Maria daniela L.
Research Scientist
Experience
Sep 2023 - Sep 2025
2 years 1 monthResearch 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 monthsPh.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 yearCo-Founder and Chief Scientific Officer
Sealtech
- Developed deep learning models to forecast student 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.
Languages
Portuguese
NativeEnglish
AdvancedSpanish
AdvancedGerman
IntermediateFrench
Intermediate ...and 1 more
Education
Oct 2019 - Jun 2024
Max Planck Institute for Intelligent Systems
PhD in Computer Science/Machine Learning, Magna Cum Laude · Computer Science/Machine Learning · Tübingen, Germany
Oct 2017 - Jun 2019
Brazilian Center for Research in Physics
M.Sc. in Physics/Theoretical Physics · Physics/Theoretical Physics · Rio de Janeiro, Brazil
Oct 2013 - Jun 2017
Regional University of Cariri
B.Sc. in Physics · Physics · Brazil · 9.6/10
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