Lucia Mocz

Critic
DISC Type : C

Principal Member of Technical Staff, ML Engineer at Oracle

San Francisco Bay Area, United States

Overview

Lucia is a Principal ML Engineer at Oracle with a distinguished background in mathematics, holding a PhD from Princeton. Her career bridges academia and enterprise, focusing on translating complex mathematical ideas into deployable AI systems, secure data handling tools, and LLM-based reasoning systems.

Beyond her technical pursuits, Lucia explores her creative side through formal training. She has completed coursework in creative writing, focusing on short stories and novels, as well as a core program in acting, highlighting a passion for storytelling and performance.

She is a recipient of the highly competitive National Science Foundation Mathematical Sciences Postdoctoral Research Fellowship, awarded to top early-career researchers.

Personality Overview

Critic

Objective Thinker

ROI Driven

They are quite likely to negotiate on pricing or other key terms.  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

AI for Enterprise
Her current role at Oracle involves building AI agents and secure systems for enterprise use cases, demonstrating a focus on practical business applications.
Applied Mathematics
Her career is built on translating advanced mathematical ideas from fields like geometry and number theory into practical, deployable AI and machine learning systems.
Complex Reasoning in AI
She leads paper reading sessions on topics like AlphaGeometry and Self-Discover, focusing on advancing AI's capabilities in complex, autonomous reasoning tasks.

Media Appearances

Lucia has no verified media appearances

Work History

10-2023 - 11-2025
Principal Member of Technical Staff, ML Engineer at Oracle
3-2023 - 9-2023
Research Scientist at DeepSky
2-2022 - 10-2022
Scientist at Enable Medicine
9-2019 - 8-2022
L.E. Dickson Instructor, Postdoctoral Researcher in Mathematics at University of Chicago
9-2018 - 8-2019
Hausdorff Center of Mathematics Postdoctoral Fellow, Postdoctoral Researcher in Mathematics at The University of Bonn

Education

2013 - 2018
Doctor of Philosophy - PhD from Princeton University
2009 - 2013
BA-MA from Harvard University

More Information

Social Presence :

Prographics :

Exp : 6 Location : San Francisco Bay Area, United States Job Level : N/A Designation : Principal Member of Technical Staff, ML Engineer at Oracle
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Insights For Selling To Lucia

During A Call Or A Meeting

DO's

  • Keep some extra margin while sharing pricing, they are likely to negotiate later
  • Be ready for penetrating questions and critical examination of your pitch
  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories

DONT's

  • Don’t rush them till they have clearly gotten all the necessary information
  • Avoid phrases like ‘trust me’, ‘others just love’ etc.
  • Don’t try too hard to build a relationship with them

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Lucia is

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

  • 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 Lucia move?

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

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

You And Lucia

Personality Compatibility


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