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Department of Pure Mathematics and Mathematical Statistics

I am a postdoctoral research associate in Statistics, supervised by Professor Richard J. Samworth.

My research interests include shape-constrained density estimation and regression, as well as the statistical analysis of approximate message passing (AMP) algorithms.


2017–2021: PhD in Statistics, University of Cambridge, supervised by Prof Richard J. Samworth. Thesis: Topics in shape-constrained inference.

2013–2017: BA and MMath, Trinity College, University of Cambridge.

Publications and preprints

Feng, O. Y., Guntuboyina, A., Kim, A. K. H. and Samworth, R. J. (2021). Adaptation in multivariate log-concave density estimation. Ann. Statist., 49, 129–153.

Teaching and other activities

I have supervised the following courses: Part IB Linear Algebra, Statistics and Optimisation; Part II Mathematics of Machine Learning, Principles of Statistics, and Probability and Measure. I also gave the examples classes for Part III Topics in Statistical Theory (2020-21).

I am a member of the Statistics Clinic team.


Nonparametric, tuning‐free estimation of S‐shaped functions
OY Feng, Y Chen, Q Han, RJ Carroll, RJ Samworth
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
Different Cytokine Patterns in BMPR2-Mutation Positive Patients and Pulmonary Arterial Hypertension Patients Without Mutations and Their Influence on Survival
M Schwiening, EM Swietlik, D Pandya, K Burling, P Barker, O Feng, CM Treacy, S Abreu, SJ Wort, J Pepke-Zaba, S Graf, SJ Marciniak, NW Morrell, E Soon
– Chest
S70 Effectiveness of different parameters at admission as prognostic markers for mortality due to SARS-CoV-2: a 2-centre experience in UK and Spain
ME Shuvo, M Schwiening, F Soares, R Thompson, O Feng, RJ Samworth, NW Morrell, SJ Marciniak, W Thomas, E Soon
– Gazing through the crystal ball: predicting outcomes from COVID-19
Adaptation in multivariate log-concave density estimation
OY Feng, A Guntuboyina, AKH Kim, RJ Samworth
– Annals of Statistics
Topics in shape-constrained inference
O Feng




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