Team

Staff Profiles

Rory Donovan-Maiye, Ph.D.

Scientist

Rory Donovan-Maiye joined the Allen Institute for Cell Science in 2017 as a scientist in the Modeling group.  

Rory received his BA in physics from Reed College, an MS in Physics from the University of Washington, and a doctorate in computational biology from a joint program at Carnegie Mellon University and the University of Pittsburgh, where he worked on enhanced sampling techniques for stochastic systems biology models, graphical model-based methods for structural biology applications, models of the ATP synthase, and network inference in high dimensional genomics data sets.

Prior to joining the Allen Institute, Rory was a postdoctoral fellow at the Institute for Systems Biology, where he applied statistical machine learning methods to solve problems in transcription factor binding prediction, and analyzed longitudinal multi-omics human subjects datasets to extract mechanistic causal drivers of human health and disease.

Rory’s work focusses on designing efficient learning algorithms for extracting knowledge from high dimensional experimental data, and in integrating machine learning approaches with mechanistic biophysical models to create multiscale models of cellular behavior.

Research

Research Interests

I am interested in designing efficient learning algorithms for extracting knowledge from high dimensional experimental data, and in integrating machine learning approaches with mechanistic biophysical models to create multiscale models of cellular behavior.

Expertise

  • Physics
  • Biophysics
  • Computational biology
  • Statistics
  • Machine learning

Research Programs

  • Integrated Cell