Dr Athanasios (Thanos) Vlontzos

Dr Athanasios (Thanos) Vlontzos

Machine Learning / Artificial Intelligence Research Scientist

Spotify

Athanasios Vlontzos is a Research Scientist at Spotify working on the intersection of causal inference and machine learning. He holds a PhD from Imperial College London and the Biomedical Image Analysis (BioMedIA) group where he worked together with Prof. Daniel Rueckert and Dr Bernhard Kainz. His research interest involve: Causal Inference, Machine Learning, Macroeconomics, Computer Vision and their real-world applications

Experience

 
 
 
 
 
Spotify
Research Scientist
August 2022 – Present London,UK
Part of the Advanced Causal Inference Lab (ACI-Lab). Conducting research in causal inference and machine learning. Providing causal inference tools to stakeholders in company supporting major negotiations and decision making. Work was featured in StreamOn Keynote event of 2023
 
 
 
 
 
Apple
Machine Learning Research Scientist - Internship
August 2020 – December 2020 Cambridge, UK
Interactive Intelligence Team - worked on word sense disambiguation.
 
 
 
 
 
Zeit Medical
AI Research Consultant
October 2019 – August 2022 Palo Alto, CA, USA - Remote
Advisor to the CEO, Led team on machine learning research for identifying stroke events
 
 
 
 
 
NASA Frontier Development Lab
AI Research Scientist - Contractor
June 2019 – August 2019 Mountain View, CA, USA
AI Research Scientist developing solutions for enhance predictability of GNSS disturbances
 
 
 
 
 
Imperial College London
Teaching Scholar
October 2018 – June 2022 London, UK
Teaching Scholar for the Dept. of Computing. Responsible for course material creation, guest lecturing, lab demonstrations. Courses included Deep Learning, Computer Vision, NLP and others.
 
 
 
 
 
General Electric Healthcare
Computer Vision Researcher - Internship
March 2017 – October 2017 Buc, FR
Worked Interventional Radiology Applications - localization and classification of medical devices in X-Ray Fluroscopy
 
 
 
 
 
Imperial College London
Undergraduate Research Assistant
June 2016 – October 2016 London, UK
Machine Learning Undergraduate Researcher with Prof. Erol Gelenbe - Led to 1 publication

Education

 
 
 
 
 
Imperial College
PhD in Machine Learning
October 2018 – September 2022 London,UK
Part of the Biomedical Imaging Analysis (BioMedIA) group. Advisors Prof. Daniel Rueckert and Dr Bernhard Kainz
 
 
 
 
 
Imperial College
Master’s in Engineering (MEng) included B.Eng in Electrical and Electronic Engineering
October 2014 – September 2018 London,UK
Degree Result, 1st Class
 
 
 
 
 
Imperial College
D2 Fellowship of the Higher Education Academy (FHEA)
October 2020 – September 2021 London,UK
As part of the Postgraduate Certificate in University Learning and Teaching

Contact

You can contact me in one of the social networks above