Ali Kahirdeh, Ph.D.

Critic
DISC Type : C

Machine Learning Technical Lead at Pacific Gas and Electric Company

San Francisco Bay Area, United States

Overview

Ali Kahirdeh is a Machine Learning Technical Lead at Pacific Gas and Electric Company, specializing in predictive algorithms and data-driven modeling. He earned his Ph. D. from Louisiana State University and is the Founder of The-Precursor Diagnostics. Colleagues describe him as a bright, motivated expert and a great team player.

Outside of his primary role, Ali is an entrepreneur dedicated to a philosophy of continuous building, evolution, and adaptation. He has a keen interest in ensuring safety within the energy storage industry and celebrates his cultural heritage, such as observing Nowruz, the Persian New Year.

Unique fact: Ali is a reviewer for several prestigious international machine learning conferences, including NeurIPS, ICML, and ICLR.

Personality Overview

Negotiator

Critic

ROI Driven

They don’t appreciate bells and whistles unless backed by data.  They are quite likely to negotiate on pricing or other key terms. They choose to analyze logically and value facts to emotions.

Topics They Care About

Battery Data Science
His experience at Rivian focused on battery data science. He also actively posts about the critical need for predictive intelligence in energy storage systems to prevent incidents like battery fires.
Predictive ML
A core theme in his career, he designs predictive machine learning algorithms and diagnostics systems at both PG&E and his own company, The-Precursor Diagnostics.
Physics-Informed AI
His work at The-Precursor Diagnostics and his academic publications focus on combining physics-based modeling with machine learning, particularly using entropy for damage assessment.

Media Appearances

Ali has no verified media appearances

Work History

1-2025
Machine Learning Technical Lead at Pacific Gas and Electric Company
7-2024
Founder and Chief Scientist at The-Precursor Diagnostics
7-2023 - 7-2024
Principal Data Scientist at Pacific Gas and Electric Company
1-2022 - 4-2023
Staff Data Scientist at Rivian
1-2021 - 1-2022
Data Scientist at PARC, a Xerox Company

Education

2015 - 2017
Postdoctoral from University of Maryland
2008 - 2014
Doctor of Philosophy (Ph.D.) from Louisiana State University

More Information

Social Presence :

Prographics :

Exp : 4 Location : San Francisco Bay Area, United States Job Level : Junior Designation : Machine Learning Technical Lead at Pacific Gas and Electric Company
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Insights For Selling To Ali

During A Call Or A Meeting

DO's

  • Use phrases like ‘expect X% improvement’, ‘data clearly shows’ etc.
  • Don’t forget to mention how you compare to competition on both features and pricing
  • Leverage facts and figures wherever possible; use percentages, numbers etc.

DONT's

  • Avoid phrases like ‘trust me’, ‘others just love’ etc.
  • Make extra effort to not seem pushy or confrontational
  • Avoid pushing them too much to involve other stakeholders unless it is critical

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Ali is

  • Proven ROI, pricing and objective proof points are the factors that sway their decision.
  • Will you ever get a clear answer from Ali

  • They are comfortable saying no if they are convinced that it is the correct decision.

Insights For Deal Planning

    How fast (or slow) will Ali move?

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

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

You And Ali

Personality Compatibility


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