# Ehsaneddin Asgari

> researcher (ORCID 0000-0002-6518-7238)

**Wikidata**: [Q92148996](https://www.wikidata.org/wiki/Q92148996)  
**Source**: https://4ort.xyz/entity/ehsaneddin-asgari

## Summary
Ehsaneddin Asgari is an Iranian computer scientist and researcher known for his work in computational biology and machine learning. He has held positions at prestigious institutions including MIT, UC Berkeley, and the Helmholtz Centre for Infection Research. His research focuses on applying computational methods to biological problems.

## Biography
- Born: Not specified
- Nationality: Iranian
- Education: PhD from UC Berkeley (2019), MS from MIT (2014), MS from EPFL (2014)
- Known for: Computational biology and machine learning research
- Employer(s): Helmholtz Centre for Infection Research (2017-2019, 2019-present), Ludwig-Maximilians-Universität München (2014-2018), ABB Switzerland Ltd (2012)
- Field(s): Computer science, computational biology

## Contributions
Ehsaneddin Asgari has made significant contributions to computational biology through his research at the intersection of computer science and biological sciences. During his doctoral studies at UC Berkeley under Mohammad R. K. Mofrad, he developed computational methods for analyzing biological data. His postdoctoral work at the Helmholtz Centre for Infection Research focused on applying machine learning techniques to infectious disease research. Asgari has published research on computational approaches to understanding biological systems, particularly in the context of infectious diseases. His work has been recognized through his ORCID identifier (0000-0002-6518-7238) and his inclusion in academic genealogy records.

## FAQs
### Q: What is Ehsaneddin Asgari's primary field of research?
A: Ehsaneddin Asgari specializes in computational biology and machine learning, applying computational methods to solve biological problems, particularly in infectious disease research.

### Q: Where did Ehsaneddin Asgari complete his education?
A: Asgari earned his PhD from the University of California, Berkeley in 2019, his MS from MIT in 2014, and another MS from EPFL in 2014.

### Q: What institutions has Ehsaneddin Asgari been affiliated with?
A: He has been affiliated with the Helmholtz Centre for Infection Research, Ludwig-Maximilians-Universität München, ABB Switzerland Ltd, and MIT.

## Why They Matter
Ehsaneddin Asgari represents an important bridge between computer science and biological research, contributing to the growing field of computational biology. His work at the Helmholtz Centre for Infection Research has helped advance our understanding of infectious diseases through computational methods. By applying machine learning techniques to biological data, Asgari has contributed to the development of new analytical tools that can process and interpret complex biological information. His research helps address critical challenges in understanding disease mechanisms and developing potential interventions, making him a valuable contributor to both the computer science and biological research communities.

## Notable For
- PhD from UC Berkeley under Mohammad R. K. Mofrad
- Postdoctoral research at Helmholtz Centre for Infection Research
- Work on computational methods for infectious disease research
- Publications in computational biology and machine learning
- Mathematics Genealogy Project ID: 261536

## Body
### Academic Background
Ehsaneddin Asgari completed his doctoral studies at UC Berkeley, where he was advised by Mohammad R. K. Mofrad. His dissertation work focused on computational approaches to biological problems, establishing his expertise in the intersection of computer science and biology.

### Research Career
After completing his PhD in 2019, Asgari joined the Helmholtz Centre for Infection Research as a postdoctoral researcher, where he has continued his work on applying computational methods to infectious disease research. His research has been conducted under the mentorship of Alice Carolyn McHardy and Hinrich Schütze, as documented in academic genealogy records.

### Professional Experience
Asgari's professional experience spans both academic and industrial settings. He worked as a researcher at Ludwig-Maximilians-Universität München from 2014 to 2018, and earlier held a position at ABB Switzerland Ltd Corporate Research in 2012. This diverse experience has provided him with a broad perspective on applying computational methods across different domains.

### Research Focus
His work primarily focuses on developing and applying machine learning algorithms to analyze biological data, with particular emphasis on infectious diseases. This research contributes to the broader field of computational biology, which seeks to use computational tools to understand complex biological systems and processes.

## References

1. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-6518-7238/education/1238007)
2. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-6518-7238/education/1238009)
3. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-6518-7238/education/1238008)
4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-6518-7238/employment/8998012)
5. [ORCID Public Data File 2021](https://pub.orcid.org/v3.0/0000-0002-6518-7238/employment/1238010)
6. [ORCID Public Data File 2021](https://pub.orcid.org/v3.0/0000-0002-6518-7238/employment/1238013)
7. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-6518-7238/employment/8997993)
8. Mathematics Genealogy Project