Hi! I am an Assistant Professor at the School of Mathematics, University of Birmingham. My research interests include large-scale optimization, statistical learning theory, explainable AI, with applications in many areas of data science, such as inverse problems in computational and medical imaging. Most recently, my research has been focusing on developing efficient unsupervised learning paradigms and test-time inference schemes for medical imaging, agent-based models and other data-driven applications in healthcare.
In 2019, I completed my Ph.D in the University of Edinburgh under the supervision of Prof. Mike Davies and my research was fully funded by EU H2020 project MacSeNet Innovative Training Network. Prior to that, I had 4 wonderful years in Sichuan University, China as a undergrad majoring in Communication Engineering from 2010 to 2014.
Email: j.tang.2[AT]bham.ac.uk
Postgraduate research students:
Guixian Xu (9/2024-now, University of Birmingham) Research areas: Numerical optimization, Machine learning, Inverse problems. PhD Thesis title (tentative): “Optimizing Data-Driven Solutions for Medical Imaging”
Junyao Zhang (9/2025-now, University of Birmingham) Research areas: Generative modelling, Bayesian statistics, Agent-based models
Hong Ye Tan (3/2022-5/2025, University of Cambridge) PhD thesis: “Designing Provably Convergent Algorithms from the Geometry of Data” — Defended without correction.
***********************************************************************************
Teaching:
Computational Statistics (Module-Lead, 2026-2027)
Bayesian Inference and Computation (Module-Lead, 2025-2026)
[Lecture notes][slides_1][slides_2][slides3][slides4][slides5][slides6][slides6b][slides7][slides8][slides9][slides10][slides11][slides12][slides13][slides14][slides15][slides16][slides17][+][slides18][slides19][pdf_version][A1][A2][A3][seed][midterm_rev].
Nonlinear Programming I (Module-Lead) .
[gradient_method_example1][example_2][example_3][example_4][example_5]
[Newton’s method example][example_2][software]. .
