TCR-Epitope Modeling / ImmunTango
Deep learning models for TCR-peptide binding prediction and design.
ImmunologyDeep Learning
Sheng Liu
Building AI systems for biomedical research.
Making biomedical innovation more accessible, from bits to atoms, for better health.
I build at the intersection of AI, research workflows, and product design, from models that improve biological understanding to systems that help research teams move faster and turn ideas into real-world tools.
About
Who I am
I work across AI, product, and research infrastructure.
My background spans immunology, machine learning, and systems design.
I enjoy turning hard research problems into clear systems, and early ideas into tools people actually use.
PhD in Computational Biology
Deep grounding in computational biology, research, modeling, and biological systems.
AI x Biomedicine
Building models and tools where machine learning meets biomedicine.
Research to Product
Translating advanced research into systems with real operational value.
Selected Work
Projects across biology, AI systems, and scientific products.
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Focus Areas
Long-range themes that shape the work.
AI for Life Science
Applying AI to advance discovery and medicine.
Computational Immunology
Understanding adaptive immunity with computation.
Agentic AI
Building autonomous systems that get work done end-to-end.
Scientific Infrastructure
Scalable tools and data systems for researchers.
Research to Product
Turning research into products with real-world impact.
Translation
Turning scientific ideas into tools with real-world value.
Writing / Ideas