Research Interests: 

• Causal Machine Learning: Development of algorithms for individualised treatment effects estimation.

• Machine/Deep Learning: Development of predictive algorithms for electronic health records and time-series.

• Optimisation: Development of algorithms to solve large-scale machine learning problems.

• Computer Vision and Pattern Recognition: Application to handwriting character recognition.

• Open and eager to work in new research areas related to Artificial Intelligence.

NOTE: I am eager to collaborate and/or advice students around above topics. Feel free to drop me an email.

Area Chair: NeurIPS 2023 Workshop AI4Science, ICML2024-AI4Science

Review Editor: Frontiers in Big Data and Frontiers in Artificial Intelligence

Reviewed/Reviewing for (check reviewer profile at web of science; reviewed 100+ papers and never delayed a single review)

Journals: Journal of Machine Learning Research; Machine Learning (Springer); International Journal of Machine Learning and Cybernetics (Springer); IEEE Transactions on Neural Networks and Learning Systems; IEEE Transactions on Knowledge and Data Engineering; Artificial Intelligence Review (Springer); Neural Processing Letters (Springer); Applied Intelligence; Applied Artificial Intelligence; IET Image Processing; Machine Learning with Applications; Computational Intelligence (Wiley); National Academy Science Letters (Springer); IEEE Journal of Biomedical and Health Informatics; Journal of Medical Internet Research (JMIR); JMIR Medical Informatics; JMIR Public Health and Surveillance; JMIR Artificial Intelligence; PLOS Digital Health; Frontiers in Cardiovascular Medicine; BioMed Research International; Expert Systems With Applications; Frontiers in Artificial Intelligence; Frontiers in Big Data; Web Intelligence; Multimedia Tools and Applications; International Journal of Production Research (Taylor & Francis); Applied Computing and Informatics (Emerald); PLOS One; Computers & Industrial Engineering (Elsevier); Supply Chain Analytics

Conferences: ICML; NeurIPS; AISTATS; ICLR; Machine Learning for Healthcare (MLHC); Machine Learning for Health (ML4H); CHIL 2024; NeurIPS 2022 Workshop SyntheticData4ML; NeurIPS 2022 Workshop Time Series for Healthcare; IEEE International Conference on Biomedical and Health Informatics (IEEE BHI), International Conference on Machine Learning Optimization and Data Science; Asian Conference on Machine Learning; IEEE International Conference on Machine Learning and Applications; and Symposium on Artificial Intelligence & Neuroscience

NOTE: I would be very happy to review manuscript around my research interests.