Check out our preprint of a review on causal inference in drug discovery, co-written with Jitao David Zhang.
Ammar and Adriaan will present posters at European Conference on Computational Biology.
Ammar will present his preprint “rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes”.
Adriaan will present a poster titled “Estimating Strengths of Causal Interactions for Gene Regulatory Networks in Yeast” on work that builds on his previous paper on causal gene regulatory networks in yeast.
Ammar will present a poster based on his preprint “rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes” at the World Congress of Psychiatric Genetics
Congratulations to Ammar for successfully defending his PhD thesis “Machine learning approaches for high-dimensional genome-wide association studies”!
Ammar will now continue in the group as a postdoctoral fellow on the NeuroConvergence project.
Congrats again Dr Malik!
A postdoc position is available in my group on the NeuroConvergence project in collaboration with Jan Haavik and colleagues at the Neurotargeting group. In the NeuroConvergence project, we will use a range of machine learning and causal inference methods on unique large-scale genetic and functional genomic datasets and chemical libraries to identify novel druggable target proteins for neuropsychiatric disorders. The postdoc will also contribute to the in silico protein structural screening and optimization of candidate targets using modern AI tools (RoseTTAfold, Alphafold2). See the job advertisement for more details and application instructions.