Louis Ehwerhemuepha
Too often advanced statistics or biostatistical analyses, machine learning, and artificial intelligence are seen as disparate field without close understanding of the interconnection between them. The foundation of all is statistics without which training in machine learning and artificial intelligence can become a dangerous activity. My career goal is to foster research and applications at the intersection of statistics, machine learning, and artificial intelligence. The questions I ask in theoretical and empirical studies involve extending associations and causal inference to machine learning and artificial intelligence models especially deep learning. I work with incredibly gifted teams [link to bios for collaborators] and startups [link to startups page] and you can find a list of my peer-reviewed publication (mostly in medical research) herein [link to publications page/google scholar profile]. A short description of models I built with an interdisciplinary team at Children’s Hospital of Orange County can be seen here.
my story
Skills you can trust
Collaborators
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Current Research
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Models Deployed
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Physician Collaborators
