Curriculum Vitae

At a Glance

TitleDr. rer. nat.
NameHannah Sabeth Schwarzer-Sperber
Current PositionGroup Leader / Principal Investigator
InstitutionInstitute for the Research on HIV & AIDS-associated Diseases, University Medicine Essen (UME), Essen, Germany
E-mailhannah.schwarzer-sperber@uk-essen.de
ORCID0000-0002-9638-6555
h-index5 (Web of Science, Aug 2025)
Hannah Sabeth Schwarzer-Sperber

Professional Experience

Jan 2024 – present
Essen, Germany
Principal Investigator
Mar 2021 – Dec 2023
Essen, Germany
Postdoctoral Fellow
Jun 2017 – Mar 2021
San Francisco, CA
Doctoral Researcher
Feb 2017 – May 2021
San Francisco, CA
Research Assistant
Aug 2016 – Feb 2017
Berlin, Germany
Self‑employed Image Analyst
Sep 2014 – May 2016
Rehovot, Israel
Master’s Student
Nov 2013 – Sep 2014
Berlin, Germany
Research Student
Feb 2013 – Nov 2013
Berlin, Germany
Bachelor Student
Oct 2010 – Dec 2013
Berlin, Germany
Tutor

Education & Degrees

Jun 2017 – Sep 2021
Berlin, Germany
Dr. rer. nat., Biochemistry
Oct 2013 – Sep 2016
Berlin, Germany
Master of Molecular Life Sciences
Oct 2009 – Nov 2013
Berlin, Germany
Bachelor of Biology

Contributions to Science

My research integrates mechanistic studies of viral persistence, discovery of broad-spectrum antivirals, dissection of viral entry pathways, advanced imaging, and systems-level profiling to drive translational virology.

1

HIV Latency & Reactivation

Defining how cellular pathways—hypoxia, glucocorticoid signaling, and AKT/mTOR—regulate latent HIV reservoirs, and evaluating in vivo and ex vivo strategies for latency reversal.

2

Antiviral Discovery & Virus Entry Inhibition

Development of repurposed and novel small molecules, and characterization of endogenous proteins, to block coronavirus entry and replication.

3

Viral Entry Mechanisms & Advanced Imaging

Utilizing high‑resolution microscopy and flow cytometry to dissect entry pathways of hantaviruses and visualize dynamic host–virus interactions.

4

Systems Biology & Transcriptomic Profiling

Applying large‑scale transcriptomic and computational approaches to reveal molecular networks in human tissues and model organisms.