Hari Bharadwaj
Vice Chair For Research, Department Of Communication Science And Disorders
Pittsburgh, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolHari Bharadwaj is a systems neuroscientist and engineer who studies how the brain extracts sound in complex real-world environments, translating physiological insights into better diagnostics, cochlear-implant strategies, and bioinspired audio algorithms. With 12+ years of interdisciplinary experience across leading institutions (Purdue, MIT, MGH, Boston University) he now serves as Vice Chair for Research in Communication Science and Disorders at the University of Pittsburgh. He combines rigorous human neuroimaging and electrophysiology with signal-processing and software engineering, contributing to open-source tools like the widely used MNE-Python by hardening EDF parsing and test coverage. His work emphasizes how auditory computations break down in hearing loss and neurological disorders, enabling precision solutions informed by both clinical and computational perspectives. Colleagues value his ability to lead collaborative labs while remaining deeply involved in method development and reproducible code.
12 years of coding experience
14 years of employment as a software developer
Indian Institute of Technology MadrasMS, Electrical Engineering: Systems, MS, Electrical Engineering: Systems at University of MichiganPhD, Biomedical Engineering, PhD, Biomedical Engineering at Boston University
Hindi, Telugu, English
Github Skills (12)
regular-expression10
python10
testing10
n9
el9
ceph9
ec9
neuroscience9
visualization7
visualizations7
statistics7
machine-learning7
Programming languages (3)
Github contributions (5)
mne-tools/mne-python
Nov 2013 - Apr 2015
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:49 commits, 1 PR, 45 comments in 1 year 4 months
Contributions summary:Hari primarily contributed to bug fixes within the `mne-python` repository, specifically addressing issues related to float parsing and regular expressions in the EDF file format. They improved the robustness of the code and ensured its accuracy by adding and improving tests. Furthermore, the user demonstrated an understanding of the project's internal structure by making improvements and catching import errors in utility functions and improving documentation.
visualizationneuroimagingneurosciencepythonstatistics
SNAPsoftware/SNAPacoustics
Feb 2019 - Aug 2023
Contributions:24 pushes, 1 branch in 4 years 6 months
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