Dr. David Koes

Biography

David Ryan Koes is an Associate Professor in the Department of Computational and Systems Biology at the University of Pittsburgh. He co-directs the Joint Carnegie Mellon-University of Pittsburgh Ph.D. Program in Computational Biology and is affiliated with the Master of Science program. His research focuses on the development of novel computational algorithms and full-scale systems aimed at supporting rapid and inexpensive drug discovery. He advocates for the use of machine learning techniques to solve complex, real-world problems and is a staunch supporter of open source software and open science. Koes is actively involved in teaching and has co-taught several courses, including Scalable Machine Learning in Big Data Biology and Introduction to Bioinformatics with a focus on programming in Python. He has received significant funding for his research, including grants from the National Institute of General Medical Sciences and the National Science Foundation. Koes has developed various software tools for computational biology, including libraries for molecular docking and chemical space exploration, and has contributed to the field with his innovative approaches to drug discovery.

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Experience

Courses