Scott Reed

Scott Reed is a Professor in the Department of Chemistry within the College of Liberal Arts and Sciences at the University of Colorado Denver. His office is located in Room 4131 of the Science Building, with mailing address at Department of Chemistry, Campus Box 194, P.O. Box 173364, Denver, CO 80217-3364.

Dr. Reed earned his Ph.D. and M.S. from the University of Oregon in 2001 and 1996 respectively, and completed his undergraduate studies with a B.A. from Bard College, NY in 1994.

His primary research interests span pharmacogenomics, artificial intelligence, nanoscience, chemical synthesis, and green chemistry. His work particularly focuses on developing computational tools to identify genetic variants that explain adverse drug reactions (ADRs). His research program has two main goals: creating an online tool that identifies specific ADRs and their causative drugs, and developing another tool that generates candidate genetic variants explaining specific ADRs. These tools facilitate rapid hypothesis testing about pharmacogenomics causes of harmful drug side effects.

Dr. Reed's publication record shows a strong interdisciplinary approach with recent work (2022-2024) emphasizing AI/ML applications to chemical and pharmacological problems. His research spans from fundamental chemical synthesis and nanoscience to computational biology and AI-driven drug safety analysis.

He is actively involved in educational initiatives including a course on "Vibe Coding," a Neural Network Tutorial available on YouTube, and the development of a CNN-in-Excel project (Tetris_CNN) that demonstrates convolutional neural networks within spreadsheet applications. He has also created a Chemistry Knowledgeable GPT to assist with molecular informatics.

Dr. Reed maintains an active research laboratory with projects including the Advancing AI-Assisted Molecular Synthesis Challenge, focusing on applying artificial intelligence to chemical synthesis problems.