Dino Oglic joined AstraZeneca Cambridge as an AI Researcher in the Respiratory and Immunology machine learning group in November 2020. Prior to that, he worked for eight years as a Research Associate/Assistant 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 artificial intelligence (NeurIPS, ICML, AAAI). He acts as a PC member for top conferences in machine learning and AI (NeurIPS, ICML, UAI, ICLR, AISTATS, AAAI), and has received the Best/Top/Outstanding Reviewer Award four times in the past five years (ICML and NeurIPS). His research has also been awarded with an Honorable Mention – Best Paper Award at ICML 2019.


previous positions

2018 - Present
Research Associate
Department of Informatics/Engineering, King's College London, UK
2015 - 2018
Research Assistant
Department of Informatics, University of Nottingham, UK
2012 - 2015
Research Assistant
Department of Informatics III, University of Bonn, Germany

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

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
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*
2020 - Present
AAAI Conference on Artificial Intelligence (AAAI), CORE Rank: A*
2019 - Present
Int. Conference on Artificial Intelligence and Statistics (AISTATS), CORE Rank: A
2019 - Present
International Conference on Learning Representations (ICLR)
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 - Present
Machine Learning (MLJ)