Mariele Motta

Recurser at Recurse Center
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Contact Information
us****@****om
(386) 825-5501
Location
Berlin Metropolitan Area, DE
Languages
  • Portuguese Native or bilingual proficiency
  • English Full professional proficiency
  • German Professional working proficiency
  • French Limited working proficiency
  • Spanish Professional working proficiency

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Credentials

  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
  • Introduction to Deep Learning (with Honors)
    Coursera
  • Neural Networks and Deep Learning
    Coursera
  • Structuring Machine Learning Projects
    Coursera

Experience

  • Recurse Center
    • United States
    • Software Development
    • 1 - 100 Employee
    • Recurser
      • Nov 2022 - Present

      Programming retreat for curious, self-directed programmers. Projects: - Parallel Computing with GPUs (CUDA, C). - Training and fine-tuning Open Pretrained Transformers (Python, PyTorch). - Setup of Slurm cluster on Google Cloud Platform with public and custom images (GCP, Docker, Slurm, Terraform). - Completed Course: Algorithms: Design, and Analysis (Stanford University ) (Python). Programming retreat for curious, self-directed programmers. Projects: - Parallel Computing with GPUs (CUDA, C). - Training and fine-tuning Open Pretrained Transformers (Python, PyTorch). - Setup of Slurm cluster on Google Cloud Platform with public and custom images (GCP, Docker, Slurm, Terraform). - Completed Course: Algorithms: Design, and Analysis (Stanford University ) (Python).

  • neurocat
    • Germany
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Research Scientist
      • Oct 2019 - Nov 2022

      - Designed experiments to evaluate neural networks (out-of-distribution) performance, safety, and security using data sets from the automotive, railroad, speech, and medical domains. - Developed and trained models, developed and implemented various methods that test the robustness and produce explanations for neural networks (Python, TensorFlow, PyTorch, OpenCV, Git, Docker). - Contributed to the development of the explainability module of the company software: implemented methods, unit tests, and performed code review (Python, GitLab, JIRA). - Led four projects on AI quality and safety in collaboration with academic and industry partners leading to publications and software modules. Show less

  • smart digital.
    • Germany
    • Marketing Services
    • 1 - 100 Employee
    • Data Scientist
      • Jun 2017 - Oct 2018

      - Developed, validated, and optimized machine learning models to predict user behavior on websites using LSTMs, MLPs, Logistic Regression, and K-means, (Python, TensorFlow, scikit-learn). - Performed data mining, data analysis, and feature engineering (SQL, MongoDB, Python, pandas, scikit-learn). - Applied statistical tests to optimize interventions and content personalization (A/B tests). - Developed, validated, and optimized machine learning models to predict user behavior on websites using LSTMs, MLPs, Logistic Regression, and K-means, (Python, TensorFlow, scikit-learn). - Performed data mining, data analysis, and feature engineering (SQL, MongoDB, Python, pandas, scikit-learn). - Applied statistical tests to optimize interventions and content personalization (A/B tests).

  • University of Geneva
    • Switzerland
    • Research Services
    • 700 & Above Employee
    • Postdoctoral Researcher
      • May 2014 - Dec 2016

      - Developed tests for theoretical models using statistics of cosmological observations - Solved dynamical systems - Developed and applied perturbation theory of gravity models - Solved systems of coupled differential equations numerically and algebraically - Performed numerical/statistical simulations (http://class-code.net/) and N-body simulations (https://github.com/gevolution-code/gevolution-1.0) Programming Languages: Mathematica, Python, C++ Keywords: Modified Gravity, Bimetric Gravity, Gauge-Invariant PerturbationTheory, Gravitational Waves, Dynamical Systems, Tests of Cosmological Models, Coupled Differential Equations, Numerical Solutions Teaching assistance: - General Relativity - Master course (Autumn 2014, Autumn 2016) - Electrodynamics II - Undergrad course (Spring 2015, Spring 2016) Other activities: - Participated in 8 workshops/conferences (6 talks). - Assisted the organization of 1 conference. - Assisted the research of PhD students. Show less

  • University of Oxford
    • United Kingdom
    • Research Services
    • 700 & Above Employee
    • Visiting Junior Research Fellow
      • Feb 2014 - Apr 2014

      Collaboration on tests and forecasts of gravity models, hosted by New College. - Predicted observational signatures of gravity models - Forecasted constraints of upcoming surveys on new fundamental scales. - Participated in 1 workshop. Collaboration on tests and forecasts of gravity models, hosted by New College. - Predicted observational signatures of gravity models - Forecasted constraints of upcoming surveys on new fundamental scales. - Participated in 1 workshop.

Education

  • Ecole polytechnique fédérale de Lausanne
    Course, Applied Data Analysis
  • Heidelberg University
    Doctor of Philosophy - PhD
    2011 - 2013
  • Universidade Estadual de Campinas
    Doctor of Philosophy (Ph.D.), Physics
    2009 - 2013

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