Research Scientist
Mary Gates Research Scholar 2010
Neurobiology Major
Applied, Computational and Mathematical Sciences (ACMS) Major
After Anne’s first quarter in the lab (summer 2009), she was hired as a research scientist (a professional staff position) to lead our data collection efforts, as well as to lead the training of new students in tumor identification. Anne has the unofficial title of Data Manager, which included data verification, accuracy and frequent reports to me regarding collection status, progress and on occasion, specific analysis.
Anne is currently involved in many research projects, including uncertainty quantification, and a proposal to investigate the cellular and molecular signatures of cystic brain tumors. Anne is currently applying to medical schools with the aim of neuro-surgery.
Papers:
1. A. L. Baldock, R. Rockne, A. Boone, M. Neal, M. M. Mrugala, J. K. Rockhill, K. R. Swanson. Patient-Specific Mathematical Neuro-Oncology: Predicting Prognosis and Treatment Response in Individual Gliomas Patients. Submitted
2. A. L. Baldock, S. Ahn, R. Rockne, M. Neal, D. Corwin, H. Malone, V. Ebaina, A. Sonabend, M. M. Mrugala, J. K. Rockhill, R. Rostomily, D. L. Silbergeld, A. Lai, T. Cloughesy, G. McKhann, J. Bruce, P. Canoll, K. R. Swanson. Patient-specific metrics of invasiveness reveal significant prognostic benefit of extensive resection in a subset of less diffuse malignant gliomas. Submitted
3. M. L. Neal, T. Cloke, R. Sodt, A. L. Baldock, A. D. Trister, A. Boone, S. Ahn, T. Cloughesy, A. Lai, M. M. Mrugala, J. K. Rockhill, R. Rockne, K. R. Swanson. Predicting survival using metrics of treatment response tuned to patient-specific glioblastoma kinetics. Submitted
Abstracts:
1. A. Baldock, R. Rockne, P. Canoll, D. Born, K. Yagle, K. R. Swanson. Cystic Gliomas are Quantitatively Less Biologically Aggressive. Annual Meeting of the Society for Neuro-Oncology, 2011