Hi there! Nice to meet you! My name is

Alex

I'm a

About Me

Hi there! My name is Alex Bogatu. I am a passionate data and AI researcher experienced in both academic and professional (or applied) AI research. I have a background of over 10 years in systems and software engineering, AI, databases and information technology management. I occasionally co-supervise Master/PhD students and sometimes write in scientific papers or blogs about my research endeavors.

  • Name: Alex Teodor Bogatu
  • Date of birth: 24th April, 1989
  • Address: Between UK and Romania
  • Email: alex.bogatu89@yahoo.com
  • LinkedIn: linkedin.com/in/alex-bogatu/
  • GitHub: github.com/alex-bogatu

Resume

My Background

Education

2015-2019

PhD in Data Management

University of Manchester, UK

PhD thesis on automating data discovery and format transformations using machine learning and synthesis programming algorithms.

2013-2015

Master's Degree in Information Technology Management

Politehnica University of Bucharest, Romania

Studying several fields, such as information security, IT project management, data mining and business finance.

2008-2012

Bachelor's Degree in Computer Science

Military Technical Academy, Romania

Focused on computer science in general and software engineering in particular.

Work Experience

2019-present

Research AI Engineer

Peak AI & The University of Manchester UK

Knowledge Transfer Partnership (KTP) research associate at Peak AI working on:

  • Data deduplication using deep learning architectures and active learning
  • Data cataloging and search using machine learning algorithms
  • Open source policies for publishing data science solutions

2015-2019

PhD Researcher

University of Manchester, UK

Member of the VADA team building Value Added Data Systems, which support users in discovering, integrating and interpreting the data of relevance to their questions.

Made Python-based data discovery and Java-based synthesis programming contributions to The Data Value Factory's Data Preparer.

2015-2019

Teaching Assistant

University of Manchester, UK

Assist and support undergraduate and postgraduate practical laboratories for courses focused on Web data management, Java programming and Databases.

2014-2015

CRM Application Administrator

Orange Romania

I built my Python and Java knowledge here and I tasted the awesomeness of DevOps engineering.

2012-2014

Systems Engineer

Telekom Romania

Hardcore Linux system administration, challenging projects and great people who continue to inspire me today.

Skills

My work and research experience equiped me with technical aptitudes in the following areas:


Specialized in

AI applications in Data Management

Representation learning

Data Cataloging & Search

Data Wrangling

Knowledgeable about

Natural Language Inference

Attention-based neural architectures

Software Engineering for Data Science

Coding

Python for data science

Python for deep learning with PyTorch

Java

Research

Research

Research Vision

To contribute to the development of the next generation data management systems by operating at the intersection of relational data management and deep learning algorithms. Current research investigates how different neural architectures can be leveraged to capture relational data semantics and to facilitate various data management tasks.

Current research interests

Representation learning

Transformer neural architectures

Neural language inference

Aspiring research interests

AI applications in healthcare and business

Explainable AI

Publications

European Semantic Web Conference ESWC 2021

Natural Language Inference over Tables: Enabling Explainable Data Exploration on Data Lakes

MAR Orihuela, A. Bogatu, NW. Paton, A. Freitas
International Conference on Data Engineering ICDE 2021

Cost-effective Variational Active Entity Resolution

A. Bogatu, NW. Paton, M. Douthwaite, S. Davie, A. Freitas
International Conference on Data Engineering ICDE 2020

Dataset discovery in data lakes

A. Bogatu, AAA. Fernandes, NW. Paton, N. Konstantinou
Journal of Big Data 2019

VADA: an architecture for end user informed data preparation

N. Konstantinou, E. Abel, L. Bellomarini, A. Bogatu, C. Civili, E. Irfanie, M. Koehler, L. Mazilu, E. Sallinger, AAA. Fernandes, G. Gottlob, J. Keane, NW. Paton
The Computer Journal 2019

Towards automatic data format transformations: data wrangling at scale

A. Bogatu, NW. Paton, AAA. Fernandes, M. Koehler
IEEE Transactions on Big Data 2019

Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling

M. Koehler, E. Abel, A. Bogatu, C. Civili, L. Mazilu, N. Konstantinou, AAA. Fernandes, J. Keane, L. Libkin, NW. Paton
International Conference on Extending Database Technology EDBT 2019

SynthEdit: Format transformations by example using edit operations

A. Bogatu, AAA. Fernandes, NW. Paton, N. Konstantinou
IEEE International Conference on Big Data 2017

Data context informed data wrangling

M. Koehler, A. Bogatu, C. Civili, N. Konstantinou, E. Abel, AAA. Fernandes, J. Keane, L. Libkin, NW. Paton
British International Conference on Databases BICOD 2017

Towards automatic data format transformations: data wrangling at scale - Best paper award

A. Bogatu, NW. Paton, AAA. Fernandes

Blogs

Blogs

I sometimes share my ideas on public blogging channels, such as Medium. I try to reference here the ones that I think made a difference.

I am always open to new opportunities

If you think I can be useful to your team or project use the information below to contact me.

Contact

Contact Me