James Faghmous

    Asst. Prof/ CTO of Arnhold Institute | Icahn School of Medicine at Mt. Sinai

    I build and lead teams that create innovative data products. My expertise is in developing and executing data science strategy, especially in non-technical settings. I focus on ‘interpretable machine learning’ products that combine data science, domain expertise, and UX for mass product adoption. As a researcher, I have published in top tier artificial intelligence (AAAI, IJCAI) and data science (SDM, ICDM) conferences and mentored over 25 students including Ph.D. students and postdocs
    James Faghmous


    TALKS BY JAMES FAGHMOUS

    Using Causal Forests for Subpopulation Identification in Randomized Clinical Trials

    Using Causal Forests for Subpopulation Identification in Randomized Clinical Trials | NYC17