Titus Quah – Academic Homepage

About

Hi! I am Titus Quah, a researcher and software engineer with interests in machine learning, systems, and applied mathematics. I enjoy building tools that bridge the gap between research and real-world impact.

I am currently based in Singapore and open to collaborations in research and open-source projects.

GitHub Email Google Scholar CV / Résumé

Projects

Project Alpha

A framework for scalable distributed training of neural networks with minimal communication overhead.

Python ML Distributed

Homepage Code

Project Beta

An interactive visualisation tool for exploring high-dimensional embeddings in the browser.

JavaScript Visualisation

Homepage Code

Project Gamma

A benchmark suite for evaluating language models on reasoning tasks across multiple domains.

NLP Benchmarks LLM

Homepage Code

Publications

Efficient Distributed Training via Gradient Compression with Bounded Error Titus Quah, Author B, Author C
International Conference on Machine Learning (ICML), 2024
Paper arXiv Code Slides
Probing Spatial Reasoning in Large Language Models: A Benchmark Study Titus Quah, Author D
Findings of the Association for Computational Linguistics (ACL Findings), 2023
Paper arXiv Dataset
Interactive Exploration of High-Dimensional Data via Contrastive Embeddings Titus Quah, Author E, Author F
IEEE Visualization (VIS), 2022
Paper Demo Code