Heart Failure Prediction
Machine-learning models for heart-failure prediction on EHR data. Completed for CSE 6250 (Big Data for Health Informatics) at Georgia Tech.
- Python
- Spark
- Healthcare ML
Hi, my name is
Ansel Lim.
I work at the intersection of medicine and machine learning.
I'm a physician and PhD student researching computational genomics and infectious disease modeling at the NUS Saw Swee Hock School of Public Health. Alongside my doctoral work, I help build an AI- and blockchain-based electronic medical record platform at ROAX.
Learn more01. About Me
I have a non-traditional background at the intersection of medicine, computer science, and public health. Trained as a medical doctor at the National University of Singapore, I subsequently pursued formal training in data science, bioinformatics, and health informatics through multiple master's programmes at NUS and Georgia Tech, before starting my PhD in 2025.
My current research integrates pathogen whole-genome sequencing with epidemiological models of transmission — spanning phylodynamics, Bayesian inference for outbreak reconstruction, and machine learning for public health surveillance. I also practice part-time as a general practitioner in primary care.
Here are a few technologies I work with:
- Python
- R
- PyTorch
- Nextflow
- BEAST / IQ-TREE
- Bash & SQL
02. Where I've Worked
PhD Student @ NUS Saw Swee Hock School of Public Health
2025 — Present
- Doctoral research integrating pathogen whole-genome sequencing with epidemiological models of infectious disease transmission.
- Interests in phylodynamics, computational genomics, Bayesian inference for outbreak reconstruction, and ML for public health surveillance.
- Coursework in infectious disease modeling, advanced quantitative epidemiology, and public health research methods.
Clinical Advisor & Product Manager @ ROAX Pte Ltd
2025 — Present
- ROAX (Rod of Asclepius eXchange) is a blockchain-based EMR integrating generative AI for clinical and insurance workflows.
- Co-authored a workshop paper on AI-blockchain integration for health insurance claims verification (NeurIPS 2025 GenAI4Health).
- Drive product direction, contribute to decentralized health data exchange architecture, and provide clinical domain expertise.
- Participated in the NUS Medicine Digital Accelerator (Cohort 2025 Demo Day).
General Practitioner @ Part-time primary care
2022 — Present
- Fully registered medical practitioner with the Graduate Diploma in Family Medicine (GDFM).
- Holds Medisave accreditation, Lasting Power of Attorney (LPA) issuer certification, and telemedicine certification.
Teaching Assistant @ NUS School of Computing
2022 — 2024
- Part-time teaching support for graduate modules at NUS School of Computing.
- IT5005 Artificial Intelligence (two semesters).
- IT5004 Enterprise Systems Architecture Fundamentals (five semesters).
- IE5600 Applied Programming for Industrial Systems (two semesters).
Medical Officer / House Officer @ MOH Holdings
2019 — 2024
- Rotations in public health (biostatistics, surveillance, public health microbiology — including WGS implementation for national TB surveillance).
- Rotations in hospital medicine, anatomic pathology, emergency medicine, and general surgery.
03. Some Things I've Built
Projects pinned on my GitHub profile.
Speed Sign Classifier
Image classification for speed-sign recognition. CS5242 (Neural Networks and Deep Learning) project at NUS, co-authored with Kenneth Goh.
- Python
- PyTorch
- Computer Vision
Deep Q-Learning
Solving the Lunar Lander environment in OpenAI Gym with a deep Q-network and experience replay.
- Python
- PyTorch
- Reinforcement Learning
SPH6004 Team 4 Project
Group project for SPH6004 (Advanced Statistical Learning in Public Health) — applied machine learning on health data with a multi-disciplinary team.
- Jupyter
- Python
- ML
Varicella Serosurvey
Estimating the force of infection of varicella from simulated serosurvey data. Course project for SPH6102 at NUS Saw Swee Hock School of Public Health.
- Python
- Epidemiology
- Bayesian inference
Dengue Gaussian
Bayesian renewal-equation model of weekly dengue Rt in Singapore (2012–2022), decomposing log(Rt) into climate covariates and a Hilbert-space Gaussian-process residual to probe serotype-driven transmission dynamics.
- R
- Stan
- Bayesian GP
04. Publications
Full list available on Google Scholar and ORCID.
- Lim AYH, Ang MLT, Cho SSL, Ng DHL, Cutter J, Lin RTP. Implementation of national whole-genome sequencing of Mycobacterium tuberculosis, National Public Health Laboratory, Singapore, 2019–2022. Microb Genom. 2023 Nov;9(11):001139.
- Anthony LL, Goh K, Lim A. Streamlining Health Insurance Claims Verifications with AI-Blockchain Integration through AI+ ROAX (Rod of Asclepius eXchange). The Second Workshop on GenAI for Health: Potential, Trust, and Policy Compliance (NeurIPS 2025). Dec 2025.
- Yeong J, …, Lim AYH, et al. Prognostic value of CD8+PD-1+ immune infiltrates and PDCD1 gene expression in triple negative breast cancer. J Immunother Cancer. 2019 Feb 6;7(1):34.
05. What's Next?
Get In Touch
I'm always happy to chat about research, digital health, or collaboration. The fastest way to reach me is by email.
Say Hello