2019 Left to right: Ricardo Espinosa, MiHyun (Amy) Jang, Soham Bose, Prativa Sahoo, David Frankhouser, Russell Rockne, Sergio Braciamore, Daniel Abler, Davide Maestrini, Michelle Morales (administrative assistant), Lisa Costan (grants administration, financial analyst). Not shown: Vikram Adhikarla, Syed Rahmanuddin.
He has further trained in the kinetic analysis of PET imaging data in the Department of Radiology at Emory University in Atlanta. His focus in particular has been on the evaluation of novel radiotracers used for imaging neurological disorders.
As a scientist at City of Hope, he uses his skills to analyze the migration of stem cells in immunohistological and three dimensional cleared images of the mice brain. This data analysis feeds into his work on the prediction of stem cell migration paths for the translational purpose of optimizing the clinical delivery of stem cell therapeutics. Concurrently, he is also involved in analysis of clinical molecular imaging data for evaluation of novel radiotracers poised to deliver clinical impact.
At the European Organization for Nuclear Research (CERN), Daniel studied technical feasibility of a new accelerator-based research infrastructure for ion-beam radiobiology. He also investigated model-driven data collection approaches to address semantic interoperability challenges in the context of ion-beam radiotherapy.
Over the past 4 years, Daniel has been working on image-based computational models for various body-sites and medical conditions. His current research focuses on the effect of biomechanical forces on formation and development of brain tumors and possible implications for treatment; he develops mathematical models to investigate this question.
Daniel is interested in model-based computational approaches for integrating clinical and pre-clinical information into decision processes. He hopes that these efforts will ultimately improve the treatment of individual patients and facilitate the quantitative assessment of therapeutic approaches. Daniel has strong experience in the implementation of image-based finite-element models, related image and data processing, and analysis. His current research appointment as Marie Skłodowska-Curie Fellow is shared between City of Hope and the University of Bern, Switzerland.
Davide's research covers non-linear physics, non-equilibrium statistical mechanics, dynamical systems and mathematical modeling of cancer dynamics. In particular, he is currently working on the developing of a mathematical model of Acute Myeloid Leukemia.
She has developed a new three compartmental kinetic model for DCE-MRI post processing and the work has been selected for coverpage publication in the Journal of Magnetic Resonance Imaging (JMRI). Over the years she has published 7 journal papers published and 26 ISMRM conforence proceedings. She is interested in developing new algorithims and MR methodologies to answer various clinical questions and also to explore new areas like rs-fMRI and CEST imaging.