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    Eloy Geenjaar

    Ph.D. student at Georgia Tech & TReNDS Center - Multimodal representation learning for neuroimaging

    Eloy Geenjaar is a Graduate Student Researcher at the TReNDS Center, which is part of the Georgia Institute of Technology. He is currently pursuing his PhD and has a background in mathematics, having recently transitioned from a Bachelor's program to a Master's in Mathematics at the same institution.245

    In his role at TReNDS, Eloy is involved in research that focuses on deep learning and multimodal data, particularly in the context of neuroimaging and brain disorders. His work includes applying self-supervised learning techniques to improve predictions related to brain health.12 Additionally, he has experience as a PhD Research Intern at Dolby's multimodal team, where he is expected to apply his skills in machine learning and data analysis.3

    Eloy's academic journey reflects a strong commitment to integrating mathematics with cutting-edge technology in neuroscience, making significant contributions to the field through his research endeavors.

    Highlights

    Self-supervised multimodal learning for group inferences from MRI ...

    Related Questions

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    How does Eloy Geenjaar's work integrate deep learning and neuroimaging?
    Eloy Geenjaar
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    Location

    Atlanta, Georgia, United States