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Data-Driven Life Science Seminar for the position in Precision Medicine

Tue
14
Feb
Time Tuesday 14 February, 2023 at 13:00 - 15:30
Place Nat D300 (Naturvetarhuset, Umeå University)

Adjacent to the recruitment process for a group leader position in Data-Driven Life Science (DDLS) in precision medicine and diagnostics, the top candidates will present at a seminar on Tuesday February 14.

13.00-13.10 Introduktion till DDLS, Johan Trygg. 
13.10-13.40 Ping Chen. Developing data-driven strategies for diagnosis and intervention of human immunometabolic diseases. 
13.40-14.10 Cemal Erdem. Omics data + Machine learning + Mechanistic (QSP) models = Mechanistic precision medicine modeling. 
14.10-14.30 Paus
14.30-15.00 Avlant Nilsson. Deep learning models of cancer mechanisms. 
15.00-15.30 Muhammad Arif. Time-Dynamics Integrative Data-Driven Frameworks for Biomarkers and Targets Discovery in Progressive Diseases.

The seminar will be held in Nat D300 (Naturvetarhuset, Umeå University) as well as online on Zoom. Mazemap to Nat D300

DDLS is a program from Knut and Alice Wallenberg Foundation (KAW). The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative funded with a total of 3.1 billion SEK from the KAW.

The purpose of the program is to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in life science in Sweden.

Furthermore, the program aims to strengthen collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. The DDLS program will focus on four strategic areas of data-driven research: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and infection biology. For more information on DDLS: https://www.scilifelab.se/data-driven/

Zoom-link: https://umu.zoom.us/j/68231006729?pwd=MVQxU2tuNGptRlJkSmNuZDNwcDQ4dz09

Meeting ID: 682 3100 6729
Passcode: 909955

Event type: Seminar
Contact
Mikael Stiernstedt
Read about Mikael Stiernstedt