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    Harini Suresh

    Postdoctoral Associate in Computer Science at MIT

    Harini Suresh is a prominent figure in the field of responsible machine learning, currently associated with the Massachusetts Institute of Technology (MIT) where she is part of various research groups and labs including @mit_caml, @mitvis, and Data + Feminism Lab.

    With a strong educational background, Harini has completed her Doctor of Philosophy (PhD), Master of Engineering (M.Eng.), and Bachelor of Science (BS) in Computer Science, all from MIT.

    During her academic journey, Harini has held several key roles at MIT including being a Postdoctoral Associate, PhD Researcher at the Computer Science and Artificial Intelligence Laboratory (CSAIL), Lead Organizer for the MIT Intro to Deep Learning program, and a Teaching Assistant.

    Harini Suresh has also gained valuable industry experience through her internships at Google in research and software engineering, as well as data science internships at Jawbone and Zephyr Health.

    Apart from her academic and professional endeavors, Harini occasionally creates educational videos under @mltidbits, showcasing her passion for sharing knowledge and insights in the field of machine learning and related topics.

    With a strong focus on responsible machine learning, Harini Suresh's work reflects her dedication to addressing ethical and social implications in AI technologies and promoting diversity and inclusion in the tech industry.

    Her extensive background in both academia and industry equips her with a unique perspective that contributes to her impactful research and advocacy efforts in the field of computer science and artificial intelligence.

    Harini Suresh's wide array of experiences in research, software engineering, data science, and teaching highlight her multi-faceted expertise and commitment to driving innovation and fostering a more inclusive tech community.

    Harini Suresh
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    Location

    Cambridge, Massachusetts, United States