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Thematic Research Area

Interdisciplinary Innovation

Data analytics bridging mathematics, medicine, and enterprise

info Overview

DASCLAB deliberately brings together mathematicians, computer scientists, clinicians, and social scientists to attack problems that no single discipline can solve alone.

flag Objectives

  • Launch three cross-departmental joint research projects per cycle
  • Publish in at least two disciplinary journals outside mathematics per year
  • Establish a joint seminar series with the Medical School and Engineering Faculty
  • Develop data analytics consulting capacity for Kenyan enterprises

settings Methods & Approaches

check_circle Cross-departmental project grants
check_circle Visiting researcher programme with clinical and industry partners
check_circle Joint supervision of students across faculties
check_circle Enterprise data analytics engagements

folder_open Related Projects

Air Quality Prediction for Nairobi
Active

Spatio-temporal deep learning model for PM2.5 forecasting using low-cost sensor networks.

calendar_today2024