+44 1865 615162
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Integrating Models to Quantify Environment-Mediated Drug Resistance.
Cancer research issue 19 volume 77 page 5409-5418 (October 2017)
Stem Cell Plasticity and Niche Dynamics in Cancer Progression.
IEEE transactions on bio-medical engineering issue 3 volume 64 page 528-537 (March 2017)
I have a maths & engineering background. During my last year of my undergraduate I discovered the fascinating world of applied mathematics in cancer biology. I joined the Industrial Doctorate Centre DTC programme in order to broaden my horizons and to get to know the variety of research fields falling under the systems biology approach. My DPhil project will allow me to gain an insight on the biology of the problems, while improving my mathematical modelling knowledge.
- DPhil research project in Tumour-stromal interactions in progression and drug resistance in the Mathematical Biology group, supervised by Philip K. Maini (Wolfson Centre for Mathematical Biology - University of Oxford) and Alexander R. A. Anderson (Integrated Mathematical Oncology - Moffitt Cancer Center).
DTC 10-week project at the Computational Science lab - Microsoft Research - Cambridge.
Ten weeks research project in the Computational Science department under the joint supervision of Dr. Drew Purves (head of the CEES group at Microsoft) and Dr. James Osborne (University of Oxford and Microsoft Research). I developed motion models for individual particles at the cell's scale. The very same techniques can be translated to animal movement/migration. I applied Bayesian inference for parameter estimation and model selection, with the aid of Filzbach, a tool developed in this MSR lab.
Project title: How do Cells Move? Motion Models and Parameter Estimation
- DTC 10-week project at the IMO - Moffitt Cancer Center, Tampa - Florida.
Ten weeks research project in the Mathematical Oncology department under the supervision of Dr. Alexander R. A. Anderson (PI, IMO co-director). I developed a model aimed at describing Fibroblasts-mediated drug resistance in metastatic Melanoma. Interactions between cancer cells and stroma cells are described in the form of a dynamical system, which explores the cancer cells activation of the stroma and the contribution of the latter in resistance to treatments. One of the exciting outcomes of this model will be its application to treatment dosing and schedule optimization, especially in combination theraphy.
Project title: Fibroblast-mediated Drug Resistance in Melanoma
- MSc research project at the IMO - Moffitt Cancer Center, Tampa - Florida.
Mathematical oncology research under the supervision of Dr. Alexander R. A. Anderson (PI, IMO co-director) for my Master's thesis. First as a visiting scholar, later as a Research Associate, I developed continuum and hybrid continuum- discrete models of tumor invasion. Implementing finite difference methods and cellular automata algorithms. The focus was on developing an individual based model exploring the plasticity of stem-like behavior of cancer cells, the role of the microenvironment and the feedback between the two.
Thesis: The Role of Intratumor Heterogeneity and Microenvironment Selection in Tumor Initiation and Progression.
- BSc research project at the Politecnico di Torino, in collaboration with Ospedale Mauriziano Umberto I, Torino - Italy.
Short rotation experience at the Cardiology Department, under the supervision of Dr. Guido Pagana (Department of Control and Computer Engineering - Politecnico di Torino), aimed at the development of time-frequency analysis techniques aiding the disease prognosis and treatment of patients affected by atrial fibrillation.
Thesis: Atrial Fibrillation Treatment by Time-Frequency Analysis of the Bipolar Cardiac Signal.
Class Tutor for:
B5.5 Further Mathematical Biology
Teaching Assistant for:
B11a: Communication Theory
B5.5 Mathematical Biology and Ecology