As part of my PhD, I spearheaded the development of a virtual reality system for studying adaptive visuomotor behavior in mice using Unity3D game engine. Features markerless behavioral tracking using DeepLabCut and integration with optogenetics and neural recording systems such as neuropixels 2.0 or a mesoscope.
As part of my PhD, I developed a python-based (DataJoint: Python wrapper for SQL) pipeline for processing and analyzing large-scale behavioral and neural data. Automatation of experimental data processing and facilitating the supervision of individual experimental sessions on a daily basis, using advanced signal processing and machine learning techniques.
Arduino-based system for precise control of optogenetic stimulation during behavioral experiments. Features programmable stimulation patterns.
As a side project, I developed a simple GUI based on PyQt to explore connectivity map based on various projection signals. Features responsive design, animations, and integration with Allen Brain Atlas' API allensdk.
As part of a software engineer research internship at Second Sight Medical Product, I worked on a virtual reality system for Argus II patients to help them navigate in a virtual environment. Enhancing their rehabilitation procedure. The system was developed using Unity and C#, bypassing their camera Unit. I also developed a VR simulation of what a patient sees using the Argus II system.
As part of my Master's thesis, I investigated the relationship between effort and social dominance in hierarchical groups of mice. This work was part of a larger project on the neural mechanisms of social dominance (specifically, the connections from mPFC to LH) and was conducted in laboratory of Prof. Kay M. Tye at the Salk Institute in San Diego.
At the Laboratory of Cognitive Neuroscience (LNCO) in Prof. Olaf Blanke's lab, together with Dr. Brechet, I investigated the relationship between the subjective feeling of re-experiencing past events and memory performance. In this project we worked with healthy human subjects and used virtual reality to manipulate the feeling of re-experiencing past events.
An iOS app built for a dentist to streamline guided clinical photos and exports—no accounts, no subscriptions, just fast capture with PDF/JPEG output.
An app that lets you simply talk to your photos and watch them transform. PhotoPerfectAI harnesses cutting-edge AI to make professional-grade photo editing accessible to everyone. No account required, just natural language commands that bring your vision to life.
I created a comprehensive job application platform that transforms the tedious process of applying for jobs. Built with TypeScript and React, EasyApplAI leverages AI to craft ATS-friendly resumes and cover letters, tracks applications with a history-based system, and helps you prep for interviews, all while keeping your personal data secure through anonymization.
How I built a web application that seamlessly converts iTunes playlists to Spotify using Flask, Firebase, and the Spotify API, with Stripe integration for payments.
The process of creating my first mobile application, a comprehensive PDF management tool for merging, modifying, and summarizing PDFs on both iOS and Android platforms.
A comprehensive review we wrote, exploring novel machine learning methods for understanding the motor system. Drawing parallels with artificial neural networks.
