Imperial College London

DrAndrewDuncan

Faculty of Natural SciencesDepartment of Mathematics

Lecturer in Data Centric Engineering and Statistics
 
 
 
//

Contact

 

a.duncan

 
 
//

Location

 

6M35Huxley BuildingSouth Kensington Campus

//

Summary

 

Summary

I am a lecturer in statistics and data-centric engineering in the Statistics section  at Imperial College London. I am also a group leader for the Data Centric Engineering Programme at the Alan Turing Institute. My research interests like at the interface of applied probability, computational statistics and machine learning, with a particular focus on industrial applications. I've worked on application areas ranging from cellular biology, chemical engineering, predictive health management for complex engineering systems, aerospace and energy.


My personal web-page can be found here: http://wwwf.imperial.ac.uk/~aduncan/

Publications

Journals

Seshadri P, Duncan A, Simpson D, et al., 2020, Spatial flow-field approximation using few thermodynamic measurements Part II: Uncertainty assessments, Journal of Turbomachinery

Seshadri P, Simpson D, Thorne G, et al., 2020, Spatial flow-field approximation using few thermodynamic measurements Part I: formulation and area averaging, Journal of Turbomachinery, ISSN:0889-504X

Gorham J, Duncan A, Vollmer S, et al., 2019, Measuring sample quality with diffusions, Annals of Applied Probability, ISSN:1050-5164

Conference

Barp A, Briol FX, Duncan A, et al., 2019, Minimum Stein discrepancy estimators, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Neural Information Processing Systems Foundation, Inc.

More Publications