Buenos Aires, Autonomous City of Buenos Aires, Argentina
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Summary
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Senior
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Top School
Gustavo Juantorena is a neuroscientist-turned-PhD student in Computer Science with 10 years of experience at the intersection of machine learning, eye tracking and computational psychiatry, based in Buenos Aires. He develops webcam-based online eye-tracking and high-precision hand/eye movement characterization for digital health applications while contributing front-end code to notable open-source projects like jsPsych (virtual chinrest plugin) that enable browser-based behavioral experiments. As an educator he teaches data science and ML across universities and industry courses, covering data wrangling, visualization and model interpretability. He has built production-ready ML systems as a data scientist for regional development banks and routinely bridges academic research with practical tooling and teaching.
10 years of coding experience
1era Escuela de Primavera en Deep Learning, Aprendizaje profundo, 1era Escuela de Primavera en Deep Learning, Aprendizaje profundo at University of Buenos Aires
Computational Neuroscience, Computational Neuroscience at Neuromatch Academy 2020
Contributions:37 commits, 16 PRs, 25 pushes in 11 months
Contributions summary:Gustavo's commits primarily involve modifying the frontend code of the course materials related to web scraping, as evidenced by the changes in the Jupyter notebooks. Their contributions focus on updating the user interface of the notebooks, which includes adding or adjusting Colab badges and fixing display elements. The user updated image links and incorporated different code features, likely enhancing the user experience by improving the layout of web scraping material.
Create behavioral experiments in a browser using JavaScript
Role in this project:
Front-end Developer
Contributions:17 commits, 3 PRs, 16 comments in 5 months
Contributions summary:Gustavo primarily contributed to the development of a virtual chinrest plugin for the jsPsych library, a JavaScript framework for behavioral experiments. Their work involved creating a new plugin with features like card size adjustment and blindspot measurement, as well as modifying existing code. The user implemented interactive elements, and made documentation improvements. The contributions also included code to measure the screen size, and report the results.
jspsychsciencebrowsersbmlpsychology
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