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General Information
| Full Name | Sam Ingram |
| Location | Manchester, UK |
| Language | English |
Education
- 2020
PhD, Cancer Science
University of Manchester, Manchester, UK
- Computional modelling of DNA repair pathways
- 3D modelling of chromosome conformation
- Modelling of microscope for immunofluorescence experiments
- 2017
MSc, Clinical Science
University of Liverpool, Liverpool, UK
- Theory degree alongside the national clinical scientist training.
- 2014
MSc, Medical Radiation Physics
Swansea University, Swansea, UK
- 2013
BSc, Theoretical Physics
Swansea University, Swansea, UK
Experience
- 2021-now
Proton Clinical Scientist
The Christie NHS Foundation Trust, Manchester, UK
- 2021-now
Honorary Research Associate
University of Manchester, Manchester, UK
- 2021-now
Topol Digital Health Fellow
The Christie NHS Foundation Trust, Manchester, UK
- 2017-2021
Bank Clinical Scientist
The Christie NHS Foundation Trust, Manchester, UK
- 2017-2021
Researcher PhD Student
University of Manchester, Manchester, UK
- 2014-2017
Trainee Medical Physicist
The Christie NHS Foundation Trust, Manchester, UK
Open Source Projects
- 2022
PyFoci
- Computational visualising and evaluating of radiation-induced fluorescent foci with Python.
- 2021
G-NOME
- Dynamic inference of Hi-C data into 3D geometries.
- 2020
RipleyK
- Ripley K spatial statistics in python.
- 2020
eqfit
- Equation fitting automation made simple with python.
- 2019
RipleyK
- Python module descriptions captured as json files.
Honors and Awards
- 2018
- EPSRC Travel Award
- 2020
- PTCOG59 Travel Fellowship Award
- 2021
- Topol Digital Health Fellowship
- 2022
- Radiation Research Travel Award
Academic Interests
-
AI in Healthcare
- Safe translation of AI solutions into clinical practice
- AI dose calculation and optimisation of proton therapy
- Synthetic data creation
-
Computational Radiobiology
- DNA damage and repair modelling
- NTCP and TCP modelling.
Other Interests
- Hobbies: Web Design, Content Creation, Dog Walking.