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Education

  • PhD in Neuroscience — Sorbonne University, Paris, FR
    • Oct. 2022 – Present
    • Part of the i-Bio program and FRM-FDT Fellowship.
  • Master in Neuroengineering — Edmond and Lily Safra International Institute of Neurosciences, Macaíba, RN, BR
    • Aug. 2019 – Jul. 2021
  • Bachelor of Physiotherapy — Pontifical Catholic University of Minas Gerais, Belo Horizonte, MG, BR
    • Aug. 2014 – Jul. 2019

Research & Professional Experience

  • PhD Student — Sorbonne University, Paris, FR
    • Oct. 2022 – Present (Pre-Doc: Sep. 2021 – Oct. 2022)
    • Doing doctoral research in the team led by Dr. Gabrielle Girardeau, focusing on electrophysiological analysis and computational modeling under the supervision of Dr. Gabrielle Girardeau and Dr. Wilten Nicola (University of Calgary).
    • During the pre-doc year, completed laboratory rotations in:
      • Gene Expression: Global regulation for bacterial adaptation group (Dr. Bianca Sclavi)
      • Calcium Imaging: Development of the spinal cord organization lab (Dr. Jean-Marie Mangin)
  • Technical Support — Edmond and Lily Safra International Institute of Neurosciences, Macaíba, RN, BR
    • Sep. 2021 – Oct. 2022
    • Analyzed electrophysiological data using signal processing, brain connectivity, and machine learning techniques. Assisted in writing scientific articles.
  • Master Student — Edmond and Lily Safra International Institute of Neurosciences, Macaíba, RN, BR
    • Aug. 2019 – Jul. 2021
    • Worked on data analysis using Python, performing multi-modal data fusion, machine learning algorithms, video, and neural data analysis.
    • Practical experience in animal behavior, electrophysiological analysis, and surgery for electrode implantation.
    • Participated in writing and submitting funding proposals (resulting in two grants).
  • Member of Machine Learning Research Group — Edmond and Lily Safra International Institute of Neurosciences
    • Mar. 2020 – Oct. 2022
    • Weekly discussions on machine learning/deep learning articles and techniques. Developed tutorials and notebooks on pose estimation, autoencoders, SVM, t-SNE, and GANs.

Projects

  • i-Bio Summer School — Sorbonne University
    • Aug. 2023
    • Teaching assistant for “Advanced Computational Analysis for Behavioral and Neurophysiological Recordings” in Banyuls-sur-Mer. Facilitated tutorials on hippocampal and amygdalar recordings during sleep/navigation.
  • C.I.T.R.O.N.S — Sorbonne University - IBPS - DSCO Lab
    • May 2023 – Aug. 2023
    • Developed a Python-based image processing pipeline utilizing pyimagej and scijava to streamline calcium imaging analysis.
  • Bacteria — Sorbonne University - IBPS - BIG Lab
    • Jan. 2023 – May 2023
    • Created an image analysis pipeline using SuperSegger and Omnipose to track cell cycles and designed 3D-printed microfluidic centrifuge plates.
  • PyRat — Edmond and Lily Safra International Institute of Neurosciences
    • Aug. 2020 – Oct. 2022
    • Developed an open-source library to process tracking data from DeepLabCut to correlate animal behavior with brain oscillations.
  • JAMA / PyJama — Edmond and Lily Safra International Institute of Neurosciences
    • Aug. 2019 – Oct. 2022
    • Developed open-source hardware (JAMA device) and an associated Python library (PyJAMA) for kinematic analysis and joint angle estimation using IMUs.
  • Brain Connectivity in Rats with Epilepsy — Edmond and Lily Safra International Institute of Neurosciences
    • Sep. 2021 – Oct. 2022
    • Characterized pentylenetetrazole (PTZ) effects on brain connectivity using electrophysiology recordings.

Technical Skills

  • Programming Languages: Python, MATLAB, C/C++, Pascal, Med State Notation, LaTeX
  • Developer Tools: GitHub, Google Colab, VS Code, PlatformIO, Arduino, Jupyter, Anaconda
  • Libraries & Frameworks: pandas, NumPy, SciPy, Matplotlib, Bokeh, FastAI, PyTorch, TensorFlow, scikit-learn, Flask
  • Lab Equipment: Intan, Plexon, Blackrock, Stereotaxic surgeries, Med Associates behavioral setup

Publications

  1. Almeida, T.F.; Spinelli, B.G.; Gonzalez, M.C.; Lima, R.H.; Rodrigues, A.C. (2022). PyRAT: An open-source python library for quantifying animal behavior. Frontiers in Neuroscience, 16. doi:10.3389/fnins.2022.779106
  2. Almeida, T.F.; Borges, L. H. B.; Dantas, A.F.O.A. (2022). Development of an IoT Closed Loop FES Device for Human Machine Interface. Sensors, 22(9), 3551. doi:10.3390/s22093551
  3. de Almeida, T.F.; Morya, E.; Rodrigues, A.C.; de Azevedo Dantas, A.F.O. (2021). Development of a Low-Cost Open-Source Measurement System for Joint Angle Estimation. Sensors, 21, 6477. doi:10.3390/s21196477
  4. Almeida, T.F.; de Araújo, A.R. (2020). Factors that Influence Injuries Occurrence in Jiu-Jitsu Competitors. International Journal of Sports Medicine & Exercise Science, 6:164. doi:10.23937/2469-5718/1510164

Fundings & Fellowships

  • FRM Fin de Thèse de Science Fellowship — Fondation pour la Recherche Médicale (competitive national 4th-year PhD fellowship in France)
  • Collaborative Research Grants — IBRO (International Brain Research Organization), with Dr. Gabrielle Girardeau and Dr. Wilten Nicola
  • PhD & Pre-Doc Fellowship — Initiative for Biology (i-Bio), Sorbonne University
  • Master’s Scholarship — CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior)

Professional Service

  • Peer Reviewer: The Journal of Open Source Software (JOSS)

Beyond the Academy / Free Time

  • Brazilian Jiu-Jitsu Black Belt
  • Elite Marathon Runner