Lam Shao Wei Sean

Adjunct Associate Professor


Asst Prof Sean Lam has a PhD and Master’s in Industrial and Systems Engineering, Operations and Business Analytics from the National University of Singapore. He is currently the Head of Data Science in the SingHealth Duke-NUS Academic Medical Centre, overseeing a team of data scientists for the enhancement of patient care and outcomes through health services research. Sean is also an Assistant Professor at the Signature Programme in Health Services and Systems Research, Duke-NUS. He has more than 20 international publications, and won numerous local and international awards.

Sean has contributed to the areas of data science and artificial intelligence research with particular applications in health services research, healthcare operations research, transportation, supply chain, energy and defence. Specific areas of interest in health services research include emergency medicine, prehospital emergency care, respiratory medicine, chronic kidney disease, diabetes, glaucoma, disease registries, data science infrastructure, diagnostic radiology, inpatient bed management, surgical and emergency department resource optimization and NLP for unstructured medical notes. His generic interest areas are in the resolution of epidemiological, quality/ service improvement and translational health services research problems leveraging on real-world data coupled with applied optimization and simulation techniques, statistical theory and machine learning (reinforcement and supervised/unsupervised learning).
  1. J Xie, GG Loke, M Sim, SW Lam (2022) The Analytics of Bed Shortages: Coherent Metric, Prediction, and Optimization. Operations Research.  
  2. Abdullah HR, SW Lam, Ang BY, Pourghaderi A, Nguyen FNHL, Matchar DB, Tan HK, Ong MEH. Resuming elective surgery after COVID-19: A simulation modelling framework for guiding the phased opening of operating rooms. Int J Med Inform. 2021 Dec 14;158:104665. doi: 10.1016/j.ijmedinf.2021.104665. Epub ahead of print. PMID: 34923449; PMCID: PMC8674476.
  3. EMP Fan, NHL Nguyen, SY Ang, F Aloweni, HQI Goh, LT Quek, TC Ayre, AR Pourghaderi, SW Lam, MEH Ong. Impact of COVID19 on acute isolation bed capacity and nursing workforce requirements: A retrospective review. Journal of Nursing Management (2021).
  4. Ansah JP, Matchar DB, SW Lam, Low JG, Pourghaderi AR, Siddiqui FJ, et al. (2021) The effectiveness of public health interventions against COVID-19: Lessons from the Singapore experience. PLoS ONE 16(3): e0248742.  
  5. Pourghaderi AR, Kogtikov N, Lees MH, Cai W, Pin Pek P, Fu Wah Ho A, Ming Ng W, Kwak J, Elgin White A, LS Lim S, SW Lam, MEH Ong. Maximum expected survival rate model for public access defibrillator placement. Resuscitation. 2021 Dec 6;170: 213-221. doi: 10.1016/j.resuscitation.2021.11.039. Epub ahead of print. PMID: 34883217.
  6. Sun X, Bee YM, SW Lam, Liu Z, Zhao W, Chia SY, Abdul Kadir H, Wu JT, Ang BY, Liu N, Lei Z, Xu Z, Zhao T, Hu G, Xie G. Effective Treatment Recommendations for Type 2 Diabetes Management Using Reinforcement Learning: Treatment Recommendation Model Development and Validation. J Med Internet Res. 2021 Jul 22;23(7):e27858. doi: 10.2196/27858. PMID: 34292166; PMCID: PMC8367185.
  7. SW Lam, CBL Ng, YY Ng, MEH Ong. Simulation-based Decision Support Framework for Dynamic Ambulance Redeployment in Singapore, Int J Med Inform, 106, pp. 37-47 (2017).
  8. SW Lam, Nguyen FN, Ng YY, Lee VP, Wong TH, Fook-Chong SM, Ong ME - Factors affecting the ambulance response times of trauma incidents in Singapore, Accident Analysis and Prevention, 82,pp 27-35 (2015)
  9. SW Lam, J Zhang, ZC Zhang, HC Oh, YY Ng, MEH Ong. Dynamic ambulance reallocation for the reduction of ambulance response times using system status management – American Journal of Emergency Medicine, 33(2), pp 159-166 (2014).
  10. SW Lam, TS Ng, M Sim, J Song. Multiple objectives satisficing under uncertainty. Operations Research, 61(1), pp. 214-227 (2013)