University of Connecticut

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Allied Health Sciences Faculty Search Talk: Dr. Mohammad Al-Mamu

Tuesday, October 30, 2018
12:00pm – 1:00pm

Storrs Campus
Koons 217

Join us as we welcome four candidates for a new Assistant Professor position focused on Innovative Research Methods and Analysis of Complex Data in the Health Sciences.

Please join us for the fourth candidate's talk (45 minutes plus 15 minutes of discussion):

Mohammad Al-Mamun, PhD (Post-Doctoral Research Associate, Department of Epidemiology of Microbial Diseases, Yale School of Public Health)

"An Interdisciplinary Approach to Understand Disease: Big Data-Driven Modeling"

One of the major challenges of translational health research is to understand and predict a disease progression based on the big datasets: electronic records, phenotypic testing, genomic testing, and behavioral data. Often these complex datasets require an interdisciplinary approach to make individual- and population-based decision by interfacing epidemiology, data science and applied computing science theories. In this talk, I will present how a disease-related complex dataset can direct us to build mathematical models to understand how an infectious disease spreads and predict how an individual-based decision making can help to stop that disease. I will also present, how a new mathematical modeling framework can improve the traditional vaccine efficacy measurement by combining individual patient-level information and disease status. Ultimately, these data-driven methods will open multiple doors to the scientific communities to investigate complex diseases using interdisciplinary approaches.


Allied Health Sciences Department (primary), College of Agriculture, Health and Natural Resources, Institute for Collaboration on Health, Intervention, and Policy , UConn Master Calendar

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