Ke Yuan

Ke works on statistical methods for quantifying breast cancer mircoenvironment from tumor images. His goal is to bulid probabilistic decision making machines to predict clinical outcomes (survival, relapse, etc), based on empirical features extracted from both tumor images and the associated molecular profiles (gene expression, copy number, etc).

Vita

since 09/2012
Postdoctoral research at Cancer Research UK Cambridge Research Institute

10/2008 - 09/2012
PhD student at School of Electronics and Computer Science, University of Southampton, UK
Advisor: Mahesan Niranjan

10/2007 - 09/2008
MSc student at School of Electronics and Computer Science, University of Southampton, UK
Advisor: Lie-Liang Yang

09/2003 - 07/2007
Undergraduate study at Nanjing University of Posts & Telecommunications, China

Degrees

Ph.D. in Electronics and Electrical Engineering, School of Electronics and Computer Science, Univ of Southampton, UK, 2012

M.Sc. in Electronics and Electrical Engineering
School of Electronics and Computer Science, Univ of Southampton, UK, 2008

B.Eng. in Electronics and Electrical Engineering,
Nanjing University of Posts & Telecommunications, China

Awards and fellowships

Research studentship, School of Electronics and Compter Science, University of Southamp, 2008

Ke Yuan

Ke Yuan
CR UK - CRI
Li Ka Shing Centre
Robinson Way
Cambridge, CB2 0RE, UK
e: ke.yuan@cruk.cam.ac.uk
p: +44 (0) 1223 769 739

Funded by CRUK logo Affiliated with Cambridge
University

Publications

  1. Yuan, K, Girolami, M. and Niranjan, M. (2012). Markov chain Monte Carlo methods for state-space models with point process observations. Neural Computation, 24(6): 1462--1486.
  2. Zammit Mangion, A., Yuan, K., Kadirkamanathan, V., Niranjan, M., and Sanguinetti, G. (2011). Online variational inference for state-space models with point process observations. Neural Computation, 23(8):1967–1999.
  3. Yuan, K. and Niranjan, M. (2010). Estimating a state-space model from point process observations: A note on convergence. Neural Computation, 22(8):1993–2001.
  4. Yuan, K., Liu, W. and Yang, L.L. (2009). Reliability-aided multiuser detection in time-frequency-domain spread multicarrier DS-CDMA systems. In: Proceedings of the 69th IEEE Vehicular Technology Conference (VTC), 1-5.