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Alexander Johansen

PhD candidate in Computer Science at Stanford University

Alexander is a PhD student in Computer Science at Stanford, supervised
by Michael P Snyder. He leads a research lab in the exploration of
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Alexander is a PhD student in Computer Science at Stanford, supervised by Michael P Snyder. He leads a research lab in the exploration of machine learning in Bioinformatics and MedTech at stanford-health.github.io. Alexander has been featured in venues such as ICLR and Nature Biotechnology relying on SigOpt technologies.
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SigOpt Summit 2021
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SigOpt Summit 2021
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Deep Learning for Proteomics and the Future of Medicine

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Alexander Johansen
PhD candidate in Computer Science at Stanford University
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Deep Learning for Proteomics and the Future of Medicine

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Alexander Johansen at "SigOpt Summit 2021"
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November 16, 2021
Online
16
815
ai, conversation, deeep learning, design, hpc, machince learning, medicine

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