Hi, I'm Mohamad.

My research is focused on statistical and machine learning topics on structure learning, network analysis, processes over graphs. My interest lies in solving real-world challenges. 

I enjoy building models that are robust, scalable and efficient. Most importantly, models that are used by many. 

News: 

• Congrats Mark Stanley for winning NSERC Undergraduate Student Research Award (USRA). 

• Thrilled to announce that I received the Discovery Grant for 5 years alongside an ECR Supplement, from NSERC!

• Welcome Mingze Li to the team. Mingze is working on novel approaches to rideshare pricing.

• Welcome Simon Chatelain to the team. Simon is working on methods to infer graphical models on high-dimensional data.

• Building my first LLM GPT model from scratch called moGPT

• Do you know what the arrival time p-value of your last Uber trip was? Tune-in to our stat department talk at Carleton University, week of 25 March 2024

• Benchpress v2.7.0 is released. This version includes more than 55 causal and graphical algorithms. See some examples here.

• A new paper (arXiv) details a state-of-the-art algorithm for sampling decomposable graphs. It enables the parallelization and distribution of inference for large-scale graphical problems across multiple compute nodes, allowing for the analysis of ultra-high-dimensional graphs.