Workshop on DS

Singapore Workshop on Data Science and Machine Learning in Healthcare and Medicine

The emergence of appropriate hardware, fast algorithms for big data and deep learning paradigm has accelerated the applications of machine learning in healthcare and medicine. With deep neural networks surpassing the performance of clinicians in some diagnosis cases, machine learning is positioned to have a major role in diagnostics, prognosis, and risk management, etc. Digital revolution in patient management is inevitable. The event  brings together researchers in data science and machine learning and clinicians to discuss cutting edge application research in medical world, with an emphasis on medical data integration and analyses,  auto-diagnosis and clinical patient care. Our unique mix of academia and practitioners enables the participants to meet with data science and machine learning at the forefront of research, as well as real-world case studies to discover the business value of data science and machine learning.

The program of the workshop includes both invited lectures and contributed talks. Topics of interest include:

  • Business intelligence
  • Clinical medicine
  • Clinical patient care
  • Crypto data and privacy
  • eHealth Records
  • Medical imaging and diagnostics
  • Personalised care and medicine
  • Risk management
  • Text analytics for drug safety and health data

The workshop will hold the first edition on 27 January 2023.


(Talk abstracts are available here)

Friday, 27 January 2023Auditorium, Institute for Mathematical Sciences, 3 Prince George’s Park, S’pore 118402

09:00 – 09:05Welcome Speech (video)
09:05 – 09:55
Chair: Vaibhav Rajan
Keynote Lecture
     Finale Doshi-Velez (Harvard University), Trustworthy RL for Healthcare (video)
09:55 – 10:15 Coffee break
10:15 – 11:05
Chair: Pavitra Krishnaswamy
Session 1: Clinical Patient Care
     Joyce Lim, Childhood diabetes on-track with data science and technology (video)
     Nan Liu, Interpretable machine learning-based scoring system for clinical decision making (video)
11:05 – 11:55
Chair: Charlene Liew
Session 2: Disease Management
     Han Leong Goh, Harnessing the power of AI to battle covid-19 and other public healthcare AI application examples (video)
     Pavitra Krishnaswamy, Big data and AI for adaptive and individualized management of cardiometabolic disease (video)
12:00 – 13:15 Lunch (provided)
13:15 – 14:30
Chair: Hwee Kuan Lee
Session 3: Clinical and Precision Medicine
     Neerja Karnani, Multi-dimensional data integration and analytics for precision health
     Vaibhav Rajan, Neural collective matrix factorization for integrated analysis of heterogeneous biomedical data (video)
     Jinmiao Chen, DeepST: A novel graph self-supervised contrastive learning method for spatially informed clustering,
                 integration, and deconvolution of spatial transcriptomics (video)
14:30 – 14:45 Coffee break
14:45 – 16:00
Chair: Louxin Zhang
Session 4: Image Analysis for Diagnosis and Data Privacy
     Hwee Kuan Lee, Advances and challenges of using AI in digital pathology (video)
     Jiang Liu, Intelligent ocular image processing – research update of iMED team 2022 (video)
     Chao Jin, Communication-efficient secure federated statistical tests for prs validation from multiparty homomorphic
                 encryption (video)

Key Dates

Registration opens Mon., Dec. 12, 2022
Registration ends Fri., Jan. 13, 2023 (closed due to the venue’s capacity)
Conference Fri., Jan. 27, 2023

Keynote Speaker


Organizing Committee

  • Jinmiao CHEN (Singapore Immunology Network, A*Star)
  • Sheng FU (KK Women’s and Children’s Hospital)
  • Xiaoli LI (Co-Chair) (Institute for Infocomm Research, A*Star)
  • Charlene Liew (Changi General Hospital)
  • Nan LIU (Duke-NUS Medical School)
  • Yong LIU (Institute of High Performance Computing)
  • Vaibhav RAJAN (National University of Singapore)
  • Rosa Qi Yue SO (Institute for Infocomm Research, A*Star)
  • Louxin ZHANG (Co-Chair) (National University of Singapore)

Photo Gallery

  • Opening Speech (1; 2)
  • Finale Doshi-Velez (1; 2; 3 )
  • Jin CHAO (1; 2)
  • Jinmiao CHEN (1; 2 )
  • Han Leong GOH (1; 2; 3)
  • Hwee Kuan LEE (1; 2)
  • Pavitra Krishnaswamy (1; 2; 3)
  • Joyce LIM Soo Ting (1; 2; 3)
  • Jiang LIU (1; 2)
  • Nan LIU (1; 2)
  • Vaibhav Rajan (1; 2)
  • Closing Remarks (1)
  • Participants (1; 2; 3 )


Please send all inquiries to:

Xiaoli Li (Institute for Infocomm Research, A*Star):
Louxin Zhang (Centre for Data Science and Machine Learning, National University of Singapore):