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John S. Y. Ho is an Associate Professor in the Department of Electrical and Computer Engineering at the National University of Singapore. His research focuses on developing wireless medical devices for real-time monitoring and intervention in treatment-resistant medical conditions. Notably, he has pioneered work on vagus nerve stimulation (VNS) for depression and digital therapeutics. Ho holds a PhD in electrical engineering from Stanford University, where he was a National Defense Science and Engineering Graduate Fellow. Professional accolades include the NRF Fellowship, NUS Young Investigator Award, and recognition on MIT TR35 and Forbes 30 Under 30 Asia lists. His interdisciplinary work bridges engineering and medicine, addressing gaps in mental health treatment through innovative technologies. Education: PhD in Electrical Engineering, Stanford University Research interests center on neurostimulation therapies, depression biomarkers, and clinical outcome measurement. Key projects include large-scale trials evaluating VNS efficacy and digital tools like CT-152 for treatment-resistant depression. His work emphasizes translational research to improve patient care and reduce treatment resistance. Publications highlight advancements in antidepressant pharmacology, metabolomics, and suicide risk assessment. Ho collaborates globally on initiatives like the RECOVER trial (VNS efficacy) and TX-YDSRN (adolescent mental health). Current efforts focus on deploying AI-driven tools for mental health monitoring and optimizing measurement-based care in primary settings. No specific grants or labs are explicitly mentioned in the text.

• Medical Devices
• Biomedical Engineering
• Wireless Healthcare Technology
• +4 more

CHIA Airu is a Senior Research Fellow at the Saw Swee Hock School of Public Health, National University of Singapore. Her research focuses on maternal nutrition, dietary patterns, metabolomics, and lifestyle behaviors, with a particular emphasis on systematic reviews and meta-analyses. She holds a PhD in Epidemiology and a BSc (Hons) in Life Sciences from NUS. Education: PhD (Epidemiology), National University of Singapore; BSc Hons (Life Sciences), National University of Singapore Her work examines how maternal dietary habits influence neonatal health and birth outcomes in multiethnic Asian populations. Recent studies include the GUSTO cohort study, linking maternal nutrition to neonatal adiposity, and a meta-analysis on dietary patterns and birth outcomes. She has contributed to media-discussed research on childhood lifestyle risks for pre-hypertension, involving over 500 Singaporean children. No scientific awards are explicitly mentioned in the text. Advising and grant details are not provided. She is affiliated with the Saw Swee Hock School of Public Health and collaborates on initiatives like the PANDA programme (Physical Activity and Nutrition Determinants in Asia).

• Maternal Nutrition and Health
• Dietary Patterns
• Metabolomics
• +3 more

ONG Choon Nam is a Professor at the Saw Swee Hock School of Public Health , National University of Singapore (NUS), and a Principal Investigator at the NUS Environmental Research Institute (NERI). With over 330 peer-reviewed publications and an h-index of 84, his work bridges Metabolomics , Biomarkers , and Environmental Health . B.Sc (1972), Nanyang University MSc (1974), University of London PhD (1977), University of Manchester His research focuses on metabolomics for environmental health assessments, biomarker discovery, and toxicology. He has pioneered studies on nanoparticle toxicity, dietary metabolites, and water quality, with contributions to NEWater and soya waste valorization . The 15 most recent articles highlight trends in toxicology , environmental health , and agricultural sustainability , with methods spanning mass spectrometry , metabolite profiling , and nanotoxicity studies. His work often integrates multi-omics and biomarker analysis across diverse species. Scientific Awards : AstraZeneca International Award (2002) Public Service Medal (2004) Outstanding Mentor Award (2016) Research Excellence Award (2008) Public Administration Medal (2016) ONG has served on international advisory panels for the WHO, CDC China, and the US National Research Council, while leading administrative roles at NUS, including Director of the Environmental Research Institute (2009–2018). His interdisciplinary collaborations span nano-toxicology , water quality , and dietary health effects .

