Author

D. Engelhardt

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

T. O. McDonald· 2 shared C. Vincentelli· 1 shared E. Shakhnovich· 1 shared F. Michor· 1 shared K. A. Walentynowicz· 1 shared M. Janiszewska· 1 shared R. Salatino· 1 shared S. Yadav· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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2 shared papersEvolutionary Biology

T. O. McDonald

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

evosim: fast and scalable stochastic simulations of evolutionary dynamics

D. Engelhardt, T. O. McDonald

evosim provides a fast and scalable tau-leaping algorithm for simulating evolutionary dynamics, showing logarithmic runtime scaling compared to linear SSA scaling.

bioRxiv · Sep 28, 2022 · PreprintEvolutionary Biology

Single-cell genetic heterogeneity linked to immune infiltration in glioblastoma.

K. A. Walentynowicz, D. Engelhardt, S. Yadav, U. Onubogu, R. Salatino, C. Vincentelli, T. O. McDonald, F. Michor, M. Janiszewska

The paper links genetic heterogeneity in glioblastoma to immune infiltration by analyzing single-cell genomic and spatial data.

bioRxiv · Sep 20, 2021Cancer Biology

Mutation rate variability as a driving force in adaptive evolution

D. Engelhardt, E. Shakhnovich

The paper shows that mutation rate variability affects resistance fixation in bacterial populations under stress, with low and high stress leading to disproportionate hypermutation effects.

bioRxiv · Jun 26, 2018Evolutionary Biology