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Greyscale image of Ben Greulich, PhD
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Ben Greulich, PhD profile page

Assistant Professor of Biology

 at Mercer University School of Medicine

Ben Greulich obtained his Bachelors of Science degree in biology from Indiana University - Bloomington in 2015, after which he began his graduate work back at the Indiana University School of Medicine. There, he studied regulatory mechanisms of the oncogenic transcription factor, ERG, in Dr. Peter Hollenhorst's lab. Upon completion of his PhD in cell, molecular and cancer biology, he studied TGF-beta signaling and ectodomain shedding in Dr. Gerard Blobe's lab at the Duke University School of Medicine. Currently, Ben serves as an assistant professor of biology at Mercer University where he continues to research transcription factors and TGF-beta signaling in cancer.


Education

Indiana University - Bloomington


Awards & Certifications

Eunice and Dahl Wright Fellowship

Paul Harmon Scholarship for Academic Excellence


Areas of Expertise

Molecular Biology
Oncogenesis
Cancer Biology
Drug Discovery

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Content Written By, Reviewed By, or Featuring Ben Greulich, PhD
Total: 3
A section of DNA is isolated from the rest, illustrating CRISPR genome editing.
Article

Overcoming the Challenges of CRISPR Screening in Drug Discovery

CRISPR screens generate actionable insights for drug discovery—explore how to optimize a screen, how to avoid pitfalls, and how technology is expanding CRISPR’s utility.
Ben Greulich, smiling next to the title of his presentation "What Is Epigenetics?."
Video

What Is Epigenetics?

In this Teach Me in 10, Dr Ben Greulich, Assistant Professor of Biology at Mercer University, clarifies how epigenetic changes arise and are regulated, with a focused look at their role in human health and cancer biology.
Abstract molecular illustration for drug discovery with connected spheres
Webinar

Tech Spotlight: Target-Based Drug Discovery

On-Demand
Join us for a webinar on how advances in target-based drug discovery are reshaping therapeutic design. We’ll explore innovations in structure-based design, computational modeling and validation that speed target identification and optimization.
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