Keynote lecture: Heng-Chang Chen, “Using quantitative and genomic approaches to study HIV latency”

Title: Using quantitative and genomic approaches to study HIV latency
Date:7 February 2024, 2pm
Location: Centre for Advanced Materials and Technologies CEZAMAT of the Warsaw University of Technology
19 Poleczki St, Warsaw
Room:1.47
Free admission

We would like to invite you to listen to a lecture by Heng-Chang Chen (Lukasiewicz Research Network – PORT Polish Center for Technology Development), which will be held on 7 February at 2 pm  at CEZAMAT WUT.

Biography

Heng-Chang Chen is a molecular virologist and data scientist with over eight years of experience. He obtained a PhD in Microbiology from the Humboldt University of Berlin (Berlin, Germany). Afterward, he joined the laboratory of Dr. Filion at the Centre for Genomic Regulation (Barcelona, Spain) and the laboratory of Dr. Benkirane at the Institute of Human Genetics (Montpellier, France) for postdoc research. During this period, he commenced my studies in HIV. In November 2022, he was appointed Junior Research Group Leader to head the Quantitative Virology Research Group in the Center for Population Diagnostics in the Łukasiewicz Research Network – PORT Polish Center for Technology Development (Wrocław, Poland).

Scope of studies

His research is bound to molecular barcodes, which are molecular tags, enabling the achievement of quantitative studies with a resolution of single viruses. Together with in silico modeling and AI-based approaches, his lab investigates the mechanistic interplay between viruses, i.e. HIV-1 and SARS-CoV-2, and the host genome, with an emphasis on (1) the investigation of latent HIV-1 reservoirs and stochastic HIV-1 transcription and (2) the identification of functional annotations of SARS-CoV-2 mutational signatures responsible for cross-species transmission.

 

 

Photo: Parts of the figure were drawn by using pictures from Servier Medical Art. Servier Medical Art by Servier is licensed under a Creative Commons Attribution 3.0 Unported License (https://creativecommons.org/licenses/by/3.0/)