Abdelhamid Ezzerg

PhD Student at University College London - ex Applied Scientist

About

Abdelhamid Ezzerg

Welcome to my academic profile! I am currently a PhD student at University College London (UCL), where I began my doctoral journey in October 2024 under the supervision of Professors Jeremias Knoblauch and Ilija Bogunovic. My research focuses on modern Bayesian methods and their applications, an area I find both challenging and exciting. Prior to starting my PhD, I worked for six years as an Applied Scientist, where I gained valuable experience in Machine Learning projects involving Text-to-Speech synthesis (at Amazon) and information extraction from unstructured data (at Fimatix). Now, as I progress through my doctoral studies, I'm keen to deepen my understanding of Bayesian statistics and machine learning, aiming to contribute to both theoretical advancements and practical applications in the field.

Education

University College London (UCL)

Oct. 2022 - Present

PhD in Statistics

London, United Kingdom

  • Research focus: Exploring modern Generative Bayesian models and their applications, with emphasis on Bayesian Optimization.
  • Supervisors: Prof. Jeremias Knoblauch and Prof. Ilija Bogunovic

Ecole Centrale Paris (currently known as CentraleSupelec)

Sep. 2014 - Dec 2017

M.Sc in Applied Mathematics

Paris, France

  • Coursework: Probability, Statistics, Numerical Methods, Partial Differential Equations, Functional Analysis, Programming...

ENS Paris-Saclay: Ecole Normale Superieure Paris-Saclay

Sep. 2016 - Dec 2017

Research M.Sc in Applied Mathematics and Machine Learning (MVA)

Paris, France

  • Coursework: Deep learning, sparsity and compressed sensing, statistical learning, reinforcement learning...

University of Cambridge (Department of Engineering)

Oct. 2015 - Jun 2016

Erasmus exchange program

Cambridge, United Kingdom

  • Coursework: Software Engineering and Design, Computer and Network Systems, Signals and Systems, Thermodynamics...

Experience

Fimatix

Jan 2024 - Aug 2024

Data Scientist

London, United Kingdom

  • Extracting information from unstructured data.
  • Keywords: Deep Neural Networks, Natural Language Processing, Question Answering...

Amazon

Feb. 2018 - Jun. 2023

Applied Scientist

Cambridge, United Kingdom

  • Applying Machine Learning to Amazon's Alexa Text-to-Speech.
  • Keywords: Deep Neural Networks, Speech Synthesis, sequence-to-sequence modelling, Variational Auto-Encoders, Generative Adversarial Networks, Normalizing Flows...

AXA Data Innovation Lab (DIL)

May. 2017 - Oct. 2017

Intern Data Scientist

Paris, France

  • Implemented a graph-based model to detect insurance policy fraud.
  • Keywords: Graph-based models, Anomaly Detection, PageRank...

IBM

Oct. 2016 - Mar. 2017

Part-time Data Scientist

Paris, France

  • Worked in a two-student group to construct a Machine Learning model capable of detecting credit card fraud. The proposed model significantly outperformed a rule-based baseline.
  • Keywords: Credit Card Fraud Detection, Anomaly Detection, Boosting methods...

Publications

Curriculum Vitae

Download my full CV in PDF format:

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