Maria daniela L.

Research Scientist

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Tübingen, Germany

Experience

Sep 2023 - Sep 2025
2 years 1 month

Research Scientist

Intel Labs

  • 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
10 months

Ph.D. Research Intern

Huawei - Intelligent Cloud Technologies Lab

  • 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
1 year

Co-Founder and Chief Scientific Officer

Sealtech

  • Developed deep learning models to forecast students dropout rates using engagement signals.
  • Translated insights into early intervention strategies in online learning systems.

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

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