Christopher C. Chukwuemeka

Mathematics and Deep Learning.

I'm a Mathematics PhD student at Tufts University working at the intersection of scientific computing, numerical optimization, and deep learning. My research focuses on developing mathematically grounded neural network architectures and computational methods, with an emphasis on reliable and efficient algorithms for scientific applications.

My research interests include scientific computing, deep learning, numerical methods and optimization, topology optimization, and generative modeling.

I am currently developing a unified framework for discriminative learning and generative modeling using diffeomorphic transformations in reproducing kernel Hilbert spaces (RKHSs).

I work under the supervision of Dr. Andreas Mang.

Prior to joining Tufts, I pursued my doctoral studies at the University of Houston.

News

[11/16-20/2026] I will be attending the SIAM Mathematics of Data Science (MDS26) conference at Salt Lake City, Utah. I will present a recent work: Optimal Control of RKHS Diffeomorphic Flows for Classification and Generative Modeling, in a Poster session. My deep gratitude to SIAM for the travel support!
[10/08-10/2026] I will be attending the 2026 ENVR Conference at the University of Houston, where I will present a poster on Multivariate Spatio-Temporal Neural Hawkes Processes. Thanks to the organizers for the travel support!
[09/01/2026] I joined the Department of Mathematics at Tufts University to continue my Ph.D. studies under the supervision of Dr. Andreas Mang.
[06/16/2026] A paper on Structure-Informed Neural Operators for Long-Time Prediction of Parametric Hamiltonian PDEs ( with VC Obieke, EE Oguadimma), is available on arXiv:2606.14913.
[04/13-17/2026] I will be visiting ICERM at Brown University to participate in the Simulation-based Optimization with Applications Workshop. Thanks to ICERM for the support!
[03/03/2026] A paper on Multivariate Spatio-Temporal Neural Hawkes Processes (with You H. and M. Jun ), is available on arXiv:2602.23629.
[01/12-15/2026] I will be attending the University of Houston Thesis & Dissertation Writing Accelerator program for Spring 2026.

2025 News

[12/08-12/2025] I will be attending the CBMS Conference: Research at the Interface of Applied Mathematics and Machine Learning at the University of Houston.
[08/11-15/2025] I will be attending a one week summer school on topics related to Computational and mAthematical MEthods in machine LEarning, Optimization and iNference, (ChAMELEON, August 2025).
[05/16/2025] I completed the Ph.D. candidacy examination requirements in Mathematics at the University of Houston.

2024 News

[01/16/2024] I began my Ph.D. studies in Mathematics at the University of Houston.