PhD Researcher · University of South Carolina

Deepa Tilwani

PhD candidate in computer science working on generative models of brain activity, machine learning, and trustworthy evaluation for AI and language systems.

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Columbia, South Carolina Model-driven analysis, generative brain models, and trustworthy AI

Current focus

Current work focuses on model-driven analysis and generative models for the brain, along with citation-grounded evaluation and interpretable AI for healthcare and language systems.

Publications

Citations

Awards

Research

Research areas

Core themes across neuroscience, AI, machine learning, deep learning, healthcare AI, and LLMs.

What I work on

Interpretable methods for science and high-stakes AI

The goal is to build AI systems that are analytically useful, scientifically grounded, and reliable enough for healthcare and other high-stakes settings.

How I work

Study brain activity with generative models, machine learning, deep learning, inversion, and statistical analysis.
Turn evaluation gaps in AI and LLM systems into concrete benchmarks and measurement tools.
Collaborate across research labs, workshops, and mentoring environments.

Publications

Selected publications

Recent papers across neuroscience, healthcare AI, machine learning, deep learning, explainability, and LLM evaluation.

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Experience

Research and professional experience

Recent roles across research labs, industry, and interdisciplinary collaborations.

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Recognition

Awards and recognition

Recent scholarships, travel support, and research honors.

Contact

Interested in collaborating on neuroscience, AI, healthcare AI, or LLM systems?

I’m especially excited by work on generative brain models, machine learning and deep learning for healthcare, and language technologies with real-world accountability.

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News

News Appearances

Recent feature stories and external coverage.

Writing

Blogs

Notes, reflections, and research-facing writing will appear here.