Martin Ester

Professor
Tel: 778.782.4411
Email: ester (at) cs (dot) sfu (dot) ca
Fax: 778.782.3045
Office: SFU Burnaby, TASC 9231

Raquel Aoki

Email: raoki (at) sfu (dot) ca

Research: Identification of genes that contribute to cancer development using Machine Learning models, such as Probabilistic Graphical Models. 

Ali Arab

Email: ali_ara (at) sfu (dot) ca

Research: Developing methods to identify factors that have causal relationship with cognitive health by analysing longitudinal data.

Arash Khoeini

Email: akhoeini (at) sfu (dot) ca

Research: Deep Learning, Bayesian Neural Networks, Uncertainty Estimation

Oliver Snow

Email: oliver_snow (at) sfu (dot) ca

Research: He is currently using random forests to predict mutations of the androgen receptor that will cause a resistant phenotype in response to treatments in prostate cancer. The hope is to move towards more general drug response prediction using large genomics datasets and deep neural networks among other methods.

Hossein Sharifi-Noghabi

Email: hsharifi (at) sfu (dot) ca

Research: His research is representation learning on multi-omics data with specific focus on prostate cancer. The computational part of his work mainly focuses on deep learning especially unsupervised learning.

Atia Hamidizadeh

Email: atia_hamidi_zadeh (at) sfu (dot) ca

Research: Developing machine learning algorithms for molecular property prediction and optimization including semi-supervised methods and generative models.

Jialin Lu

Email:  jialin_lu (at) sfu (dot) ca

Research: He works on interpretability.

Personal webpage: https://luxxxlucy.github.io/ 

Shuman Peng

Email: shumanp (at) sfu (dot) ca

Research: Her research interests include meta-learning and few shot learning.

Lai Wei

Email: lai_wei (at) sfu (dot) ca

Research: Developing deep learning and structure learning methods to counter cybersecurity threats, such as malware attacks.