I hail from Jakarta, Indonesia. I received my PhD in Machine Learning from the Australian National University (ANU), Canberra, Australia in 2012. I earned BEng degree in Electrical and Electronics Engineering at Nanyang Technological University (NTU), Singapore. During PhD studies, I have several overseas research exposures, among others, at HIIT-Finland, Yahoo! Research-US, University of Alberta-Canada, Fraunhofer IAIS-Germany, and IST Austria. From 2012-2014, I was a Newton International Fellow of the Royal Society at Department of Engineering of University of Cambridge, a Junior Member of the Isaac Newton Institute for Mathematical Sciences, and a Junior Fellow of the Wolfson College. I joined University of Sussex as a Lecturer in February 2014. I am now a Professor of Machine Learning. I am currently a PI on 3 active EU grants: BayesianGDPR (ERC), TANGO (EU Horizon RIA), and Act.AI (ERC Proof of Concept).

Selected Distinctions

2026 European Innovation Council, Seal of Excellence
2023 European Research Council ERC Proof of Concept Grant
2023 Guarantor Researcher for BCAM Severo Ochoa Excellence Accreditation
2020 European Lab for Learning and Intelligent Systems (ELLIS) Scholar/Fellow
2019 European Research Council ERC Starting Grant
2012 Newton International Fellowship
2009 Microsoft Research Asia Fellowship

Selected Roles
*Action Editor*, 2022 - present Transactions on Machine Learning Research (TMLR).
*Associate Editor*, 2018 - present Frontiers in Big Data Journal (Machine Learning and Artificial Intelligence Section).
*Associate Editor*, 2016 - present IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Journal. TPAMI's 2021 impact factor is 24.31.

*Area Chair/Senior Area Chair*, NIPS/NeurIPS 2024, 2022, 2021, 2020, 2019, 2018, 2017, 2015, ICML 2024, 2023, 2021, AAAI 2023, 2022, 2021, 2020, AISTATS 2022, 2021, 2020, ICLR 2022, 2021. The NeurIPS/NIPS and ICML conferences are the two most prestigious and competitive meetings in Machine Learning worldwide, publishing cutting-edge research on all aspects of machine learning and in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics.

*Grant Reviewing*, Engineering and Physical Sciences Research Council (EPSRC), European Research Council (ERC), Medical Research Council (MRC), National Institute for Health and Care Research (NIHR), National Research Fund Luxembourg (FNR), Natural Sciences and Engineering Research Council of Canada (NSERC).

Pro-Bono AI Office Hour
I am offering an office hour to organisations who have questions on scientific and algorithmic aspects of machine learning but do not have in-house expertise. There will be no fee associated with office hours. I speak English and Indonesian. Please feel free to contact me.