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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
projects
MIT Airport Rideshare App
MIT Web Lab, January 2023 — January 2023
Rideshare app built for the MIT student body during the annual MIT Web Lab Competition. Awarded Most Responsive UI Prize
Bikes4Newplace: A System for Bike-Sharing and Data Collection
MIT Computer Systems, March 2024 — May 2024
Computer systems project on a bike sharing system that manages transactions, data storage/privacy, and communications
Computer Aided Diagnosis for Alzheimer’s Disease via Generative Adversarial Networks
MIT CV, March 2024 — May 2024
CV project on several GAN architectures to improve classification of MRI images
Software Intern
Starlink On-Orbit Reliability Group - SpaceX, June 2024 — August 2024
SpaceX internship developing algorithms and optimizing pipelines to address hardware concerns
The Polyglot Persuader: Unpacking the Influence of Multi-Lingual Conversations on LLMs
MIT NLP, September 2024 — December 2024
NLP project on the influence of multi-turn attacks on LLMs
Bike Detector Device for the City of Cambridge
MIT Engineering for Impact, February 2025 — May 2025
SpaceX internship developing algorithms and optimizing pipelines to address hardware concerns
publications
Intelligent knowledge base search tool using large language model and graph neural network
Published in SPIE 2024 as an Invited Paper and Oral Presentation
Kevin Payumo, Inimai Subramanian, Thomas Lu, Edward Chow
Download Paper
Expand Neurons, Not Parameters
Preprint on arXiv, 2025
Linghao Kong*, Inimai Subramanian*, Yonadav Shavit, Micah Adler, Dan Alistarh, & Nir N. Shavit
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Multi-View Canonical Correlation Analysis for Cross-Lingual Fake News Detection
Published in MURJ, 2025
Inimai Subramanian
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research
Undergraduate Researcher
Senseable City Lab - MIT DUSP, September 2022 — December 2022
Conducted research on radiation-reflecting thin-film bubbles for climate change mitigation
ML Research Intern
NASA Jet Propulsion Laboratory, June 2023 — October 2023
Conducted research on intelligent knowledge base systems using GNNs under Dr. Tom Lu and Dr. Ed Chow
Undergraduate Researcher
Learning & Intelligent Systems Group - MIT CSAIL, February 2024 — May 2025
Conducted research on robot imitation learning using a Franka Emika Panda arm
SuperUROP EECS Landsman Undergraduate Research & Innovation Scholar
Shavit Lab - MIT CSAIL, August 2024 — Present
Conducting research on neural network interpretability and circuit-level behavior in large models under Professor Nir Shavit
Independent Research Fellow
MIT Eloranta Summer Undergraduate Research Fellowship, June 2025 — September 2025
Conducted self-led independent research on cross-lingual misinformation detection for low-resource languages funded by the MIT Eloranta Fellowship
Undergraduate Researcher
Fiete Lab - MIT BCS, June 2025 — September 2025
Conducted research on computational neuroscience and neural circuit dynamics under Professor Ila Fiete
talks
Invited Oral Presentation for my paper: Intelligent knowledge base search tool using large language model and graph neural network
Published:
- Presented at the 2024 SPIE Defense + Commercial Sensing Conference on my paper about intelligent knowledge base search tool
- Completed oral presentation as an invited paper
Poster Presentation for my project: Smart Search by Associative Memory
Published:
- Presented at the 2024 SuperUROP Poster Showcase with my project “Smart Search by Associative Memory”
- Talked to MIT students, faculty, and industry sponsors about creating a SOTA associative memory search mechanism that outperforms SOTA retrievers on custom and difficult retrieval benchmarks (multi-hop querying)
teaching
Mentor
Mentor, Navajo Preparatory School, June 2019 — June 2019
Guided Native American high school students in learning proof-style mathematics and helped lead the Julia Robinson Math Festival.
Selection Exam Writer & Mentor
Selection Exam Writer & Mentor, United States Earth Science Olympiad (USESO), December 2022 — Present
Write questions for the US national team selection exam and mentor students in training camp projects
Teaching Assistant
Teaching Assistant, MIT, Department of Electrical Engineering and Computer Science, February 2024 — Present
Developing course material, teaching recitations/labs, holding office hours, and grading exams
Instructor
Instructor, MIT MISTI Global Teaching Lab - London, England, January 2026 — January 2026
Teach Computer Science to high schoolers at Alleyn’s School in London