Research Output per year

## Personal profile

### Research interests

Enrico is a PhD student in mathematical biology with a background in stochastic modeling and complex networks. His main research is into the development of mathematical models for cell migration and collective behaviour.

He earned a BSc in mathematics at the University of Padua in Italy, where he studied probability theory and voter models. He then obtained a MSc degree in mathematics working on branching processes and complex networks as an Erasmus student based between Padua and Bristol. He moved to study mathematical biology at the University of Bath where he joined the Yates Group.

His main field of research deals with colonisation of the embryos by melanoblasts using agent-based stochastic models. In particular, he is interested in incorporating biological realism into individual-based stochastic models and the derivation of representative deterministic models.

In addition, he has always cultivated a passionate interest for decision making and collective movements in large groups of individuals, specifically in social or swarming insects as ants and locusts, which also forms part of the work he undertakes during his PhD.

### Education/Academic qualification

Mathematics, Master in Science, Università di Padova

3 Oct 2014 → 23 Sep 2016

Mathematics, Bachelor of Science, Università di Padova

2 Oct 2011 → 26 Sep 2014

### Keywords

- QC Physics
- Collective Behaviour
- Cell biology
- Cell migration
- QA76 Computer software
- Agent-based models
- Multi-scale analysis

## Fingerprint Dive into the research topics where Enrico Gavagnin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

- 6 Similar Profiles

Cell Migration
Mathematics

Agent-based Model
Mathematics

Stochastic Model
Mathematics

Mathematical Biology
Mathematics

Pair Correlation Function
Mathematics

Jump Process
Mathematics

Invasion
Mathematics

Cell Cycle
Mathematics

##
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.

## Research Output 2018 2018

2
Citations
(Scopus)

### Modeling persistence of motion in a crowded environment: The diffusive limit of excluding velocity-jump processes

Gavagnin, E. & Yates, C., 26 Mar 2018, In : Physical Review E. 97, 3, 032416.Research output: Contribution to journal › Article

Open Access

File

Jump Process

Persistence

Agent-based Model

Motion

Modeling

1
Citation
(Scopus)

### Pair correlation functions for identifying spatial correlation in discrete domains

Gavagnin, E., Owen, J. & Yates, C., 4 Jun 2018, In : Physical Review E. 97, 6, 062104.Research output: Contribution to journal › Article

Open Access

File

Pair Correlation Function

Spatial Correlation

Intuitive

Regular tessellation

Metric

1
Citation
(Scopus)

### Stochastic and Deterministic Modelling of Cell Migration

Gavagnin, E. & Yates, C., 19 Jul 2018,*Integrated Population Biology and Modeling.*Rao, A. S. R. & Srinivasa, R. C. R. (eds.). Elsevier, p. 37-91 55 p. (Handbook of Statistics ; vol. 39).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Cell Migration

Cell

Modeling

Agent-based Model

Continuum

### The invasion speed of cell migration models with realistic cell cycle time distributions

Gavagnin, E., Yates, C., Rogers, T., Mort, R. & Ford, M., 14 Sep 2018, In : Journal of Theoretical Biology.Research output: Contribution to journal › Article

Cell Migration

Invasion

Cell Cycle

cell movement

Cell Movement