Dieter Galea
About
Dieter Galea is from London, England, United Kingdom. Dieter is currently Vice President, Data Science at BlackRock, located in London Area, United Kingdom. Dieter also works as VP, Data Science at Preqin, a job Dieter has held since Jan 2020. Another title Dieter currently holds is Machine Learning Engineer at Captify®.
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Dieter Galea's current jobs
Hands on end-to-end model development; AI integration feasibility and impact assessment; establishing data science and software development tools and best practices to wider engineering; managing a project establishing a technological framework for large scale data processing augmented with several AI components. This involves strategy, stakeholder management, KPI establishment, resource allocation, hiring, and leading the tech team of 15 with the actual solution development (backend developers, data engineers, analysts, data scientists, frontend developers).
Research to improve models for user conversion prediction as part of algorithmic trading for ads. From textual and non-textual feature engineering, to search/page view representation, data augmentation, model optimization, and new model architectures. NLP/ML involved: training, optimizing and evaluation short and long text embeddings, embeddings dimensionality reduction for useful visualizations, named entity recognition, classification, active learning for creating new datasets for human annotation
Senior facilitator in a European-wide event on innovation. Involved in running the event and facilitating teams with applying the Stanford’s design thinking model for development of innovative products. Guiding teams with the brainstorming of ideas, defining the problem, collecting user feedback and ultimately prototyping their solutions.
Facilitated a European-wide event on innovation. Guiding teams with the brainstorming of ideas, defining the problem, collecting user feedback and ultimately prototyping their solutions. One of the supervised groups finished as a runner-up.
Developed/maintained software for the analysis and preprocessing of mass spectrometric data. One of the main aims of the project was to develop computational engines for multivariate statistical analyses, putative annotation and de-novo identification of molecular species in high mass accuracy spectral studies acquired from clinical studies.
Analyzed patient samples for Fuchs' dystrophy and Keratoconus, and in-vitro cancer resistant to imatinib (chemotherapy).
Analyzed data and food samples for pathogenic contamination.
Developed PHP/MySQL system for computer repair, client registration and automatic SMS sender. Managed and designed company and client websites, and designed marketing material.
Freelance Adobe Flash (ActionScript 2.0/3.0), HTML/CSS developer.