Moussa Koulako Bala Doumbouya

I (AKA Moussa Doumbouya): [Google Scholar] [LinkedIn] [Twitter] am a fourth-year Computer Science Ph.D. student at Stanford University with a focus on Artificial Intelligence (AI), Natural Language Processing (NLP), and Computational Education. My academic advisors are Christopher Manning and Dan Jurafsky.

I am researching how machine learning can augment pedagogy and how psychology can inform machine learning. I am also committed to advancing STEM education in West Africa, and to including under-served languages in NLP. My recent projects span linguistic resource curation, machine translation, speech recognition, computer science education, and AI safety.

Before starting the Ph.D., I carried out software engineering and research & development work for Libera, Agero, EBSCO, VideoIQ, Avigilon, and Apple. During this time, I worked on problems in Case Management, Telematics & Connected Vehicles, Bibliographic Database Development, Object Detection, Tracking and Re-identification in Video, Face Recognition, Content-based Image Retrieval, Cloud Infrastructure and User Interfaces for Video Surveilliance and Video Analytics, Error Analysis in Autonomous Navigation Systems, and Neural Network Interpretability, Compression, and Deployment.

Recent Projects

• h4rm3l: A Dynamic Benchmark of Composable Jailbreak Attacks for LLM Safety Assessment
• Handwritten Code Recognition for Pen-and-Paper CS Education
• Machine Translation for ߒߞߏ (NKo): Tools, Corpora, and Baseline Results
• Using Radio Archives for Speech Recognition in Maninkakan, Pular and Susu.

Teaching

• 2019-2020: GNCode Coding Camps
• 2020-2021: Code in Place
• 2024: Stanford CS224N Spring 2024

Publications & Links

• Academic Publications & Patents: [Google Scholar]
• Curriculum Vitae: [CV]
• Social Media: [LinkedIn] [Twitter]