Research team

Postdoc / PhD / MSc (co-)supervision

  • Ling Min Hao PhD (2023-present): Machine Learning methods for Uncertainty Quantification alternative splicing RNA data – co-supervised by Jonathan Göke (GIS)

  • Zhidi Lin Research Fellow (2024-present): High-Dimensional models time-series model and data-assimilation.

  • Hai Dang Dau Research Fellow (2024-present): High-Dimensional models time-series model and data-assimilation, diffusion models

  • Hangao Liang MSc (2024-present): Monte-Carlo methods with path-space methods.

Alumni

  • Wang Chao Research Fellow (2021-2023): Bayesian inverse problems, generative models, data-driven priors.

  • Christopher Hendra PhD (2019-2022): Genomics, Nanopore sequencing – co-supervised by Jonathan Göke (GIS). Chris is now a Senior Scientist at MSD.

  • Khai Xiang Au PhD (2019-2023): PDE constrained Bayesian inverse problems, uncertainty quantification, variational inference. Khai is now working as a data scientist at American Express.

  • Rahul Rahaman PhD(2018-2022): Bayesian inference, Uncertainty Quantification, Deep-Learning. Rahul is now an Applied Research Scientist at Amazon.

  • Atin Ghosh PhD (2017-2021): Deep Learning for Glaucoma Understanding, representation learning, generative models, semi-supervised learning. Atin is now an Applied Research Scientist at Amazon.

  • Se-In Jang Research Fellow (2019-2021): Computer vision and application to ophthalmology. Se-In is now a research fellow in the Center for Advanced Medical Computing and Analysis and the Gordon Center for Medical Imaging, Massachusetts General Hospital (MGH) and Harvard Medical School.

  • Axel Finke Research Fellow (2017-2020): Sequential Monte Carlo, MCMC, algorithms for high-dimensional problems; applications in finance, economics, ecology and molecular biology. Axel is now an assistant professor at Loughborough University (UK).

  • Zuozhu Liu Research Fellow (2019-2020): Bayesian inference, deep generative models, 3D vision and medical applications. Zuozhu is now Assistant Professor at the Zhejiang University-University of Illinois at Urbana-Champaign Institute.

  • Matt Graham Research Fellow (2017-2020): Approximate inference methods, MCMC, approximate Bayesian computation, numerical simulation. Matt is now a research data scientist in the Advanced Research Computing Centre at University College London.

  • Willem van den Boom Research Fellow (2018-2019): After a position of Senior Research Fellow in the Division of Biomedical Data Science at the Yong Loo Lin School of Medicine at NUS, Willem now works at Google.

  • Khai Sing Chin Research Associate (2017-2018): Khai Sing is now working in the finance industry.

  • Deborshee Sen PhD (NUS, 2014-2017). Winner of the 2017 DSAP NUS best researcher award. After a postdoc at Duke University and a position as an assistant Professor at Bath University, Deborshee now works as a Research Scientist at Amazon.

  • Daniel Paulin Research Fellow (NUS, 2014-2015). Daniel is now an Associate Professor at the Nanyang Technological University,

  • Ege Muzaffer PhD (NUS, 2016): Bayesian inverse problems and Sequential Monte Carlo. Ege is now a Machine Learning EngineerMachine Learning Engineer Ubisoft RedLynx

MSc

  • Quang Huy Nguyen MSc (2018-2019): representation learning, robust models for image segmentation.

  • Augustin Hoff (NUS, 2016-2017). Deep Neural Networks and Features Extraction. Augustin is now a Senior Data Scientist at MAIF.

  • Majdi Rabia (NUS, 2016-2017). Numerical Method for Backward-Stochastic-Differential-Equations. Majdi is Co-founder and CTO @Fairphonic.

  • Benjamin Scellier (NUS, 2015). Deep Learning. After his MSc at NUS, Benjamin joined Yoshua Bengio’s Group as a PhD. He is now a principal research scientist at Rain