Andrew Trister, MD PHD

Andrew TristerTitle:

Clinical Research Professor


Radiation Medicine


Radiation Medicine, Outcomes Research, Informatics




BSE in Computer Science and Engineering, School of Engineering & Applied Science, University of Pennsylvania

BA in Biological Basis of Behavior

Graduate Degree:

MSE in Computer Information Science, University of Pennsylvania

  • Thesis: Reconstruction of 3-D Space Using Structured Light

PhD in Bioengineering, University of Pennsylvania

  • Thesis: Nanoscale Particle Binding In-Silico: HIV Docking and Multivalent Recruitment Under Flow

MD: University of Pennsylvania Perelman School of Medicine

  • Fellowship: Sage Bionetworks, NCI Designated Center for Cancer Systems Biology

Interest and Accomplishments:

Mole Mapper early cancer detection tool co-developed by Dr Trister

An App for That: Game-Change for Breast Cancer Patients

Share the Journey


Impact of bioinformatic procedures in the development and translation of high-throughput molecular classifiers in oncology.

From patient-specific mathematical neuro-oncology to precision medicine.

A network-heuristic approach to improve the impact of genomic data on drug discovery.

Response classification based on a minimal model of glioblastoma growth is prognostic for clinical outcomes and distinguishes progression from pseudoprogression

Discriminating survival outcomes in patients with glioblastoma using a simulation-based, patient-specific response metric.

Adaptive IMRT using a multiobjective evolutionary algorithm integrated with a diffusion-invasion model of glioblastoma.

Prognostic value of primary tumor FDG uptake for occult mediastinal lymph node involvement in clinically N2/N3 node-negative non-small cell lung cancer.

Role of gp120 trimerization on HIV binding elucidated with Brownian adhesive dynamics.

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