems with pairwise structure.
Y. Chen, Y. Khoo, M. Lindsey. Preprint
Maximizing robustness of point-set registration by leveraging non-convexity.
C. Orozco Bohorquez, Y. Khoo, L. Ying. Preprint.
Bias correction in Saupe tensor estimation.
Y. Khoo, A. Singer, and D. Cowburn. Preprint.
A semigroup method for high dimensional committor functions based on neural network.
H. Li, Y. Khoo, Y. Ren, L. Ying. Mathematical and Scientific Machine Learning 2021
NMR Assignment through Linear Programming.
J.F.S. Bravo-Ferreira, D. Cowburn, Y. Khoo, A. Singer. Journal of Global Optimization. 2021
Efficient construction of tensor ring representations from sampling.
Y. Khoo, J. Lu, and L. Ying. Multiscale Modeling and Simulation 2021.
Semidefinite relaxation of multi-marginal optimal transport for strictly correlated electrons in second quantization.
Y. Khoo, L. Lin, M. Lindsey, L. Ying. SIAM Journal on Scientific Computing, 2020
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization.
S. Liang, Y. Khoo, H. Yang. Communications on Applied Mathematics and Computation, 2020.
Solving parametric PDE problems with artificial neural networks.
Y. Khoo, J. Lu, and L. Ying. European Journal on Applied Mathematics, 2020.
Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles.
N. Sharon, J. Kileel, Y. Khoo, B. Landa, A. Singer. Inverse Problem, 2020.
Convex relaxation approaches for strictly correlated density functional theory.
Y. Khoo and L. Ying. SIAM Journal on Scientific Computing, 2019.
SwitchNet: a neural network model for forward and inverse scattering problems.
Y. Khoo and L. Ying. SIAM Journal on Scientific Computing, 2019.[arXiv, DOI]
Solving for high dimensional committor functions using artificial neural networks.
Y. Khoo, J. Lu, and L. Ying. Research in the Mathematical Sciences, 2019.
Semidefinite Programming Approach for the Quadratic Assignment Problem with a Sparse Graph.
J.F.S. Bravo Ferreira, Y. Khoo, and A. Singer. Computational Optimization and Applications, 2017.
Integrating NOE and RDC using sum-of-squares relaxation for protein structure determination.
Y. Khoo, A. Singer, and D. Cowburn.
Journal of Biomolecular NMR, 2017. [arXiv, DOI]
Fast and Robust Discrete Computational Imaging.
A. Tuysuzoglu, Y. Khoo, and W.C. Karl. Electronic Imaging, 2017.
Non-Iterative Rigid 2D/3D Point-Set Registration Using Semidefinite Programming
Y. Khoo, and A. Kapoor. IEEE Transactions on Image Processing, 2016. [arXiv, DOI]
Variable splitting techniques for discrete tomography.
A. Tuysuzoglu, Y. Khoo, and W.C. Karl. IEEE International Conference on Image Processing (ICIP), 2016.
Global registration of multiple point clouds using semidefinite programming.
K.N. Chaudhury, Y. Khoo, and A. Singer. SIAM Journal on Optimization, 2015. [arXiv, DOI]
Large scale sensor network localization via rigid subnetwork registration.
K.N. Chaudhury, Y. Khoo, and A. Singer. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015. [arXiv]
Open problem: Tightness of maximum likelihood semidefinite relaxations.
A.S. Bandeira, Y. Khoo, and A. Singer. Proceedings of The 27th Conference on Learning Theory (COLT), 2014. [arXiv]
Tuning the quantum oscillations of surface Dirac electron in the topological insulator Bi2Te2Se.
J. Xiong, Y. Khoo, S. Jia, R.J. Cava, and N.P. Ong. Physical Review B, 2013. [arXiv, DOI]
High field Shubnikov-de Haas oscillation in the topological insulator Bi2Te2Se.
J. Xiong, Y. Luo, Y. Khoo, S. Jia, R.J. Cava, and N.P. Ong. Physical Review B, 2012. [arXiv, DOI]
System and Method for Real-Time Ultrasound Guided Prostate Needle Biopsies Using a Compliant Robotic Arm.
J. Benson, R. Chiao, D. Comaniciu, A. Kamen, A. Kapoor, Y. Khoo, and A. Milkowski.
Initialization independent approaches towards registration of 3D models with 2D projections.
Y. Khoo, A. Kapoor
: Linear Algebra and Matrix Theory (Instructor), Summer 2018
: Advanced Vector Calculus (TA), Fall 2015
: Calculus II (TA), Fall 2015
: Mathematical Analysis of Massive Data Sets (TA), Spring 2015
: An Integrated Introduction to Engineering, Mathematics (TA), Physics, Fall 2014
: General Physics (Lab instructor), Fall 2011- Spring 2014
Department of Statistics, University of Chicago
5737 S Ellis Ave., IL 60637
ykhoo (at) uchicago (dot) edu