Publications

Digital Health

  • A Multi-Agent Dual Dialogue System to Support Mental Health Care Providers
    OP Kampman, YS Phang, S Han, M Xing, X Hong, H Hoosainsah, C Tan, GI Winata, S Wang, C Heaukulani, JH Weng, RJT Morris
    [arxiv preprint (Nov 2024)]
  • Predicting adverse events in schizophrenia using digital phenotyping and machine learning: results from the HOPE-S observational study
    C Heaukulani*, A Sim*, Z. Yang, T Buddhika, NAA Rashid, X Wang, F Ping, R Verghese, JH Yip, X Zhang, S Zheng, YF Quek, S Basu, KW Lee, C Tang, S Verma, RJT Morris, J Lee
    [preprint (Sep 2024)]
    *joint first authorship
  • Deploying AI Methods for Mental Health in Singapore: From Mental Wellness to Serious Mental Health Conditions
    C Heaukulani, YS Phang, JH Weng, J Lee, and RJT Morris
    AAAI 2024 Machine Learning for Cognitive and Mental Health Workshop. Feb 2024.
    [paper]
  • Utility of wrist wearable and smartphone-based digital phenotyping in psychosis
    Z Yang*, C Heaukulani*, A Sim, T Buddhika, NAA Rashid, X Wang, S Zheng, YF Quek, S Basu, KW Lee, C Tang, S Verma, RJT Morris, J Lee
    To appear, JMIR mHealth and uHealth, 2025.
    *joint first authorship
  • Examining a Brief Web and Longitudinal App-Based Intervention (Wysa) for Mental Health Support in Singapore during the COVID-19 Pandemic: Mixed-Methods Retrospective Observational Study
    C Sinha, D Dinesh, C Heaukulani, and YS Phang
    To appear, Frontiers in Digital Health, 2025
  • Characteristics and Outcomes of mHealth Interventions in Psychosis: Systematic Mapping Review
    PY Loh, L Martinengo, C Heaukulani, XY Tan, M Hng, YY Cheah, RJT Morris, LT Car, and J Lee
    To appear, JMIR, 2025
    [preprint]
  • User perceptions and utilisation of features of an AI-enabled workplace digital mental wellness platform 'mindline at work'
    S Yoon, H Goh, XC Low, JH Weng, and C Heaukulani
    BMJ Health & Care Informatics, 31(1). Aug 2024.
    [paper]
  • Perceptions of a Digital Mental Health Platform Among Participants With Depressive Disorder, Anxiety Disorder, and Other Clinically Diagnosed Mental Disorders in Singapore: Usability and Acceptability Study
    YS Phang, C Heaukulani, W Martanto, RJT Morris, MM Tong, and R Ho
    JMIR Human Factors, 10, e42167. Mar 2023.
    [paper]
  • Mental Wellness Self-care in Singapore with mindline.sg: A Framework for the Development of a Digital Mental Health Platform for Behaviour Change
    JH Weng JH, Y Hu, C Heaukulani, C Tan, JK Chang, YS Phang, P Rajendram, WM Tan, WC Loke, and RJT Morris
    JMIR, 26:e44443. Apr 2024. (First appeared Dec 2021.)
    [paper]
  • Evaluating the utility of digital phenotyping to predict health outcomes in schizophrenia: protocol for the HOPE-S observational study
    NAA Rashid, W Martanto, Z Yang, X Wang, C Heaukulani, N Vouk, T Buddhika, Y Wei, W Verma, C Tang, RJT Morris, and J Lee
    BMJ open, 11(10), e046552. Oct 2021.
    [paper]
  • Association between wrist wearable digital markers and clinical status in Schizophrenia
    W Martanto, Y Koh, Z Yang, C Heaukulani, X Wang, NAA Rashid, A Sim, S Zheng, C Tang, S Verma, RJT Morris, and J Lee
    General Hospital Psychiatry (Letter to the Editor), Vol. 70, 134-136, 2021.
    [paper]
  • HOPES -- An integrative digital phenotyping platform for data collection, monitoring and machine learning
    X Wang, N Vouk, C Heaukulani, T Bhuddika, W Martanto, J Lee, and RJT Morris
    Journal of Medical Internet Research, 23(3), e23984. Mar 2021.
    [paper]

Machine Learning

  • Modelling financial volume curves with hierarchical Poisson processes
    C. Heaukulani, Abhinav Pandey, and Lancelot F. James
    ArXiv preprint: arXiv:2406.19402, June 2024.
    [paper]
  • Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
    C. Heaukulani and Mark van der Wilk
    NeurIPS, 2019.
    [paper] [code]
  • Variational inference for neural network matrix factorization and its application to stochastic blockmodeling
    Onno Kampman and C. Heaukulani
    ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data
    [paper] [code]
  • Bayesian inference on random simple graphs with power law degree distributions
    Juho Lee, C. Heaukulani, Zoubin Ghahramani, Lancelot F. James, and Seungjin Choi
    ICML, 2017.
    [paper] [code]
  • Generalized IBPs, random multisets, and tree-structured feature allocations
    PhD Thesis. University of Cambridge, Sept. 2016.
    [pdf]
  • Black-box constructions for exchangeable sequences of random multisets
    C. Heaukulani and Daniel M. Roy
    ArXiv, 2019.
    [paper]
  • Gibbs-type Indian buffet processes
    C. Heaukulani and Daniel M. Roy
    Bayesian Analysis, Vol. 15, No. 3, 683--710, 2020.
    [paper]
  • Beta diffusion trees and hierarchical feature allocations
    C. Heaukulani, David A. Knowles, and Zoubin Ghahramani
    ICML, 2014.
    Extended version: [paper]
  • The combinatorial structure of beta negative binomial processes
    C. Heaukulani and Daniel M. Roy
    Bernoulli, Vol. 22, No. 4, 2301--2324, 2016.
    [paper]
  • Dynamic probabilistic models for latent feature propagation in social networks
    C. Heaukulani and Zoubin Ghahramani
    ICML, 2013.
    [paper]
  • Latent Dirichlet reallocation for term swapping
    C. Heaukulani, J. Le Roux, and J. Hershey
    International Workshop on Statistical Machine Learning for Speech Processing (IWSML). March 2012.
    [paper]