• Metabolomics
• Biomarkers
• Environmental Health

Maria De Iorio is a Professor at the Yong Loo Lin School of Medicine and holds a joint appointment at the Faculty of Science , both at the National University of Singapore. Her work bridges statistics, epidemiology, and clinical sciences through advanced Bayesian modeling and computational methods. Key research areas: Statistics, Epidemiology, Genetics, Clinical sciences, Medical biochemistry Primary affiliations: Paediatrics department (YLLSoM) and interdisciplinary projects in Science faculty Recent publications focus on extreme value theory, digital numismatics, metabolomic simulations, and maternal-child health Her statistical innovations include: Repulsive mixture models for interpretable clustering Bayesian semi-parametric approaches for longitudinal studies Novel prior distributions for graphical models Application domains span: Pediatric oncology (ALL treatment response modeling) Metabolic syndrome analysis (obesity, diabetes, bone health) Digital humanities (coin distribution patterns, ceramic artifact analysis) Financial forecasting (discrete survival methods for invoice prediction)

• Statistics
• Epidemiology
• Genetics
• +7 more

Prof. Wang Yulan is a Professor of Metabolomics at the Lee Kong Chian School of Medicine (NTU) and Director of the Singapore Phenome Centre (SPC). She holds an honorary appointment at Imperial College London's School of Public Health. She earned her PhD in Physical Chemistry from the University of East Anglia (UK) in 1997. Her career includes postdoctoral research at the Institute of Food Research and John Innes Centre (UK), followed by roles at Imperial College London and the Chinese Academy of Sciences under the '1000 Talents Program.' Her research integrates NMR and LC-MS spectroscopy with computational modeling to study metabolic effects in infectious diseases and nutritional interventions. She leads the Singapore Phenome Centre, focusing on systems-level metabolic studies. Prof. Wang's work spans microbiome medicine, aging, and translational metabolomics applications. Education: PhD in Physical Chemistry, University of East Anglia, UK (1997) Research Interests: Metabolomics and systems biology approaches Microbiome-host interactions Metabolic biomarker discovery Applications in infectious diseases and public health Lab/Teams: Singapore Phenome Centre (SPC), collaborating with Dr. Low Yanwen Dorrain and international institutions.

• Metabolomics
• Microbiome Medicine
• Nutrition and Metabolism
• +7 more

Charumathi Sabanayagam is an Associate Professor at Duke-NUS Medical School and a Principal Investigator at the Singapore Eye Research Institute (SERI). She holds adjunct positions at the NUS Saw Swee Hock School of Public Health and serves in the Ophthalmology & Visual Sciences Academic Clinical Programme (EYE ACP). Her work bridges epidemiology, machine learning, and public health, focusing on chronic kidney disease (CKD) and age-related eye diseases. Education : MBBS (University of Madras, 1980-1985) MD (Microbiology, Tamilnadu Dr. M.G.R. Medical University, 1995-1998) M Med (PH) and PhD (Epidemiology and Biostatistics, National University of Singapore, 2005-2010) Her research explores ethnic differences in CKD and eye disease, machine learning for risk prediction, and global collaborations in meta-analysis. Recent work includes AI tools for CKD detection via retinal imaging and virtual clinical research training courses. She has secured multiple grants, including the NMRC HCSA and Duke-NUS KMRA. Selected scientific awards include the SERI Best Mentor Award (2015), SingHealth Publish Award (2020), SERI Long Service Award (2021), and being named a Stanford Top 2% Scientist (2021-2023). She has published over 300 peer-reviewed articles with an H-index of 75. Notable Grants : NMRC Transition Award (2012-2016) Duke-NUS Khoo Mentored Research Award (2015-2018) NMRC Health Service Research Clinician Scientist Award (2022-2025) Duke-NUS Eye-ACP Education Grant (2023-2024) Her media-covered innovations, including AI screening tools for CKD, have been highlighted in The Straits Times and CNA 938 FM . She actively mentors researchers and leads global meta-analysis projects.

• Epidemiology
• Chronic Kidney Disease (CKD)
• Age-Related Eye Diseases
• +4 more

Prof. LI Fong Yau, Sam is a Professor in the Department of Chemistry at the National University of Singapore (NUS), affiliated with the Faculty of Science. He holds a B.Sc., Ph.D., and D.Sc. from Imperial College London, UK. His research focuses on environmental science and technology, nanomaterials, metabolomics, and water treatment innovations. Key achievements include over 430 peer-reviewed publications (H-index 72), 20+ U.S. patents, and editorial roles in international journals. Research interests span environmental analysis, waste-to-energy systems, microbial fuel cells, and advanced materials for desalination. Notable contributions include chlorine-resistant membranes and metabolomic biomarker discovery. Awards include the NUS Outstanding Researcher Award (1999) and DuPont Accomplishment Award (1993). He teaches CM4242 Advanced Analytical Techniques and leads a research group with active projects in environmental sustainability and nanotechnology. Labs and facilities include state-of-the-art equipment for materials synthesis, environmental analysis, and metabolomics studies. Collaborations focus on industrial applications of sustainable technologies, with recent work emphasizing wastewater remediation and resource recovery from waste streams.

