Amir Alavi

Critic
DISC Type : C

Senior Machine Learning Engineer at Apple

San Francisco, California, United States

Overview

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).

Personality Overview

Negotiator

Objective Thinker

ROI Driven

They don’t appreciate bells and whistles unless backed by data.  They prefer to do logical analysis and value evidence over emotions. They enjoy working alone and do not rely on others very often.

Topics They Care 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.
Automated Machine Learning
Presented his work on using Automated Machine Learning (AutoML) on proteomics data from disease cohorts at the ASMS 2023 conference.

Media Appearances

Amir has no verified media appearances

Work History

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

Education

2016 - 2021
Doctor of Philosophy (Ph.D.) from Carnegie Mellon University School of Computer Science
2019 - 2021
Master of Science - MS from Carnegie Mellon University School of Computer Science

More Information

Social Presence :

Prographics :

Exp : 5 Location : San Francisco, California, United States Job Level : N/A Designation : Senior Machine Learning Engineer at Apple
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Insights For Selling To Amir

During A Call Or A Meeting

DO's

  • Keep some extra margin while sharing pricing, they are likely to negotiate later
  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories
  • Leverage facts and figures wherever possible; use percentages, numbers etc.

DONT's

  • Don’t try too hard to build a relationship with them
  • Make extra effort to not seem pushy or confrontational
  • Do not use very emotional or colorful language

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Amir is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Amir

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Amir move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Amir take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Amir

Personality Compatibility


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