Places I learned things
Federal University of Rio Grande do Sul
2019-12
— Present
Biological Sciences - Biochemistry, Master of Science
Dietrich Lab - Yale University School of Medicine
2018-08
— 2019-09
Computational Neuroscience, Research Assistant
Federal University of Rio Grande do Sul
2015-03
— 2019-11
Computer Engineering, Bachelor of Engineering
What I have worked on
Deep Learning framework for automated vocalization detection and analysis in rodents
Dietrich Lab, Research Assistant
2018-08
— 2019-09
Tool development that allows for automated vocal analysis in rodents using deep learning.
- Parameter-free identification of vocals in experimental recordings with high recall.
- Noise filtering and Classification of vocals using Convolutional Neural Networks.
- Vocalization segmentation using Deep Learning for precise spectro-temporal analysis.
Whole-brain analysis of neuronal activity using tissue-clearing and light-sheet microscopy
Dietrich Lab, Research Assistant
2018-08
— 2019-09
Whole-brain analysis of neuronal activity in neonatal mice using the iDISCO+ tissue-clearing protocol and light-sheet microscopy.
- Single-cell analysis of neuronal activation.
- High-performance parallel image processing pipeline for fast whole-brain analysis.
- Whole-brain unbiased analysis of neuronal activity independent of an atlas.
Dedicated hardware architectures for video coding using low-power arithmetic operators
Bampi Lab, Undergraduate Research Assitant
2016-06
— 2018-08
Exploiting fast algorithms for video encoding in energy efficient dedicated hardware capable of processing 4k video in real time at 60 frames per second. Development of hardware modules for application-specific integrated circuits using low-power arithmetic operators such as adder compressors, combined with approximate computing techniques.