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    Adam Yala

    Assistant Professor of Computational Precision Health at UC Berkeley and UCSF.

    Adam Yala is an Assistant Professor at the University of California, Berkeley, and UCSF, specializing in Computational Precision Health, Statistics, and Electrical Engineering and Computer Science (EECS). His research focuses on developing machine learning methods for personalized cancer care and translating them into clinical practice. The overarching goal of his work is to offer tailored interventions—such as screenings or treatments—based on individual patient risks and preferences. His lab emphasizes three main areas:

    1. Modeling comprehensive patient records (e.g., imaging, pathology) to predict outcomes.
    2. Designing AI-driven decision-making tools for screening, treatment policies, and therapeutic target selection.
    3. Translating these tools into clinical settings, with implementations in hospital systems worldwide and use in prospective clinical trials.1235

    Yala earned his BS, MEng, and PhD in Computer Science from MIT, where he was affiliated with the Jameel Clinic and CSAIL. His academic achievements include awards such as the NSF Graduate Research Fellowship, MIT EECS Fellowship, and Best Paper Award at EMNLP 2016. His research has been widely recognized in prominent media outlets like The New York Times and Wired.1234

    In addition to his academic contributions, Yala's work has significantly impacted precision oncology by improving cancer risk prediction models and optimizing screening policies using reinforcement learning. His publications appear in top journals like Nature Medicine and Science Translational Medicine.15

    Highlights

    Adam Yala | Research UC Berkeley
    Oct 1 · jclinic.mit.edu
    Adam Yala - MIT Jameel Clinic
    Mar 26 · bms.com
    A Bristol-Myers Squibb reúne especialistas nacionais em Oncologia ...

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    Adam Yala
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    Location

    Cambridge, Massachusetts, United States