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Halicioğlu Data Science Institute (HDSI)

The cross-disciplinary HDSI was founded in 2018 as the UC San Diego campus hub for data science. HDSI builds on the university’s strengths of multidisciplinary collaboration and data science to provide researchers across the campus a powerful engine to incorporate data science into their respective disciplines, allowing them to better understand and make predictions about the world around us.


HDSI Mission and Goals

The Halıcıoğlu Data Science Institute is an academic unit at UC San Diego with a focused mission. Its mission is to lay the groundwork for the scientific foundations of this emerging discipline, develop new methods and infrastructure, and train students, faculty and industrial partners to use data science in ways that will allow them to solve some of the world’s most pressing problems

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HDSI Faculty Investigators

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HDSI has built a core of more than 200 faculty members affiliated across more than 20 academic disciplines, from mathematics to the medical school.  HDSI is organized into "clusters" of shared interest and domain knowledge including Data Science Theory, Enabling Discovery, Cross-Cutting Systems, and Data Science in Society.  HDSI continually launches new research efforts within the institute that bring together researchers with complementary skills, such as method innovators working with application domain experts, thereby advaning the field of Data Science.

CHARM Collaboration Contact:  Rajesh Gupta, PhD  (Founding Director of HDSI)

CHARM ↔ HDSI Collaborations

In the search for new diagnostic and therapeutic advances for antibiotic-resistant pathogens, CHARM leverages the expertise, computational technologies and infrastructure of HDSI to analyze microbial and host genome architecture, gene expression, and proteomic and metabolomic data. Likewise, HDSI perspective on advances in systems pharmacology and and clinical data science inform a pathway toward personalized infectious diseases medicine.

 

The Quantified Self

CHARM and HDSI scientists conducted an ambitious study that tracked the abundance of genes and proteins as they fluctuated during various inflammatory states over a 4.5-year period in a patient with colonic Crohn's disease. Fundamental relationships between genes and proteins of a single individual's fecal microbiome linked to clinical consequences or antibiotic exposure are now achievable.

Read at mSystems