• Environmental Science
• Water Treatment Technologies
• Nanomaterials Analysis
• +7 more

Dr. Guan Xue Li is an Assistant Professor at the Lee Kong Chian School of Medicine, Nanyang Technological University (NTU), and recipient of the 2016 Nanyang Assistant Professorship. She holds a PhD from the National University of Singapore (2009) and has held postdoctoral positions at the University of Geneva and the Swiss Tropical and Public Health Institute (Swiss TPH). Her research focuses on lipidomics and systems biology of lipid metabolism in infectious diseases, particularly tuberculosis, parasitic infections, and metabolic disorders. She leads the Systems Biology of Lipid Metabolism in Human Health and Diseases Laboratory and collaborates with global academic and industry partners. Education: PhD in Biological Sciences, National University of Singapore (2009); Postdoctoral Training: Swiss TPH (2011–2016), SystemsX.ch Consortium (Switzerland). Research Interests: Pioneering lipidomics tools to study host-pathogen lipid interactions, identifying drug targets and biomarkers for infectious diseases, and exploring lipid roles in diabetes-tuberculosis comorbidity. Her lab integrates lipidomics with genomics, proteomics, and epidemiology to address antimicrobial resistance and metabolic disease linkages. Awards: 2016 Nanyang Assistant Professorship, MBC Paper of the Year 2009, and featured in MBoC's 20th Anniversary Favorites (2012). She secured the Ambizione Career Grant (Swiss NSF, 2011) and co-invented a patent on lipid-based diagnostic tools. Advising & Grants: Supervises students like Lee Li Xian Megan and leads projects funded by international grants. Collaborates with local healthcare groups and institutions such as Swiss TPH. Labs/Teams: Directs the Systems Biology of Lipid Metabolism Lab, focusing on translational research in lipid-driven disease mechanisms. The lab develops novel lipidomics tools and investigates microbial lipid pathways in pathogens like Mycobacterium tuberculosis.

• Lipidomics
• Systems Biology
• Infectious Diseases
• +5 more

Dr. SIM Xueling is an Assistant Professor at the Saw Swee Hock School of Public Health, National University of Singapore (NUS), with expertise in statistical genetics, pharmacogenomics, and biostatistics. She has held academic positions since 2015 and previously worked as a Research Fellow at the University of Michigan and Research Assistant at NUS. Doctor of Philosophy, NUS (2011) BSc. Hons. in Statistics, NUS (2005) Her research focuses on genetic determinants of metabolic diseases, including type 2 diabetes, obesity, and cardiometabolic traits, leveraging multi-ancestry genome-wide association studies (GWAS), proteomics, and multi-omics approaches. She co-authored numerous high-impact publications analyzing gene-environment interactions, polygenic risk scores, and biomarker discovery. Recent publications highlight trends in applying AI to medical imaging for diabetes stratification, exploring nuclear regulatory pathways in diabetes progression, and developing precision medicine frameworks like the PRECISE-SG100K genomic engine. Her work emphasizes population diversity in genetic studies to improve global health outcomes. Best Research Publication Award 2nd Annual Graduate Scientific Congress 2012 She has extensive teaching experience in epidemiological methods and genetics courses at NUS. Media outlets like ScienceDaily and BioSpectrum Asia have covered her research on diabetes-related genetic markers and cholesterol-lowering therapies.

