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Report abuseA PhD student in the Cardiovascular Health Tech Lab at the University of Pittsburgh.
I'm also super interested in Neurotech and understanding the brain.
Always on the lookout for opportunities to learn and work especially with Signal Processing, Machine Learning, Deep Learning decoding techniques, especially for Biomedical/Neural Data.
Timezone: Pittsburgh (EST = GMT-5)
Currently working on further open source contributions to Braindecode, MOABB, mne-connectivity.
Getting my older projects to Github ready states to open source them.
Attended the Neuromatch Academy - Deep Learning Course on the Interactive Track and completely enjoyed learning throughout it.
Very interested in better learning techniques, both for myself and algorithms!
Strong believer in better science through open source.
Deep learning software to decode EEG, ECG or MEG signals
Across Age Groups Transfer Learning techniques applied on the Physionet Sleep dataset for the NeurIPS BEETL-AI Hackathon 2021
Jupyter Notebook 3
Intra-Subject Inter-Session Transfer Learning for 3-class Workload Estimation on EEG data. The codebase for submission to Passive BCI Hackathon - Neuroergonomics Conference 2021
Autonomous Drone for Indoor Navigation and Parcel Delivery
Work on the Micromouse FF Code to make it BATTLE WORTHY!!! :D
C++
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