Dino Oglic is a Senior Director and the Head of Research at the Center for AI, within Data Sciences and AI, BioPharmaceuticals R&D, AstraZeneca Cambridge. Prior to joining AstraZeneca in 2020, he worked for eight years as a Research Scientist in machine learning and speech recognition (King’s College London, University of Nottingham, and University of Bonn). He obtained his doctorate (grade 1.0) in machine learning from the University of Bonn, with a thesis on constructive approximation and learning by kernel-based greedy algorithms. Prior to starting the doctorate, he spent almost five years in the industry working as a Software Developer and Lead Engineer. The results of his research have been published at leading conferences in machine learning and AI (NeurIPS and ICML). His research has been awarded with an Honorable Mention – Best Paper Award at ICML 2019, and more recently recognized with an Editors’ Highlight at Communications Chemistry. He acts as a PC member for top conferences in machine learning and AI (NeurIPS, ICML, UAI, ICLR), and has received the Best/Outstanding Reviewer Award seven times in the past five years (ICML and NeurIPS).

education

2013 - 2018
Doctor of Natural Sciences
Department of Informatics III, Faculty of Mathematics and Natural Sciences
Rheinische-Friedrich-Wilhelms-Universität Bonn, Germany
Thesis: Constructive Approximation and Learning by Greedy Algorithms
2008 - 2012
Magister Degree in Mathematical Sciences
Department of Mathematics, Faculty of Natural and Mathematical Sciences
University of Sarajevo, Bosnia and Herzegovina
GPA – 10/10, Summa Cum Laude
2003 - 2007
Diplom Degree in Mathematics and Theoretical Computer Science
Department of Mathematics, Faculty of Natural and Mathematical Sciences
University of Sarajevo, Bosnia and Herzegovina
GPA – 10/10, Summa Cum Laude

awards

2023
Editors' Highlights
Communications Chemistry
Editors' Highlights is a collection featuring some of the favourite articles published in the journal in 2023.
2019
The Best Paper Honorable Mention
International Conference on Machine Learning (ICML), CORE Rank: A*
Awarded to the top 10 papers out of 3424 submissions
2019-2021
Top 5% Reviewer Award
International Conference on Machine Learning (ICML), CORE Rank: A*
Awarded to the top 5% reviewers
2017 & 2019
Top Reviewer Award
Advances in Neural Information Processing Systems (NeurIPS), CORE Rank: A*
Awarded to the top 400 highest scoring reviewers
2016
Outstanding Reviewer Award
Advances in Neural Information Processing Systems (NeurIPS), CORE Rank: A*
Awarded to the top 17 reviewers
2008
Valedictorian & Golden Badge Award
University of Sarajevo, Bosnia and Herzegovina
Awarded to the student with the highest ranking in the graduating class
2003
Valedictorian
Sarajevo College, Bosnia and Herzegovina
Awarded to the student with the highest ranking in the graduating class

service

Reviewer / Program Committee Member
2015 - Present
Advances in Neural Information Processing Systems (NeurIPS), CORE Rank: A*
2018 - Present
International Conference on Machine Learning (ICML), CORE Rank: A*
2019 - Present
Conference on Uncertainty in Artificial Intelligence (UAI), CORE Rank: A*
2019 - Present
International Conference on Learning Representations (ICLR)
2020 - 2021
AAAI Conference on Artificial Intelligence (AAAI), CORE Rank: A*
2019 - 2022
Int. Conference on Artificial Intelligence and Statistics (AISTATS), CORE Rank: A
2018 & 2019
International Joint Conference on Artificial Intelligence (IJCAI), CORE Rank: A*
2016 - 2020
Journal Track of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)
2016 - 2022
Machine Learning (MLJ)

Reviewer / Peer Review College Member
2021 - Present
Engineering and Physical Sciences Research Council (EPSRC)