CV

Education

L. Papenmeier^†, N. Cheng^†, S. Becker, L. Nardi.
“Explore Explorations in Bayesian Optimization”.
N. Cheng^†, L. Papenmeier^†, S. Becker, L. Nardi.
“A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization”.
O. A. Malik^†, Y. Xu^†, N. Cheng^†, S. Becker, A. Doostan, A. Narayan.
“Fast algorithms for monotone lower subsets of Kronecker least squares problems”.

N. Cheng^†, O. A. Malik^†, Y. Xu^†, S. Becker, A. Doostan, A. Narayan. 2024.
“Subsampling of parametric models with bi-fidelity boosting”.
SIAM/ASA Journal on Uncertainty Quantification.
N. Cheng, O. A. Malik, S. De, S. Becker, A. Doostan. 2024.
“Bi-fidelity variational auto-encoder for uncertainty quantification”.
Computer Methods in Applied Mechanics and Engineering.
N. Cheng, A. J. Schulte, F. Santosa, J. H. Kim. 2021.
“Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma”.
Briefings in Bioinformatics.

Bi-fidelity Variational Auto-encoder. SIAM CSE 2025 Symposium talk, Fort Worth, TX. 2025 Mar.
Stochastic Subspace Descent with Surrogate-adjusted Line Search. MORe2024, La Jolla, CA. 2024 Sep
Variational Auto-encoder for Uncertainty Quantification. ASEN 6412 Guest Talk, Boulder, CO. 2024 Apr.
Multi-fidelity Methods for Uncertainty Quantification. Comprehensive exam, Boulder, CO. 2023 Nov.
Bi-fidelity Boosting Method. Invited talk, remote. 2023 Oct.
Robust Explainable AI for Images. Internship presentation, Houston, TX. 2023 Aug.
Bi-fidelity Variational Auto-encoder. USNCCM17 Symposium talk, Albuquerque, NM. 2023 Jul.

2021 Spring (CU Boulder): Introduction to Differential Equations with Linear Algebra, Teaching Assistant
2020 Fall (CU Boulder): Calculus 1 for Engineers, Teaching Assistant
2019 Fall (UMN): Pre-Calculus I, Teaching Assistant