Amir Alavi in

Amir Alavi

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Senior Machine Learning Engineer at Apple
📍 San Francisco, California, United States

Amir is a Senior Machine Learning Engineer at Apple with a Ph. D. in Computer Science from Carnegie Mellon University. His expertise lies in computational biology, having developed novel adversarial neural networks for proteomics data at Seer and researched machine learning applications in immunomics at Microsoft.

He led the development of a novel machine learning approach to correct data inconsistencies in proteomics, which he presented at the International Conference on Machine Learning (ICML).

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Experience
5 Years
Current Role
Senior Machine Learning Engineer
Location
San Francisco, California, United States
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Priorities

Topics Amir cares about

Computational Biology
His Ph. D. from Carnegie Mellon and roles at Seer and Microsoft focused on applying machine learning to genomics, proteomics, and single-cell data analysis.
Adversarial Networks
Led a project at Seer developing a novel adversarial neural network to correct batch-effects in proteomics data, presenting the work at ICML 2022.
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Career

Work history

4-2024
Senior Machine Learning Engineer
Apple
9-2022 - 3-2024
Machine Learning Researcher & Engineer III
Seer
9-2021 - 9-2022
Machine Learning Researcher/Engineer II
Seer
6-2019 - 8-2019
Research Intern
Microsoft
9-2017 - 5-2018
Graduate Teaching Assistant
Carnegie Mellon University
In the press

Media appearances

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Education
2016 - 2021
Doctor of Philosophy (Ph.D.)
Carnegie Mellon University School of Computer Science
2019 - 2021
Master of Science - MS
Carnegie Mellon University School of Computer Science
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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