I'm a PhD working at the crossroads of Bioinformatics, Transformer architectures, Multimodal AI, and AI for Biomedicine. My background is in computational biology and genomics — I design algorithms and models where sequence, structure, and imaging data all need to talk to each other.
- 🧬 Bioinformatics-trained: sequence alignment, single-cell genomics, microbiome analysis, and high-performance computational pipelines are where I started, and still ground everything I build
- 🤖 Designing and fine-tuning Transformer-based models (LLMs, ViTs, multimodal encoders) for biomedical reasoning and sequence/structure understanding
- 🔗 Building multimodal AI systems that fuse imaging, text, and omics data for clinical decision support
- 🩻 Applying Computer Vision to X-ray and medical imaging — detection, segmentation, and diagnosis-support pipelines
- 🧫 Exploring microbiome–cancer interactions and immunotherapy response prediction
- 🧠 Building LLM-based biomedical multi-agent systems and drug repurposing tools
- 📈 Building an AI-powered quantitative trading platform for US stocks with intelligent decision-making agents
- ♻️ Passionate about optimization, open-source software, and scientific reproducibility
| 🧬 Bioinformatics Sequence alignment · Single-cell RNA-seq · Microbiome · HPC pipelines |
🤖 Transformers LLMs · ViTs · Multimodal encoders · Fine-tuning (LoRA) |
🩻 CV for X-ray Detection · Segmentation · Diagnosis support |
🧠 AI for Biomedicine Multi-agent systems · Drug repurposing · Multimodal fusion |
Transformers • Multimodal AI • Computer Vision (X-ray / Medical Imaging) • Bioinformatics • RAG • LoRA • LangChain • AI Agents • System Architecture • HPC
💬 Open to collaborations in Bioinformatics × Transformer & Multimodal AI × Medical Imaging × Clinical Applications 🐾 Fun fact: My coding speed rivals my husky's running speed.