Saba Daftari

I am a dedicated Data Scientist and Machine Learning Engineer with a strong background in optimizing data pipelines and developing advanced machine learning models. At Simmunome Inc., I successfully designed and parallelized data pre-processing ETLs for omics datasets, improving processing speed by 40% and significantly reducing out-of-memory issues. My work with deep neural networks, particularly using Graph Attention Networks and Graph Convolutional Networks, led to a remarkable 28% improvement in model performance through rigorous architecture validation and hyperparameter tuning.

My academic journey includes a Master’s degree in Data Science and Machine Learning from HEC Montréal, where I was awarded a Research Training Award. My thesis focused on Genetic Algorithms for CNN architecture design, showcasing my commitment to innovative solutions in machine learning. I am passionate about ethical AI and have implemented privacy and fairness considerations in my projects, ensuring responsible use of technology. I thrive in collaborative environments, having mentored interns and worked alongside biologists and software engineers to enhance project efficiency and readiness.