I'm a software engineer based in New York with experience in machine learning, data science, and distributed systems. Some of the projects I've worked on involve computer vision, natural language processing, and brain-computer interfaces.
⭐️ TensorBlur: Efficient GPU-accelerated blurring layers for Tensorflow graphs.
⭐️ PyUnity: Python utilities for Unity Perception (C#) - a toolkit for creating synthetic machine learning datasets
⭐️ Networking Test Kit: Test networking functionality (LSL, OSC, UDP) for OpenBCI devices. Integrated with the OpenBCI core app.
⭐️ ECG Respiratory Monitor: Live monitor for EEG, ECG, and respiratory biodata
⭐️ OpenBCI-MaxMSP Library: Library for interfacing between OpenBCI devices and MaxMSP
Writings & Publications
📝 Deep Neural Networks for Forecasting Single-Trial Event-Related Neural Activity (IEEE SMC 2018)
📝 Forecasting the Neural Time Series: Deep Neural Networks for Estimating EEG Event Responses (UCSD M.S. Thesis)
📝 Multi-Paradigm EEG Classification using Deep Neural Networks(BCI Meeting 2018 Poster)
📝 Finding the optimal cross-subject EEG data alignment method for analysis and BCI (IEEE SMC 2018)
📝 Error Potentials for a Reinforcement Learning-Based Brain-Computer Interface (Unpublished)