Applied Scientist · Research × Engineering
I study hard problems and build useful things.
My work joins AI research with engineering, from the first experiment to reliable systems people can use in the real world.
Multimodal AI · Vision-Language Models · Deep Learning
Inverse-LLaVA: Eliminating Alignment Pre-training Through Text-to-Vision Mapping
Inverse-LLaVA maps text embeddings into continuous visual space, eliminating projection alignment pre-training while retaining competitive multimodal performance.
Take a look ↗Selected work
I follow research questions all the way to working systems.
Graph Neural Network · Natural Language Processing
Knowledge Injection for Text Generation in Social Network
A fusion network that combines Graph Neural Network representations with LLMs through knowledge injection and PEFT to generate textual edge features in social networks.
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Natural Language Processing
AI for Negotiation
LLM systems that code negotiation transcripts and simulate realistic negotiation scenarios for research.
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Computer Vision
Ancient Mortars Classification
A Vision Transformer pipeline for classifying ancient mortar particles and comparing material composition across archaeological samples.
Take a look ↗Beyond the work
A little more about me.
See how I got here, what keeps me curious, or meet Mino, my coding companion.
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