Deepa Tilwani
Graduate Research Assistant
Columbia, South Carolina, India
Summary
👤
Senior🎓
Top SchoolDeepa Tilwani is a PhD candidate and graduate research assistant at the Artificial Intelligence Institute, University of South Carolina, specializing in AI at the intersection of neuroscience, psychology, and law. With eight years of experience spanning NLP, signal and biosignal processing, and multi-agent systems, she builds human-centered AI that uses EEG and causal models to probe cognition and support psychology-AI collaboration. Her work includes developing generative-AI models for neuronal connectivity and contributing to ARTHEMIS, an AI-enabled virtual courtroom that cut arbitration times by 75%, highlighting a rare blend of neurotech research and real-world legal impact. Deepa’s profile reflects both rigorous academic inquiry and applied engineering—she navigates from infant autism detection to neurosymbolic systems—making her a strong collaborator for interdisciplinary projects in healthcare, neurotechnology, and policy.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 7.09/10, Bachelor of Technology - BTech, Computer Science, 7.09/10 at Govt women engineering college ajmerMaster of Technology - MTech, Computer Science, 7.43/10, Master of Technology - MTech, Computer Science, 7.43/10 at The LNM Institute of Information TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of South CarolinaHigh school, 12th - PCM, 7.2/10, High school, 12th - PCM, 7.2/10 at Queen Mary's girls school Ajmer
Github Skills (17)
application9
data-structures8
bayesian-inference8
parameter-estimation8
fine-tuning8
simulation7
llm7
vector-database7
gpt6
machine-learning6
pytorch6
python5
inference4
matlab4
neuroscience3
Programming languages (2)
Github contributions (5)
Deepa-Tilwani/Deepa-Tilwani
Jun 2021 - Jun 2024
Contributions:4 pushes, 1 branch in 3 years
lina-usc/Jansen-Rit-Model-Benchmarking-Deep-Learning
Jun 2024 - Mar 2025
Code repositry for the Benchmarking Deep Jansen-Rit Parameter Inference: An in Silico Study
Contributions:4 PRs, 34 pushes, 1 branch in 9 months
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