Iโm a Data Science masterโs student at Columbia University with a background in systems engineering and software development. Iโm interested in building thoughtful, data-driven tools that address real gaps in society, particularly in health, wellness, and accessibility.
I care deeply about inclusivity and enjoy working on tools that make technology more usable, equitable, and impactful for underserved populations.
- M.S. in Data Science, Columbia University
- B.S. in Computer Science with Highest Honors, UNC Chapel Hill
- Applied Machine Learning
- Healthcare, Wellness & Immunology
- Human-centered AI & accessibility
- AR/VR and immersive technologies
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Gendered Cost Burden Analysis
Inspired by the pink tax, this is data analysis and visualization project examining gender disparities in day-to-day spending and healthcare. -
Scaled-Down Text-Conditional Diffusion Model (GLIDE-Inspired) Built a simplified text-to-image diffusion model that trianslates written prompts into images.
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Undergraduate Honors Thesis: Modeling the Impact of Early Life Stress on Microglial Aging
Combined bulk and single-cell RNA sequencing data to identify microglial gene expression signatures linking early life stress to accelerated immune aging.
- Exploring ML applications in conversational NLP that prioritize inclusivity
- Conducting ML research on electrophysiological data @ the Zuckerman Institute
- Learning more about agentic AI and RAG pipelines via coursework
- Website: https://sneha-jaikumar.github.io
- LinkedIn: https://www.linkedin.com/in/sneha-jaikumar