Hariri Institute for Computing, Boston University

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Hariri Institute for Computing, Boston University The Hariri Institute initiates research convergence and facilitates integrated initiatives for social good at the nexus of the computational and data sciences.

An incubator and convergence accelerator in a university setting, the Hariri Institute for Computing at Boston University initiates, catalyzes, and propels transformative computational and data-driven research and training initiatives across the landscape of academic disciplines for a better society.

For many burn survivors, returning to work, rebuilding relationships, and navigating everyday social interactions remain...
10/05/2026

For many burn survivors, returning to work, rebuilding relationships, and navigating everyday social interactions remain among the most difficult parts of recovery.

To help address those challenges, researchers from Boston University, Spaulding Rehab, Massachusetts General Hospital, Harvard Medical School, and the Phoenix Society along with SAIL developed LIBRE GO!, a smartphone app that allows burn survivors to assess their social recovery, monitor changes over time, and connect with evidence-based resources.

Learn more about the new study published in the Journal of Burn Care & Research , the app’s development, and pilot testing at the link in our bio!

Research team:
Huan Deng
John T Morris
Amy Acton
Diana Tenney-Lapierre
Lewis Kazis
Pengsheng Ni
Jeffrey Schneider
Colleen Ryan
Mary Slavin
Greg Frasco

Supported by:
Shepherd Center
The National Institute on Disability, Independent Living, and Rehabilitation Research

FY27 Focused Research Programs Spotlight: "Multi-Scale Neuro-AI for Striatal Learning: Machine Learning, Voltage Imaging...
06/04/2026

FY27 Focused Research Programs Spotlight: "Multi-Scale Neuro-AI for Striatal Learning: Machine Learning, Voltage Imaging, and Safe Perturbation Design"

This FRP will build a BU Neuro-AI community around multi-scale striatal learning by integrating neuromodulator recordings, voltage imaging, machine learning, and reinforcement-learning theory.

Learn more about this FRP at the link in our bio!

FRP Leaders:
• Mark Howe, PhD, Assistant Professor, Psychological & Brain Sciences (CAS)
• Venkatesh Saligrama, PhD, Professor, Electrical & Computer Engineering and Systems Engineering (ENG)

Core and Affiliated Faculty:
• Wei-Lun (Harry) Chao, PhD, Associate Professor, Electrical & Computer Engineering (ENG)
• Brian DePasquale, PhD, Assistant Professor, Biomedical Engineering (ENG)
• Aditya Gangrade, PhD, Research Scientist, Electrical & Computer Engineering (ENG)
• Xue Han, PhD, Professor, Biomedical Engineering (ENG)
• Aldo Pacchiano, PhD, Assistant Professor, Computing & Data Sciences (CDS)
• Xuezhou (Jack) Zhang, PhD, Assistant Professor, Computing & Data Sciences (CDS)
• David Boas, PhD, Professor, Biomedical Engineering and Electrical & Computer Engineering (ENG); Director, Neurophotonics Center
• Chandramouli Chandrasekaran, PhD, Assistant Professor, Anatomy & Neurobiology, Psychological & Brain Sciences, Center for Systems Neuroscience, and Biomedical Engineering (Chobanian & Avedisian SOM)
• Marc Howard, PhD, Professor, Psychological & Brain Sciences (CAS)
• Michael Economo, PhD, Assistant Professor, Biomedical Engineering (ENG)
• Anna Devor, PhD, Professor, Biomedical Engineering (ENG)
• Michael Hasselmo, PhD, Professor, Psychological & Brain Sciences (CAS)
• Aaron Mueller, PhD, Assistant Professor, Computer Science (CAS)
• Deepti Ghadiyaram, PhD, Assistant Professor, Computer Science (CAS)
• Boqing Gong, PhD, Assistant Professor, Computer Science (CAS)

Address

111 Cummington Mall
Boston, MA
02215

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