I am a Master's student in Applied Physics to Medicine and Biology at the University of São Paulo (USP-RP) , where my research focuses on mapping cortical brain connectivity. My core passion lies at the intersection of physical sciences, neuroscience, and data. I leverage programming as a bridge to translate complex scientific questions into technological solutions.
My work involves:
- 🧠 Integrating Transcranial Magnetic Stimulation (TMS) and EEG to investigate effective brain connectivity during motor tasks.
I am a lifelong learner and am always excited to explore new technologies and collaborate on challenging projects. While my current academic focus is on Python and MATLAB for scientific computing, I also have hands-on experience with a broader range of languages including C++, Java, and JavaScript. I am always open to discussing new ideas and opportunities.
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M.Sc. Researcher: Mapping Effective Brain Connectivity (USP) My current research involves using TMS-EEG to map cortical connectivity. I apply multivariate autoregressive (MVAR) models and metrics like PDC/DTF to understand neural dynamics during motor tasks. Skills: Python, MATLAB, TMS, EEG, Signal Processing, Statistical Analysis. |
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Data Analyst @ Supera Park As a Data Analyst, I automated data cleaning and processing routines for large datasets using Python and SQL. Additionally, I designed and developed advanced interactive dashboards in Power BI for stakeholders. Skills: Python, SQL, Power BI, Data Cleaning, Dashboard Development. |
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Freelance Developer (Web & LLM Systems) Developed custom web applications and integrated Large Language Model (LLM) systems for various clients, focusing on creating intelligent and user-centric solutions. Skills: JavaScript, Python, LLM Integration, Web Development. |
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Magnetomotive Ultrasound Localization System (GIIMUS Lab - USP) Implemented and characterized a system to locate temporary enteral probes using magnetomotive ultrasonography. Skills: Experimental Physics, Signal Acquisition, Ultrasonography. |
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Open-Source Software for Quantitative MRI (InBrain Lab - USP) Developed a free software for generating parametric maps in quantitative magnetic resonance techniques (e.g., relaxometry and IVIM), focusing on signals with exponential dependence. Skills: Python, Scientific Software Development, MRI Physics. |
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Miniaturized Microelectronic Sensor System (SensorMat Lab - USP) Developed and characterized a low-cost, small-form-factor miniaturized microelectronic system for acquiring and processing sensor data. Skills: Microelectronics, Sensor Integration, Data Acquisition. |
