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Marwin Segler

Microsoft Research AI for Science; Chemistry+ML

Marwin Segler is a Principal Researcher at Microsoft, currently working in the AI for Science division.12 He has an extensive background in machine learning, reinforcement learning, chemistry, and drug discovery.1

Career Path

Segler's professional journey includes:

  1. Microsoft

    • Principal Researcher (March 2022 - Present)
    • Senior Researcher (September 2020 - March 2022)
  2. BenevolentAI

    • Lead Machine Learning Researcher (July 2018 - August 2020)
    • Senior Machine Learning Researcher (August 2017 - June 2018)

Education

Segler completed his education at Westfälische Wilhelms-Universität Münster, where he obtained:

  • A Diplom in Chemistry
  • A Ph.D. in Theoretical Organic Chemistry, Artificial Intelligence, and Machine Learning2

Research Impact

Marwin Segler has made significant contributions to his field:

  • He has been cited 8,456 times overall, with 7,917 citations since 2019
  • His h-index is 25, and his i10-index is 283

Current Work

At Microsoft Research AI4Science, Segler focuses on:

  • Machine Learning
  • Reinforcement Learning
  • Chemistry
  • Drug Discovery
  • AI-assisted Scientific Discovery and Creativity4

Segler is also an ELLIS (European Laboratory for Learning and Intelligent Systems) Scholar4, indicating his prominence in the European AI research community.

Related Questions

What are some of Marwin Segler's most notable research contributions?
How does Marwin Segler's work in reinforcement learning impact drug discovery?
What is the RetroGFN method developed by Marwin Segler?
How did Marwin Segler transition from theoretical organic chemistry to AI research?
What are the main challenges Marwin Segler faces in his research?
Marwin Segler
Marwin Segler, photo 1
Marwin Segler, photo 2
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Location

London, England, United Kingdom