March Boedihardjo

# Selected papers

* [Optimality of empirical measures as quantizers](https://arxiv.org/abs/2508.02615)  
M. T. Boedihardjo

* [Injective norm of random tensors with independent entries](https://arxiv.org/abs/2412.21193)  
M. T. Boedihardjo

* [Matrix concentration inequalities and free probability](https://web.math.princeton.edu/~rvan/mconcfree-230228.pdf)  
A. S. Bandeira, M. T. Boedihardjo, R. van Handel  
Inventiones Mathematicae (2023)

* [Covariance's loss is privacy's gain: computationally efficient, private and accurate synthetic data](https://link.springer.com/article/10.1007/s10208-022-09591-7)  
M. Boedihardjo, T. Strohmer, R. Vershynin  
Foundations of Computational Mathematics (2022)

* [C*-algebras isomorphically representable on $l^p$](https://arxiv.org/abs/1812.11165)  
M. T. Boedihardjo  
Analysis & PDE (2020)

# Other papers

* [Sharp bounds for max-sliced Wasserstein distances](https://arxiv.org/abs/2403.00666)  
M. T. Boedihardjo  
Foundations of Computational Mathematics (2025)

* [Covariance loss, Szemeredi regularity, and differential privacy](https://arxiv.org/abs/2301.02705)  
M. Boedihardjo, T. Strohmer, R. Vershynin  
Proceedings of the American Mathematical Society (2025)

* [Embedding $C^{*}$-algebras into the Calkin algebra of $\ell^{p}$](https://arxiv.org/abs/2409.07386)  
M. T. Boedihardjo  
Journal of Functional Analysis (2024)

* [Private measures, random walks, and synthetic data](https://link.springer.com/content/pdf/10.1007/s00440-024-01279-z.pdf)  
M. Boedihardjo, T. Strohmer, R. Vershynin  
Probability Theory and Related Fields (2024)

* [Metric geometry of the privacy-utility tradeoff](https://arxiv.org/abs/2405.00329)  
M. Boedihardjo, T. Strohmer, R. Vershynin

* [Privacy of synthetic data: a statistical framework](https://arxiv.org/abs/2109.01748)  
M. Boedihardjo, T. Strohmer, R. Vershynin  
IEEE Transactions on Information Theory (2022)

* [Private sampling: a noiseless approach for generating differentially private synthetic data](https://arxiv.org/abs/2109.14839)  
M. Boedihardjo, T. Strohmer, R. Vershynin  
SIAM Journal on Mathematics of Data Science (2022)

* [A Performance Guarantee for Spectral Clustering](https://arxiv.org/abs/2007.05627)  
M. Boedihardjo, S. Deng, T. Strohmer  
SIAM Journal on Mathematics of Data Science (2021)

* [Estimation of expected value of function of i.i.d. Bernoulli random variable](https://arxiv.org/abs/1909.05837)  
M. T. Boedihardjo

* [Multiplication operators on $L^p$](https://arxiv.org/abs/1707.04798)  
M. T. Boedihardjo  
Studia Mathematica (2019)

* [Similarity of operators on $l^p$](https://arxiv.org/abs/1706.08582)  
M. T. Boedihardjo

* [Calkin representations for $L^p$](https://arxiv.org/abs/1707.09658)  
M. T. Boedihardjo  
Integral Equations Operator Theory (2019)

* [On algebra-valued R-diagonal elements](https://arxiv.org/abs/1512.06321)  
M. Boedihardjo and K. Dykema  
Houston Journal of Mathematics (2018)

* [Asymptotic *-moments of some random Vandermonde matrices](https://www.sciencedirect.com/science/article/pii/S0001870816302870)  
M. Boedihardjo and K. Dykema  
Advances in Mathematics (2017)

* [Remarks on “Weak limits of almost invariant projections” by Foias, Pasnicu and Voiculescu](https://arxiv.org/abs/1411.3343)  
M. T. Boedihardjo  
Operators and Matrices (2017)

* [A coordinate free characterization of certain quasidiagonal operators](https://arxiv.org/abs/1401.5829)  
M. T. Boedihardjo  
Indiana University Mathematics Journal (2015)

* [On mean ergodic convergence in the Calkin algebras](https://www.ams.org/journals/proc/2015-143-06/S0002-9939-2015-12432-X/S0002-9939-2015-12432-X.pdf)  
M. T. Boedihardjo and W. B. Johnson  
Proceedings of the American Mathematical Society (2015)

# Conference papers

* [Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances](https://arxiv.org/abs/2405.15441)  
J. Wang, M. Boedihardjo, Y. Xie  
International Conference on Machine Learning (2025)

* [On Extended Concentration Inequalities for Fast JL Embeddings of Infinite Sets](https://arxiv.org/abs/2501.14010)  
E. Boahen, M. T. Boedihardjo, R. Chiclana, M. Iwen  
Sampling Theory and Applications (2025)

* [Certified private data release for sparse Lipschitz functions](https://arxiv.org/abs/2302.09680)  
K. Donhauser, J. Lokna, A. Sanyal, M. Boedihardjo, R. Hönig, F. Yang  
International Conference on Artificial Intelligence and Statistics (2024)

# Employment

2023-present: Assistant Professor, Michigan State University  
2022-2023: Postdoctoral Fellow, ETH Zurich  
2021-2022: Visiting Assistant Professor, University of California, Irvine  
2019-2021: Assistant Adjunct Professor, University of California, Los Angeles  
2016-2019: Hedrick Assistant Professor, University of California, Los Angeles

# Education

2012-2016: Ph.D. in Mathematics, Texas A&M University  
Advisor: [Bill Johnson](https://en.wikipedia.org/wiki/William_B._Johnson_(mathematician)), Co-Advisor: [David Kerr](https://www.uni-muenster.de/FB10srvi/persdb/MM-member.php?id=1539)  
Other committee members: [Ciprian Foias](https://en.wikipedia.org/wiki/Ciprian_Foias), [Ron Douglas](https://en.wikipedia.org/wiki/Ronald_G._Douglas), [Thomas Schlumprecht](https://people.tamu.edu/~t-schlumprecht), [Tony Cahill](https://engineering.tamu.edu/civil/profiles/acahill.html)  

2011-2012: Visiting Scholar, Texas A&M University  

2007-2011: B.Sc. and M.Phil in Mathematics, Hong Kong Baptist University  
Advisor: [Hermann Brunner](https://www.mun.ca/math/our-people/faculty/professores-emeriti/hermann-brunner)