Master in Biomedical Engineering and Data Scientist
I graduated in Science and Technology in 2020 and Biomedical Engineering in 2021 from the Federal University of ABC (UFABC), and master's degree in Biomedical Engineering at UFABC. Currently working as a Data Scientist Sírio Labanês Hospital and persuing a PhD in Informational Engineering.
My research focus is on signal and image processing and application of machine learning algorithms in cerebral hemodynamics and cardiovascular fields.
During my undergraduate and master studies, I had the opportunity to conduct research with a FAPESP research scholarship in 2020, which was extended until 2023. In this research, I contributed to the development of the CAAos platform, an open-source platform for calculating cerebral autoregulation. (Documentation link: https://caaosplatform.github.io/CAAos/index.html)
I am always seeking opportunities to apply my knowledge and contribute to advancements in the field of Biomedical Engineering and Data Science. If you are interested in connecting or collaborating on related projects, feel free to reach out!
💻 CAAos Platform:
📊 Data Science Projects:
- Neural Networks with TensorFlow Keras
- RAG pipeline with Langchain
- End-to-end ML project
- Churn Rate
- Machine Learning Models
- Machine Learning Models for predction of Stroke based on Cerebral Autoregulation results
- Power BI projects
- Imersão dados: Drug discovery
⚗ Publicações:
- CAAos platform: an integrated platform for analysis of cerebral hemodynamics data
- Evaluation and Systematization of the Transfer Function Method for Cerebral Autoregulation Assessment
- Prediction of stroke diagnosis through a classification model on cerebral autoregulation: a preliminary study. Computing in Cardiology 2023. April, 2023. Accepted paper for presentation in congress.
- Comparison of Cerebral Autoregulation in Patients with Mild and Severe Arterial Hypertension. CLAIB & CBEB 2022. Accepted for publication paper in IFMBE Proceeding in february, 7. 2023.
- K-Nearest Neighbors algorithm for Predicting Cerebral Autoregulation Impairment in Patients with Acute Ischemic Stroke. IX Latin American Congress of Biomedical Engineering and XXVIII Brazilian Congress of Biomedical Engineering (CLAIB & CBEB). October, 2022, Florianópolis, SC – Brazil. Accepted paper with video-poster presentation.
- Open-Source Platform for Cerebral Autoregulation Assessment (CAAos platform): Platform Configuration and Usability. (CARNet 2022), 11th International Congress on Cerebral Hemodynamics Regulation - Cerebral Autoregulation Network (CARNet meeting), October, 2022. Leicester, UK. Accepted abstract for video-poster presentation.
