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Maria Daniela Leite De Souza-Research Scientist

Maria Daniela Leite De Souza
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Tübingen, Germany

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Experience

Sep 2023 - Sep 2025

Research Scientist

Intel Labs

Position Summary
Research Scientist at Intel Labs
Industries
Information Technology
Business Areas
Product Development
Research and Development
  • Designed and implemented AI-driven orchestration models for large-scale distributed systems.
  • Developed Python and Go-based optimization pipelines to automate service placement across Kubernetes clusters.
  • Worked on scalable data pipelines and production-ready model integration with serverless frameworks (intent-driven K8s operators).
  • Contributed to the Horizon Europe VERGE project.
Nov 2022 - Aug 2023

Ph.D. Research Intern

Huawei - Intelligent Cloud Technologies Lab

Position Summary
Ph.D. Research Intern at Huawei - Intelligent Cloud Technologies Lab
Industries
Information Technology
Business Areas
Product Development
Research and Development
  • Developed GNN-based heuristics to accelerate MILP solving for operations research problems on Huawei Cloud.
  • Built end-to-end research prototype integrating ML and optimization in distributed settings.
Jul 2018 - Jun 2019

Co-Founder and Chief Scientific Officer

Sealtech

Position Summary
Co-Founder and Chief Scientific Officer at Sealtech
Industries
Education
Information Technology
Business Areas
Information Technology
Research and Development
  • Developed deep learning models to forecast students dropout rates using engagement signals.
  • Translated insights into early intervention strategies in online learning systems.

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Information Technology and Education.

Information Technology
Education
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Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Research and Development, Product Development, and Information Technology.

Research and Development
Product Development
Information Technology
Profile match chart

Summary

I am an Applied Scientist with expertise in network science, machine learning and optimization. I design and analyze graph models to forecast system-level dynamics and perform inference tasks in complex networks.

My work combines statistical modeling and optimal transport theory to produce reproducible and data-driven insights for decision-making.

Skills

  • Programming Languages And Frameworks

  • Python (Primary), C++, Go

  • Pytorch, Pytorch Geometric, Tensorflow, Scikit-Learn

  • Infrastructure And Tools

  • Kubernetes (Helm, Operators), Docker, Cloud-Edge Orchestration, Sql (Basic), Git

  • Machine Learning Specializations

  • Graph Neural Networks, Optimal Transport For Networks, Distributed Systems, Data Analysis

  • Experimentation & Analysis

  • Networkx, Pymc, Mlflow, Bayesian Modeling, Simulation Design

  • Soft Skills

  • Project Management, Collaborative Problem-Solving, Communication, Leadership, Initiative

Languages

Portuguese
Native
English
Advanced
Spanish
Advanced
German
Intermediate
French
Intermediate
...and 1 more

Education

Oct 2019 - Jun 2024

Max Planck Institute for Intelligent Systems

PhD in Computer Science/Machine Learning · Computer Science/Machine Learning · Tübingen, Germany · Magna Cum Laude

Oct 2017 - Jun 2019

Brazilian Center for Research in Physics

Physics/Theoretical Physics · Physics/Theoretical Physics · Rio de Janeiro, Brazil

Oct 2013 - Jun 2017

Regional University of Cariri

Physics · Physics · Brazil · GPA: 9.6/10

Statistics

Experience

Total positions 3
Experience in Information Technology 4 y
Avg length 1 y 3 m
Longest experience 2 y

Expertise

Recent roles Research Scientist, Ph.D. Research Intern, Co-Founder and Chief Scientific Officer
Main industries Information Technology, Education
Main business areas Research and Development, Product Development, Information Technology

Qualifications

Highest degree Doctorate

Profile

Created
Last Update

Frequently asked questions

Have questions? Find more information here.

Maria Daniela is based in Tübingen, Germany.
Maria Daniela speaks the following languages: Portuguese (Native), English (Advanced), Spanish (Advanced), German (Intermediate), French (Intermediate), Italian (Intermediate).
Maria Daniela has at least 4 years of experience. During this time, Maria Daniela has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 1 year and 3 months. Note that Maria Daniela may not have shared all experience and actually has more experience.
Based on recent experience, Maria Daniela would be well-suited for roles such as: Research Scientist, Ph.D. Research Intern, Co-Founder and Chief Scientific Officer.
Maria Daniela's most recent position is Research Scientist at Intel Labs.
In recent years, Maria Daniela has worked for Intel Labs and Huawei - Intelligent Cloud Technologies Lab.
Maria Daniela is most experienced in industries like Information Technology and Education.
Maria Daniela is most experienced in business areas like Research and Development, Product Development, and Information Technology.
Maria Daniela holds a Doctorate in Computer Science/Machine Learning from Max Planck Institute for Intelligent Systems, a Master in Physics/Theoretical Physics from Brazilian Center for Research in Physics and a Bachelor in Physics from Regional University of Cariri.
Maria Daniela is immediately available full-time for suitable projects.
Maria Daniela's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.
To hire Maria Daniela, click the Meet button on the profile to request a meeting and discuss your project needs.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

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Market avg: 848-1008 €
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.