CV
Education
- Ph.D in Deep Learning Methods for Affect and Schizophrenia Symptom Estimation, Queen Mary University of London, 2023
- M.Sc Computer Science, Queen Mary University of London, 2018 Distinction
- B.S. Economics (Hons), Queen Mary University of London, 2012
Research experience
- Feb 2024 - Current: Postdoc Researcher
- SnT, University of Luxembourg
Work experience
- May 2019 - September 2019: Contractor Data Science/Machine Learning
- Ernst & Young, London
- Contract work for EY Brain as a Data Scientist/Machine Learning Engineer
- October 2018 - May 2019: Lead Data Scientist
- January 2017 - September 2018: Senior Data Scientist
- June 2016 - December 2016: Senior Analyst / Data Engineer
- Starcom (Publicis Media), London
- September 2014 - June 2015: Account Manager (Analytics)
- Mindshare Worldwide, London
- April 2013 - September 2014: Data Analyst
- Mindshare Worldwide, London
Teaching experience
- September 2022 - September 2024: Teaching Fellow
- Queen Mary University of London
- Provided module-specific teaching support for Machine Learning (ECS708)
- Supervised 8 MSc students for their final projects.
- Provided advising support.
- September 2019 - September 2022: Senior Demonstrator
- Queen Mary University of London
- Assisted students with coursework for the Machine Learning modules.
Skills
- Programming: python
- Frameworks: pytorch, faiss, numpy, pandas
- Cloud solutions: GCP
- Other: git, LaTeX, docker