Dr. David Blumenthal

Professor

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Biography

David B. Blumenthal heads the Biomedical Network Science Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg. He has a rich academic background, holding dual degrees in Mathematics and Philosophy from Berlin, as well as a PhD in Computer Science from the Free University of Bozen-Bolzano. His research focuses on using computational methods to understand complex biological systems. He has significant experience as a postdoctoral fellow at various prestigious institutions, including the Chair of Experimental Bioinformatics and the Faculty of Computer Science at Free University of Bozen-Bolzano. His work has led to advancements in areas such as dimensionality reduction for molecular data and network medicine, specifically tackling challenges in single-cell RNA sequencing and disease module mining. David has received multiple awards for his research excellence and actively participates in expert review for numerous scientific journals. He is also involved in several funded research projects aimed at bridging artificial intelligence and biomedical data analysis, which demonstrates his commitment to advancing the scientific community's understanding of complex biological phenomena.

Research Interests

Experience

Head

2021-06-01 — Present

Biomedical Network Science Lab • Erlangen, Germany

Leading a research lab focused on the application of network science in biomedicine.

Postdoctoral Fellow

2019-10-01 — 2021-06-30

Chair of Experimental Bioinformatics • Freising, Germany

Conducting research and development in experimental bioinformatics.

Postdoctoral Fellow

2019-03-01 — 2019-09-30

Faculty of Computer Science, Free University of Bozen-Bolzano • Bolzano, Italy

Engaged in postdoctoral research.

PhD Candidate

2015-11-01 — 2019-02-01

Faculty of Computer Science, Free University of Bozen-Bolzano • Bolzano, Italy

Pursued a doctorate with a focus on computational biology.

Requirements for Friedrich-Alexander-Universität Erlangen-Nürnberg

Master Program
Requirements
GPA Requirement
Required:2.5
TOEFL
Total
Required:85
IELTS
Overall
Required:5
Prerequisites
Bachelor's degree in Computer Science or a closely related subject Proof of relevant subject-specific knowledge (approx. 120 ECTS in CS modules)
Application Checklist
  • Bachelor's degree certificate
  • Transcript of Records
  • Secondary school leaving certificate
  • CV
  • Letter of Motivation
Specialization Notes

Department of Computer Science. Program involves a Qualification Assessment Process (QAP).