• Statistical genetics
• Pharmacogenomics
• Biostatistics

Dr. Fan Qiao serves as an Associate Professor at Duke-NUS Medical School's Centre for Quantitative Medicine, where she leads genetic and genomic research on complex human traits with emphasis on ocular disorders, gene-environment interactions, and precision health analytics through high-dimensional data. Her academic foundation includes: PhD in Epidemiology from National University of Singapore Master of Science in Biostatistics from University of Minnesota Master of Science from Chinese Academy of Sciences Bachelor of Arts & Science from Sichuan University Her research integrates statistical genetics with clinical epidemiology to investigate genetic pleiotropy across health/behavioral traits and develop risk prediction models. Key methodologies include genome-wide association studies (GWAS), meta-analyses, and Mendelian randomization applied to refractive error, age-related macular degeneration, and glaucoma. Recent work extends to leadership genetics and complementary medicine trials. Publications from 2016-2023 reveal dominant themes in ophthalmic genetics (75% of output), methodological innovation in genetic analysis (15%), and cross-disciplinary applications (10%), with increasing focus on Asian population studies and metabolomics integration since 2020. She actively mentors third-year medical students in Duke-NUS's Scholarly Development Program and supervises PhD candidates in the Quantitative Biology and Medicine program, emphasizing statistical rigor in translational research. Based at the Centre for Quantitative Medicine, her work contributes to Duke-NUS's precision health initiatives through collaborative projects with SingHealth and international consortia.

• Genetic Epidemiology
• Genomics
• Ocular Disorders
• +5 more

Zhigang Yao is an Associate Professor in the Department of Statistics and Data Science at the National University of Singapore (NUS) with a courtesy joint appointment in the Department of Mathematics. He is a Faculty Affiliate of the Institute of Data Science at NUS and a member of the Center of Mathematical Sciences and Applications at Harvard University since 2022, where he collaborates with Shing-Tung Yau. His educational background includes a Ph.D. in Statistics from University of Pittsburgh (2011), advised by Bill Eddy and Leon Gleser. Prior to joining NUS as Assistant Professor (2014-2020), he was a post-doc researcher at EPFL with Victor Panaretos (2011-2014). Professor Yao's research centers on statistical inference for complex data, specifically the interaction between statistics and geometry. His theoretical work includes Principal Flows, Manifold Fitting, Principal Submanifolds, and Principal Boundary. Applied projects span MEG brain imaging, tomographic reconstruction, and UK Biobank analyses for metabolomic heterogeneity, pancreatic cancer risk, and RNA analysis. His recent publication trend shows increasing application of manifold fitting techniques to high-dimensional biological data, particularly through the integration of geometric approaches with statistical methodology for complex data structures. Scientific contributions include: Initiating the first Harvard Conference on Geometry and Statistics (2023) Co-organizing two Interaction of Statistics and Geometry conferences in Singapore Establishing international symposiums at BIMSA and SIMIS As an advisor, he mentors multiple PhD students including Yukun Lu, Runyu Lin, and Menghao Wu, with former student Jiaji Su now serving as a Research Fellow in his group. His Yao Group maintains active projects in both theoretical developments and practical applications, with significant implications for biomedical data analysis and healthcare outcomes. The group's computational work includes MFCGAN, scAMF, and CellScope tools, with extensive GitHub repositories supporting reproducibility of their manifold fitting methodologies applied to real-world datasets.

• Statistics
• Geometry
• Manifold Fitting
• +4 more

Assoc. Prof. Li Hoi Yeung is an Associate Professor and Director (Special Projects) at the School of Biological Sciences, Nanyang Technological University (NTU). His research spans biomedical sciences , molecular biology , and cancer biology , with a focus on drug discovery, cellular mechanisms, and genetic regulation. He has contributed to studies on Plasmodium invasion, cancer therapeutics, and AI-driven drug screening. His work integrates experimental and computational approaches, such as molecular docking, proteomics, and multi-omics analysis. Notable contributions include investigations into R-loop resolution in cancer, erythrocyte signaling in malaria, and phase separation in photosynthetic systems. His research also explores mechanobiology in stem cells and protein interactions in cellular processes. Key Themes: Cancer biology, infectious diseases, bioinformatics, cellular signaling, and drug discovery. Techniques: High-throughput screening, computational modeling (e.g., AlphaFold2), and multi-omics approaches. Prof. Li’s publications highlight interdisciplinary collaboration, particularly in bridging experimental biology with AI-driven methodologies to address complex biological questions. His lab actively develops tools for virtual drug screening and explores novel anti-cancer metabolites from natural products.

