Lucas Monteiro Paes

Critic
DISC Type : C

Postdoctoral Researcher at Apple

Cupertino, California, United States

Overview

Lucas Monteiro Paes is an AI Researcher at Apple, focusing on developing safe, transparent, and fair AI systems. A Harvard PhD graduate and an Apple Scholar, his work bridges theoretical insights with practical applications in trustworthy AI, including fairness, explainability, and AI safety. He has previous research experience at Google DeepMind and IBM.

Originally from Brazil, Lucas is passionate about aligning AI with human values and societal norms. He actively contributes to the AI landscape in his home country, having co-organized an "AI in Brazil" panel series at Harvard. His work aims to ensure technology serves society beneficially, particularly in preventing algorithmic discrimination.

Unique fact: Lucas was one of just 30 individuals selected from 33, 000 applicants for the prestigious Fundação Estudar Leadership Fellowship, which supports Brazils most promising young leaders.

Personality Overview

Critic

Objective Thinker

Negotiator

They like to do things independently and don’t look for support from others.  It is very likely that they will negotiate pricing or other important terms. They choose to analyze logically and value facts to emotions.

Topics They Care About

Trustworthy & Ethical AI
His entire research career is dedicated to making AI transparent, fair, and aligned with human values, with a focus on AI for social good.
AI Model Uncertainty
He is a leading voice on the "Rashomon Effect, " having co-authored multiple papers on the topic and co-organized the first AAAI workshop on it.
Explainable AI (XAI)
His recent paper, "MExGen, " on creating multi-level explanations for large language models, was selected for an oral presentation at the ACL 2025 conference.

Media Appearances

Lucas has no verified media appearances

Work History

7-2025
Postdoctoral Researcher at Apple
6-2022 - 7-2025
Research Assistant at Harvard University
5-2024 - 11-2024
Student Researcher at Google DeepMind
5-2023 - 8-2023
AI Research Scientist at IBM
1-2019 - 8-2019
Mathematical Modeling Group Researcher at Empresa de Pesquisa Energética

Education

9-2021 - 7-2025
Doctor of Philosophy - PhD from Harvard University
9-2021 - 5-2025
Master's degree from Harvard University

More Information

Social Presence :

Prographics :

Exp : 2 Location : Cupertino, California, United States Job Level : N/A Designation : Postdoctoral Researcher at Apple
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Insights For Selling To Lucas

During A Call Or A Meeting

DO's

  • Be ready for penetrating questions and critical examination of your pitch
  • Don’t forget to mention how you compare to competition on both features and pricing
  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories

DONT's

  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Don't give superficial answers, they are easily rattled by them
  • Don’t rush them till they have clearly gotten all the necessary information

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Lucas is

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

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

Insights For Deal Planning

    How fast (or slow) will Lucas move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Lucas take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Lucas

Personality Compatibility


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