People

Research area(s): self-supervised learning

His research focuses on learning from large unlabeled datasets.

Research area(s): representation learning, OOD generalization

Her research focuses on improving the robustness and trustworthiness of deep neural networks under distribution shift. 

Research area(s): transfer learning, domain generalization, causal discovery

Research area(s): accountable machine learning (ML), ML for biology 

His research focuses on the aspects of accountable machine learning models, such as interpretability, fairness, generalization and robustness. He also explores the application of machine learning within the field of biology.

Research area(s): graph representation learning, drug discovery

His research is generally focused on applied deep learning for drug discovery. In particular, he is investigating injection of chemical and biological biases into graph representation learning for structural proteomics.

Research area(s): 

Research area(s): 

Research area(s): graph representation learning, drug discovery

His research focuses on using deep generative models for binding-based molecule generation.

ALI ARAB

Ph.D., 2024

AMIRREZA KAZEMI

M.Sc, 2023

ATIA HAMIDIZADEH

M.Sc, 2023

OLIVER SNOW

Ph.D., 2022

BEIDOU WANG

Ph.D., 2018

M.Sc, 2019

SAHAND KHAKABIMAMAGHANI

Ph.D., 2019

M.Sc, 2021

XIN WANG

Ph.D., 2016