Biography

Tianyu Cui is a research associate in machine learning at Imperial College London, and he is also a visiting researcher at The University of Manchester. He read his Ph.D. in Probabilistic Machine Learning and Machine Learning for Health (ML4H) at Aalto University, with Prof. Samuel Kaski and Prof. Pekka Marttinen. He earned his M.Sc. in Computational Statistics and Machine Learning from University College London and B.Sc. in Statistics from Xi’an Jiaotong University.

His research interests are in deep learning and Bayesian modelling, with a particular interest in probabilistic methods for biomedical applications, such as genetics and complex diseases. He has acted as a program committee member/reviewer for, e.g., AABI, AISTATS, ICML, and JMLR.

Selected Publications

Probabilistic Machine Learning:

1. Raj, V., Cui, T., Heinonen, M., and Marttinen, P. “Incorporating functional summary information in Bayesian neural networks using Dirichlet process likelihood approach.” 26th Conference on Artificial Intelligence and Statistics, AISTATS 2023.
2. Cui, T., Kumar, Y., Marttinen, P., and Kaski, S. “Deconfounded Representation Similarity for Comparison of Neural Networks.” 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Oral presentation
3. Cui, T., Havulinna, A., Marttinen, P., and Kaski, S. “Informative Bayesian Neural Network Priors for Weak Signals.” Bayesian Analysis, Bayesian Anal. 2022. Oral presentation at Joint Statistical Meetings (JSM 2022)
4. Cui, T., Marttinen, P., and Kaski, S. (2020). “Learning Global Pairwise Interactions with Bayesian Neural Networks.” 24th European Conference on Artificial Intelligence, ECAI 2020. Oral presentation

Applications:

1. Cui, T., El Mekkaoui, K., Havulinna, A., Marttinen, P., and Kaski, S. (2022). “Improving Neural Networks for Genotype-Phenotype Prediction Using Published Summary Statistics.” bioRxiv preprint.
2. Cui, T., El Mekkaoui, K., Reinvall, J., Havulinna, A., Marttinen, P., and Kaski, S. (2022). “Gene-Gene Interaction Detection with Deep Learning.” Communications Biology, Commun. Biol. 2022.
3. Cui, T., Caravelli, F., and Ududec, C. (2018). “Correlations and clustering in wholesale electricity markets.” Physica A: Statistical Mechanics and its Applications, Physica A. 2018.

Teaching

Teaching Assistant:

CS-E4820: Machine Learning: Advanced Probabilistic Methods (Aalto University; 2019, 2020, 2021, 2022)

Advisor:

Yunseon Lee (intern, 2022), Viktoriia Huryn (intern, 2021), Zhiheng Qian (M.Sc. thesis, 2021), Kha L. H. Nguyen (M.Sc. thesis, 2020), Alejandro Ponce de Leon Chavez (intern, 2020), Joona Marjakangas (B.Sc. thesis, 2019).

Contact

Email:
t.cui23@imperial.ac.uk