Daniel Schultz

Daniel Schultz is an Associate Professor at the Geisel School of Medicine at Dartmouth College, where he holds the John G. Kemeny Professorship in the Neukom 1964 Academic Cluster in Computational Science. His research focuses on quantitative approaches to gene networks in bacteria, particularly antibiotic resistance mechanisms.

• Education: PhD in Chemistry & Biochemistry (UC San Diego), Engineering in Electronics Engineering (ITA)

His work combines mathematical modeling, bioinformatics, experimental evolution, and microfluidics to study bacterial responses to environmental stressors. He investigates how gene regulatory circuits coordinate cellular processes, how antibiotic resistance evolves in clinical environments, and how microbial communities reorganize under environmental changes.

Scientific contributions include:

• Decoding dynamic gene regulation in antibiotic resistance
• Modeling fitness landscapes for bacterial evolution
• Developing predictive models for microbial community behavior

His lab reveals evolutionary trade-offs between resistance costs and benefits, showing how mobile genetic elements and repression mechanisms optimize bacterial survival. He also explores stochastic gene expression as a driver of phenotypic diversity.

Scientific awards:

• John G. Kemeny Professorship (Neukom 1964 Cluster)

Teaching:

• Course: Introduction to Quantitative Biology