• Biomedical Sciences
• Molecular Biology
• Cancer Biology
• +3 more

Dr. Yeo Tianrong is Head & Senior Consultant of the Department of Neurology at the National Neuroscience Institute (NNI@TTSH) and Assistant Professor at Duke-NUS Medical School and Lee Kong Chian School of Medicine (NTU). He specializes in neuroimmunological diseases, focusing on biomarker discovery and clinical-translational research. His roles include Deputy Director of Clinical Research at NNI and Deputy Director of Brain Bank Singapore. Education: MBBS (NUS, 2007), MRCP (UK, 2011), MMED Internal Medicine (NUS, 2012), MCI (NUS, 2017), FAMS (Neurology, 2016), FRCP (Edin, 2022), DPhil (Oxford, 2020). Research Interests: Neuroimmunology, neuroinflammation, multi-omics approaches, and biomarker development for diseases like Multiple Sclerosis (MS), Neuromyelitis Optica Spectrum Disorders (NMOSD), and autoimmune encephalitis. Active in clinical trials, including the Neuroimmunology Longitudinal Singapore (NILONS) Study and gut microbiome-metabolome research in neuroinflammation. Awards: Recipient of NMRC Clinician Scientist Award (2025), Transition Award (2021), and multiple service/excellence awards. Recognized for clinical work, education, and research contributions. Advising & Grants: Leads the NNI Neuroimmunology-Neuroinflammation Programme and oversees clinical research training. Holder of NMRC-funded grants exploring MS cortical pathology and microbiome-neuroinflammation links. Labs/Teams: Core member of Brain Bank Singapore and involved in the NNI Tissue Bank Steering Committee, driving neuroimmunology research infrastructure.

• Neuroimmunology
• Neuroinflammation
• Biomarkers
• +4 more

Dr. ONG Twee Hee Rick is an Assistant Professor at the Saw Swee Hock School of Public Health , National University of Singapore. His research focuses on Molecular Epidemiology , Pathogen Genomics , and Bioinformatics , with applications in public health surveillance and infectious disease dynamics. Education : B.Eng (Computer Engineering, NUS 2001), MSc (Computer Science, NUS 2002), MSc (Bioinformatics, NTU 2008), PhD (NUS 2013) His work spans Antimicrobial Resistance mechanisms in tuberculosis, One Health transmission dynamics, and Genomic Surveillance systems development. Notable contributions include creating SpoTyping for Mycobacterium spoligotyping and analyzing resistance mutations in carbapenem-resistant Enterobacterales. Current research explores bacterial colonization patterns in clinical environments and transnational TB transmission networks. Dr. Ong's methodological expertise includes Whole Genome Sequence Analysis , Bioinformatics Pipeline Development , and Population Genetics modeling, with applications in Southeast Asian epidemiology. He bridges computational methods with public health policy through projects like the Singapore Tuberculosis Clinical Management Guidelines adaptation.

• Molecular Epidemiology
• Pathogen Genomics
• Bioinformatics
• +1 more

Dr. Matthew Andrew Ackers-Johnson is a Research Assistant Professor at the National University of Singapore, holding dual appointments in the Department of Medicine and Department of Physiology within the Yong Loo Lin School of Medicine. His research focuses on cardiovascular medicine, with particular expertise in cardiomyocyte biology, cardiac regeneration mechanisms, and molecular pathways of heart disease. He has established himself as a significant contributor to the field with numerous high-impact publications in leading journals including Nature Cardiovascular Research, Circulation, and Advanced Science. Dr. Ackers-Johnson's research spans several key areas of cardiovascular medicine: Cardiomyocyte dedifferentiation and regeneration mechanisms Non-coding RNA regulation in cardiac development and disease Cardiac fibrosis and pathological remodeling Metabolism and cardiovascular disease Single-cell approaches to understanding heart disease Atherosclerosis and vascular biology in Asian populations Analysis of his recent publications reveals a strong focus on molecular mechanisms of cardiac disease with increasing translational emphasis. His work has evolved from fundamental cardiomyocyte biology to include clinical and population-based approaches, particularly regarding cardiovascular disease in Asian populations. The integration of multi-omics technologies (proteomics, metabolomics, single-cell transcriptomics) with traditional molecular and cellular approaches characterizes his current research direction. His laboratory has developed innovative techniques for cardiomyocyte isolation and has made significant contributions to understanding circular RNA biology in cardiac contexts. Dr. