We study the complexity of human diseases by integrating engineering, computer science, and biology. We use big data, artificial intelligence, and mathematical models to analyze cells and genes and advance the field of personalized medicine.

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We develop in vitro tissue models that replicate the mechanical properties and microarchitecture of tissues to study biological processes and evaluate therapies in controlled environments. In addition, we are advancing TOUCAN (nuclease-activated therapeutic oligonucleotides) technology to develop more precise treatments for drug-resistant infections, cancer, and other diseases.  

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We apply advanced mathematics—matrix analysis, optimization, algorithms, and distributed computing—to communications and signal processing to improve the efficiency and security of data transmission. We also develop algorithms for quantum computing and apply these approaches to challenges in transportation, materials, and management .  

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We address one of the main challenges of quantum technologies: the instability of qubits and the errors that affect computations and information transmission. We develop error-correction methods, error-detection algorithms, and techniques to reduce the impact of noise on quantum processors and channels. In addition, we explore quantum generative models to develop more stable and practical systems.

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We improve management by studying treatment processes and resource recovery in urban and industrial wastewater. We use mathematical models and simulation tools to optimize water quality, reduce consumption, and minimize environmental impact. We collaborate with companies on projects ranging from wastewater pretreatment to the recovery of compounds and the reduction of discharges and energy costs.  

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