Ananthanarayanan, A.1, Hu, B.1, Sha, A. “Network-Based Kidney Allocation Simulation: Evaluating Organ Matching Strategies in Variable Hospital Networks.” Blood Purification 54, Suppl. 2: 7 (2025). Karger Publishers.
My work
Deep dives, drafts, and dead ends
I'm tinkering with a handful of projects right now. What's below is just a high-level overview of that and some of my previous work—I'm happy to share more details, code, or data if you're interested.
If you want to see prototypes, swap notes, or send me cool papers, reach out at aniruth2207@gmail.com
Current Work
- Thoracic Surgical Oncology Research. Investigating thoracic surgical oncology outcomes and the impacts of lung cancer screening at the MGH Yang Lab.
- Kinetik. Architecting automated backends and chatbots that power talent ops. >$500K contracts MLE → CTO.
- KidneyChain LLC. Designing an AI-native platform for kidney transplantation. Backed by NSF I-Corps, Nelson Ctr. for Entrepreneurship.
- Spectral Processing for the Recognition of Chemical Species. Neural workflows that read optical spectra to resolve chemical composition. Github Repo · Khalsa Research Group.
- Kidney Allocation Modeling. Network-based simulations exploring match quality vs. organ availability. AniruthAnanth/kidneybench · bioRxiv.
Support, grants, and gratitude
I am applying for small grants and collaborations that keep experiments moving—materials, compute, and time in labs that welcome scrappy ideas.
If you are interested in backing early prototypes, co-writing proposals, or want the latest progress notes, let's align on milestones and outcomes.
Reach me at aniruth2207@gmail.com —I try to respond quickly.
"Less words, more images please!"
Selected publications
Ananthanarayanan, A.1, Senivarapu, S.1, Murari, A. “Towards Causal Interpretability in Deep Learning for Parkinson’s Detection from Voice Data.” Princeton Journal of Interdisciplinary Research, vol. 1, no. 2, Frontiers of Inquiry. (2025).
Ananthanarayanan, A. “Generating Medical Diagnostic Scenarios with LLM-Based Reinforcement Learning Feedback: Dataset Release and Methodology.” IEEE Xplore (2025). Accepted and presented at IEEE ISEC 2025 at Princeton, NJ.