Experience

Optellum

• United Kingdom
• Medical Equipment Manufacturing
• 1 - 100 Employee

• Machine Learning Researcher

  • Oct 2020 - Present

  Developing novel algorithms for early lung cancer interception and treatment. Developing novel algorithms for early lung cancer interception and treatment.



Imperial College London

• Research Services
• 700 & Above Employee

• Postgraduate Researcher - iBUG Group

  • May 2019 - Sep 2020

  Audio-visual Facial Expression and Emotion Recognition (FER) under the supervision of Prof. Maja Pantic and Dr. Stavros Petridis and in collaboration with the Samsung AI Center - Cambridge, UK. Developed a novel audio-visual FER dataset and predictive models for continuous dimensional FER. The main contributions were proposing multi-task learning frameworks and both temporal and visual self-attention yielding improved explainability and state-of-the-art performance. Audio-visual Facial Expression and Emotion Recognition (FER) under the supervision of Prof. Maja Pantic and Dr. Stavros Petridis and in collaboration with the Samsung AI Center - Cambridge, UK. Developed a novel audio-visual FER dataset and predictive models for continuous dimensional FER. The main contributions were proposing multi-task learning frameworks and both temporal and visual self-attention yielding improved explainability and state-of-the-art performance.



Optellum

• United Kingdom
• Medical Equipment Manufacturing
• 1 - 100 Employee

• Assistant Data Scientist

  • Apr 2020 - Jul 2020

  Working on machine learning based lung cancer risk assessment within the Data and Algorithms team. Working on machine learning based lung cancer risk assessment within the Data and Algorithms team.



University of Bristol

• United Kingdom
• Higher Education
• 700 & Above Employee

• Research Intern - Aeroacoustics

  • Jun 2017 - Sep 2017

  Performed field experiments and post-processed data to see effect of different noise-reducing mechanisms. Published and presented paper at AIAA 2018 conference in Atlanta, US. Performed field experiments and post-processed data to see effect of different noise-reducing mechanisms. Published and presented paper at AIAA 2018 conference in Atlanta, US.



University of Bristol

• United Kingdom
• Higher Education
• 700 & Above Employee

• Research Intern, Computational Micromechanics - ACCIS Department

  • Jun 2016 - Aug 2016

  Development of micro-scale finite element computational models of composite materials to study the effects of manufacturing defects such as voids, on mechanical properties. Presented findings at international workshop at Bristol University. Matlab, Python, ABAQUS Development of micro-scale finite element computational models of composite materials to study the effects of manufacturing defects such as voids, on mechanical properties. Presented findings at international workshop at Bristol University. Matlab, Python, ABAQUS