Data Scientist

• Jun 2020 - Present

Researcher

• Sep 2023 - Present

Research Fellow in Mathematical Cognition

• Feb 2019 - Jun 2020

I am applying AI strategies (e.g. deep supervised and unsupervised learning) in the field of Mathematical Cognition with the aim of simulating and understanding the learning processes and representations underlying mathematical reasoning. I am applying AI strategies (e.g. deep supervised and unsupervised learning) in the field of Mathematical Cognition with the aim of simulating and understanding the learning processes and representations underlying mathematical reasoning.

Data Science and Machine Learning Researcher

• May 2018 - Jun 2020

My current work focuses on the analysis of large Cancer Genetics datasets and the application of Machine Learning strategies for the identification of cancer drivers encompassing molecular mechanisms and diseases. My current work focuses on the analysis of large Cancer Genetics datasets and the application of Machine Learning strategies for the identification of cancer drivers encompassing molecular mechanisms and diseases.

Research Associate

• Jun 2010 - Apr 2018

• Developed new schemes to harvest solar energy inspired by natural photosynthesis. • Designed working proofs of concepts of these schemes based on DNA-nanotechnology. • Investigated the role of electronic defects in nanoscale devices and designed experiments whose results are in full agreement with the theory developed. • Proposed a protocol for the manipulation of semiconductor nanostructures with light for building applications relevant to quantum information processing. • Worked on Data science research projects for isaacphysics.org, a project and an educational platform funded by the Ministry of Education and aimed at enhancing problem solving skills in Physics, Mathematics and Chemistry. During my time at IsaacPhysics I designed machine learning models for predicting/understanding the learning paths followed by students and developed data visualisation tools showing the different levels of engagement of both teachers and students using the platform across UK. Show less

Data Science Consultant

• Oct 2017 - Dec 2017

As a member of the Consultancy Team at the ASI, I worked on projects aimed at delivering data science and machine learning solutions to companies. In particular, I applied the state of the art methods in the fields of supervised/unsupervised learning and natural language processing for the automatic modelling, classification and characterisation of topics from large amounts of text. As a member of the Consultancy Team at the ASI, I worked on projects aimed at delivering data science and machine learning solutions to companies. In particular, I applied the state of the art methods in the fields of supervised/unsupervised learning and natural language processing for the automatic modelling, classification and characterisation of topics from large amounts of text.

Data Science Fellow

• Feb 2015 - Apr 2015

Highly selective training program in Data Science, Machine learning and business skills. • Enhanced my data-science skill-set, learnt new tools, and developed business and communication skills. • Applied Machine Learning models such as neural networks, support vector machines and logistic regression to real world business problems using Python. • Worked as a consultant for the National Health Service, where I analysed data from the "GP Patient Survey", a survey which accesses patients' experience of healthcare services provided by GP surgeries. • Created heat-maps using Python: these heat-maps have been used to understand how diverse such experience can be across different regions in England, and also why it is so diverse. • Applied a strategy based on supervised learning algorithms, which has been used to identify the key factors driving the appreciation of patients towards particular NHS services including the out-of-hours service. Show less

Research Associate

• Feb 2007 - May 2010

• Developed an accurate theory for the propagation of light in semiconductor nanostructures. This theory has been successfully applied to design and build new proofs of concepts relevant to the field of Silicon Photonics. • Exciton-polaritons in one-dimensional Bragg gratings. • Nonlinear optical phenomena in systems characterised by spatial and temporal dispersions. • Developed an accurate theory for the propagation of light in semiconductor nanostructures. This theory has been successfully applied to design and build new proofs of concepts relevant to the field of Silicon Photonics. • Exciton-polaritons in one-dimensional Bragg gratings. • Nonlinear optical phenomena in systems characterised by spatial and temporal dispersions.