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David Koes, Associate Professor
David Koes
Associate Professor and Vice Chair, Education & Co-Director, CPCB
Co-Director, CPCB

PhD in Computer Science, Carnegie Mellon University

412-383-5745
dkoes@pitt.edu
Office: 748 MURD
Lab Website

Research Summary

Removing barriers to computational drug discovery one bit at a time

I develop and apply innovative computational methods to accelerate drug discovery. By combining machine learning, discrete algorithms, and structural modeling, my research aims to transform how we identify new therapeutics. A key focus of my work is transforming these methods into open source, easy-to-use software platforms that lower the barrier to entry for drug discovery, empowering researchers across disciplines.

Teaching
COBB2035: Modern Methods for Structure Based Drug Discovery

An introduction to the modern computational approaches and governing physical and chemical principles that underpin structure-based drug discovery.
Fall Semester (2025-)

COBB2060: Machine Learning for Biomedical Applications

Successor to Scalable. Less distributed and cloud computing.
The focus remains on applications rather than theory. Co-taught with Maria Chikina

Spring Semester (2025-)

Publications