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Golestan Karami

Golestan Karami

applied machine learning researcher

Healthcare

London, Greater London

Social

About Golestan Karami:

A highly skilled and dedicated Applied Machine Learning Researcher. Possessing a PhD in Neuroimaging and expertise in developing machine learning models using multi-modal data. 
Proficient in PyTorch, Tensorflow, Keras, scikit-learn and experienced in working with AWS sageMaker, Slurm, cloud computing.
Committed to advancing the field of Applied Machine Learning and healthcare research through the application of cutting- edge techniques and innovative methodologies. 
Seeking challenging opportunities to contribute my knowledge and skills towards impactful research and development in the field of Applied Machine Learning and its application in healthcare.

Experience

Applied Machine Learning Researcher | Genomics England | London, United Kingdom | October 2022-ongoing.

  1. Key responsibilities and achievements:
  • Developed automated pipelines and workflows for data preprocessing, feature engineering, and model training using AWS SageMaker
  • Fostered close collaborations with domain experts, data engineers, and developers to meet project goals.

Visiting Research Associate | King’s. College London| London, United Kingdom | September 2022 – ongoing

Project: Applied Machine learning methods to predict immunotherapy biomarkers using radio-genomics data of glioblastomas

Visiting Researcher | Leiden University Medical Centre | Leiden, Netherland |2020

Project: Design multi-task deep learning model in TensorFlow to predict survival time using multi-parametric MRI

Medical Physicist | Imam Reza Hospital | Kermanshah, Iran | 2011-2016 

Part-Lecturer and MRI educator | Kermanshah University of Medical Science | Kermanshah, Iran | 2011-2016 

Research Assistant | Research Center of Molecular and Cellular imaging | Tehran University of Medical Science, Iran | 2009-2011

Education

Ph.D. in Neuroimaging "Machine Learning-Based Approaches for Glioma Classification, Segmentation, and Survival Time Prediction | Institute for Advanced Biomedical Technologies, University degli Studi Gabriele d'Annunzio, Chieti, Italy | January 2022

Ph.D. Student in Applied Physics to Medicine and Biology | FFCLRP, Computer Science department, University of Sao Paulo, Brazil | Jun 2016 – September 2017

Project: Evaluation of hypoxia based on MRI analysis as a predictor of radiotherapy results for patients with glioblastoma

Master of Science in Medical Physics | Tehran University of Medical Sciences, Tehran, Iran | 2011

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