A foundation modeling and data infrastructure lab for immunology

We're building the computational infrastructure to model the immune system — starting with cancer. We're hiring.

The immune system is the most powerful therapeutic tool in biology. We're building the foundation models and data infrastructure to understand it.

We can sequence it, profile it, perturb it — but we cannot simulate how a patient's immune cells will respond to a specific intervention. We're changing that, starting with cancer.

Our Team

Built by experts in machine learning and immunology.

Arash Behravesh

CEO

MS in Machine Learning, UC San Diego. Published at ICML on efficient inference methods. Founding ML engineer at Sciforium, designing pretraining and alignment pipelines for multimodal foundation models. Previously at Qualcomm AI Research on distributed and efficient training.

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Siavash Mashhouri

Chief Scientific Officer

PhD in Immunology, University of Toronto. Published researcher in T-cell biology, tumor immunology, and immune checkpoint biology. Experienced in cell and gene therapy, including in silico design of CAR constructs and single-cell RNA-seq data analysis.

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Ang Li

CTO

PhD, Duke University. Assistant Professor of ECE at the University of Maryland. Research focuses on efficient ML systems, parameter-efficient adaptation, and large-scale model training. Deep expertise in adapting foundation models to sparse, domain-specific data.

𝕏 in GS