Noel Elias

ML @ Otter.ai


About Me

I am currently a Machine Learning Engineer at Otter.ai. I graduated from the University of Texas at Austin with a double major in Computer Science and Mathematics. During my time at UT, I was fortunate to be advised by Dr. Sriram Vishwanath and Dr. David Wu.

Previously, I was a Software Engineering Intern at Apple and a Machine Learning Intern at the Applied Research Laboratories.

Feel free to reach out using the contact information below!



Publications | Projects


Visual Robot Policy Learning

An imitation learning pipeline for vision-based robot control

Multi-Threaded Web Server

Exploring Multi-Threaded HTTP Web Servers in C and Rust

Visualizing Calculus

Exploring multivariable calculus with Python

COVID-19 Dashboard

A neural network based web-app prediction model

Codex

A revolutionary AR app to teach students coding

Molecular Fecal Contamination Assay

A LAMP-OSD assay paired with a cheaper material kit to detect the HF-183 fecal gene

HIV Detection Kit for Infants

2018 iGEM Conference Project - Bronze

Kaggle

Machine Learning competitor & Data Science contributor

Arduino

An engaging LED game made with Arduino

    2026

  1. MultiTok: Variable-Length Tokenization for Efficient LLMs Adapted from LZW Compression
    Noel Elias, Homa Esfahanizadeh, Kaan Kale, Sriram Vishwanath, Muriel Medard
    IEEE International Symposium on Information Theory (ISIT) 2026
    [PDF] | [Code]

    2. 2025

  2. Pairing-Based Batch Arguments for NP with a Linear-Size CRS
    Binyi Chen, Noel Elias, David Wu
    International Conference on the Theory and Application of Cryptology and Information Security (ASIACRYPT) 2025
    [PDF]

  3. Lova: A Novel Framework for Verifying Mathematical Proofs with Incrementally Verifiable Computation
    Noel Elias
    Conference on Data and Application Security and Privacy (CODASPY) 2025
    CIFRIS: Topics in Applied Cryptography 2024
    [PDF] | [Code]

    4. 2024

  4. TexShape: Information Theoretic Sentence Embedding for Language Models
    Kaan Kale, Homa Esfahanizadeh, Noel Elias, Oguzhan Baser, Muriel Medard, Sriram Vishwanath
    IEEE International Symposium on Information Theory (ISIT) 2024
    [PDF] | [Code]

    5. 2023

  5. A Novel Score-CAM based Denoiser for Spectrographic Signature Extraction without Ground Truth
    Noel Elias
    IEEE International Joint Conference on Neural Networks (IJCNN) 2023
    [PDF]

    6. 2022

  6. Audio Classification of Low Feature Spectrograms Utilizing Convolutional Neural Networks
    Noel Elias
    IEEE International Conference on Machine Learning and Applications (ICMLA) 2022
    [PDF]

    7. 2020

  7. Robust Estimation of Bacterial Cell Count from Optical Density
    Jacob Beal, Natalie G. Farny, Traci Haddock-Angelli, Vinoo Selvarajah, Geoff S. Baldwin, Russell Buckley-Taylor, Markus Gershater, Daisuke Kiga, John Marken, Vishal Sanchania, Abigail Sison, Christopher T. Workman & iGEM Interlab Study Contributors
    Nature Communications Journal 2020
    [PDF]



Updated May 2026

© Noel Elias 2021