معرفی
Jun Yang is a Tenure Track Assistant Professor at the Department of Mathematical Sciences, University of Copenhagen. His research spans computational statistics and machine learning, with a focus on high-dimensional inference, time series analysis, and Monte Carlo methods.
- Current Position: Tenure Track Assistant Professor, University of Copenhagen (2023–present)
- Previous Role: Florence Nightingale Bicentennial Fellow, University of Oxford (2020–2023)
Education:
- Ph.D. in Statistics, University of Toronto (2020), advised by Daniel M. Roy and Jeffrey S. Rosenthal
Research Interests:
Jun’s work addresses the intersection of computational statistics and machine learning, including:
- High-dimensional Markov chain Monte Carlo (MCMC) algorithms
- Bayesian variable selection in complex models
- Spectral inference for nonlinear time series
- Quantitative bounds and complexity analysis for MCMC
Publications:
His publications highlight advancements in high-dimensional sampling, time series analysis, and algorithm design. Key contributions include:
- Dimension-free mixing results for Bayesian variable selection
- Stereographic projection techniques for MCMC
- State-domain change point detection in nonlinear regression
Awards:
- Florence Nightingale Bicentennial Fellow, University of Oxford (2020–2023)
Collaborations:
Jun collaborates with researchers like K. Łatuszyński, G.O. Roberts, and J.S. Rosenthal, advancing statistical theory and applications in econometrics, machine learning, and stochastic processes.
