Bhatt-Duchene Group: Computational and Mathematical Global Health

We are a world leading group that focuses on a diverse range of topics. We research at the interface between computer science, mathematics, biology and epidemiology.

Illustration of computational global health

 

 

 

 

 

 

We address traditional policy-relevant questions in epidemiology, leveraging new methodologies from statistics and deep learning that can improve prediction and estimation.

 

 

 

 

 

 

We employ contrastive learning to study images in both satellites and medical cases. We also make use of behavior from video for early detection of infections, using a range of deep learning techniques. We explore the evolution protein structures with the latest deep learning tools, among a broad range of upcoming data types relevant to public health, human history, and genomics.

 

 

 

 

 

 

 

 

 

 

 

 

We study renewal, Hawkes and branching processes to model infectious disease data. We focus on the mathematical foundations of these processes, and applied our work on quesetions from economics and health.

 

 

 

 

 

 

The genomic data deluge requires new approaches to disentangle the dominant historical and biological signals in genomic data. We are working on highly computationally efficient approaches of exploring historical signals in genomes, as well as the drivers of genomic novelty in pathogens and their animal hosts.

 

We are building the mathematical foundations to estimate time 0. 

 

 

 

 

Samir Bhatt (right)

Group leader

Samir Bhatt
Professor

Phone +45 35 32 21 34
samir.bhatt@sund.ku.dk

Name Title Phone E-mail
Andersen, Frederik Mølkjær PhD Fellow E-mail
Banholzer, Nicolas Guest Researcher +4535331443 E-mail
Bhatt, Samir Professor +4535322134 E-mail
Chakradeo, Kaustubh Sanjay PhD Fellow +4535329230 E-mail
Christensen, Cecilie Research Assistant +4535331685 E-mail
Curran-Sebastian, Jacob Liam Postdoc +4535328776 E-mail
Duchene, David Associate Professor +4535321084 E-mail
Hruza, Johannes Martin PhD Fellow +4535333062 E-mail
Huang, Hengguan Assistant Professor +4535321807 E-mail
Katsiferis, Alexandros Postdoc E-mail
Khurana, Mark Poulsen PhD Fellow +4535329156 E-mail
Leow, Prince Ravi PhD Fellow E-mail
Lyngse, Frederik Plesner Assistant Professor +4535337412 E-mail
Pust, Nina PhD Fellow +4535321629 E-mail
Scheidwasser, Neil Alexandre PhD Fellow +4535332817 E-mail
Sloth, Mathilde Marie Brünnich PhD Fellow E-mail
Zhu, Harrison Bo Hua Assistant Professor +4535322823 E-mail
le Fevre, Nils Hother Student FU +4535334460 E-mail