PhD Student in Computer Science at Columbia University's School of Engineering and Applied Sciences. Supported by NSF GRFP.

- Writing Interviews and Articles with pioneers working on cutting-edge neurotech R&D- Podcast host for Neurotech Daily: https://www.neurotechdaily.com/

- Onboarded Synaptech as a NeurotechX Student Club, the international NeuroTech community- Launched five new teams developing long-term neurotech projects, each developing novel applications of EEG

Synaptech at Grey Matters - Evening with Neuroscience- Led live-stream demonstration of neurotech and neural data analysis to general audience - Set-up an EEG lab streaming layer and measured data while participant was attentive to a video - Visualized the neural data to show the correlation in EEG recordings in which participants were attentive to the same stimuli using Jupyter and pyLSLThe Brain on LSD: Analyze the first fMRI scans that revealed the drug's effects on the brain- Recreated a smaller scale analysis of Carhart-Harris et al. 2016 paper using open source fMRI data- Developed a workshop using nibabel to visualize fMRI data

- Developing novel technologies to incorporate neural data and analysis into ubiquitous technologies

- Tutoring AP/IB level Physics and Calculus

- Optimized an automated video labeling algorithm to increase the complexity of data used in developing brain controlled prosthetic devices by 10+ fold- Collected 100,000+ data points to create datasets and visualizations of automated video labeling performance- Tools used: DeepLabCut, Python, scikit-learn, pandas, NumPy

- Working as self-employed private tutor to teach high school students.- Tutoring AP/IB level Biology, Calculus, and Physics (Mechanics), ACT/SAT.

- Developed Python/Matlab scripts to automate White Matter’s e3vision camera system for practical use in behavioral labs. - Created demos using e3vision cameras and DeepLabCut (program using OpenCV and deep learning) to track objects being occluded without physical markers.