CV

Current Employment

2021-Present

Machine Learning Research Scientist; Optellum
Role: Research and development of deep learning solutions for lung cancer diagnostics. Responsibilities include:

• Researching current s.o.t.a in deep learning/computer vision techniques for training on small medical imaging datasets.
• Developing prototypes for lung cancer diagnostic prediction from images as well as multi-modal data.
• Developing NLP for clinical information extraction from radiology reports.
• Working with clinicians to create datasets for effective training and validation of ML models.
• Working with clinicians to validate ML models and publish results in international clinical conferencecs.

Education

2016-2021

PhD, Computer Science; Imperial College London
Thesis title: Deep Learning Methods for Generating Semantically Enriched Diagnostics for Radiological Images.

2014-2016

MRes, Medical Technology Entrepreneurship; University College London
Thesis title: Implantable Electrode Stimulator for use in Epidural Spinal Cord Stimulation

2010-2014

MEng, Electronic and Electrical Engineering; University College London
Nanotechnology specialisation, Masters thesis: Optimal Control by Gradient Ascent Pulse Sequence Engineering for use in Quantum Computing.

Work experience

2018-2019

Data Science Intern, Cyber Security ML; G-Research
Role: Research and development of deep learning solutions for automated detection of security threats.

Summer 2013

Web Application Developer Intern; HP-Autonomy
Role: Development of web application for Aurasma Studio.

Summer 2012

Software Developer Intern; Photon Design
Role: Designing and programming additions to a photon integrated circuit simulation software package using C++.

Summer 2009

Software Developer Intern; Royal Berkshire Hospital
Role: Designing and creating a website that allowed staff to keep up to date on their medical device training.

Publications

Automated Knee X-ray Report Generation

Gasimova, A., Montana, G., Rueckert, D. (2017). "Automated Knee X-ray Report Generation." NeurIPS ML4H.

Automated Enriched Medical Concept Generation for Chest X-ray Images.

Gasimova, A., 2019. "Automated enriched medical concept generation for chest X-ray images." In Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support (pp. 83-92). Springer, Cham.

Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation

Gasimova, A., Seegoolam, G., Chen, L., Bentley, P. and Rueckert, D., 2020, October. "Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation." In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 333-342). Springer, Cham.

Identifying Patients With Pulmonary Nodules From CT Radiology Reports Using Natural Language Processing (NLP)

Dotson T.L., Gasimova A., Watkins J., Chometon Q., Bellinger C.R., (2023). "Identifying Patients With Pulmonary Nodules From CT Radiology Reports Using Natural Language Processing (NLP)." ATS.

Machine learning model for predicting lung cancer recurrence after surgical treatment: A retrospective study using NLST and European hospital data

Valter A., Kordemets T., Gasimova A., Waterfield Price N., Freitag L., Vanakesa T., Almre I., Oselin K. (2023). "Machine learning model for predicting lung cancer recurrence after surgical treatment: A retrospective study using NLST and European hospital data." ESMO.

Imaging AI prognosis of early stage lung cancer using CT radiomics.

Valter A., Kordemets T., Gasimova A., Heames B., Waterfield Price N., Hodgkinson G., Vanakesa T., Almre I., Freitag L., Carbone D., Oselin K. (2024). "Imaging AI prognosis of early stage lung cancer using CT radiomics." ESMO.

Personal Projects

• RecapBot Implemented summarisation of chat-room messages as part of a chat bot. The bot won ‘Best use of Cisco Spark API’ at TechCrunch Disrupt London 2016.

• Cattche Acted as CTO of Cattche - an iOS recommendation mobile app coded in Swift on Xcode.

• FilmPicker A web application built using Flask for storing and choosing films you’d like to watch.

Skills

• Pytorch
• Deep Learning
  • Image Modelling
  • Image Captioning
  • Large Language Modelling
  • NLP, image processing
• Deep Learning for Medical Imaging
  • Lung CT
  • Brain MRI/DWI
  • Chest X-rays
  • Radiological report modelling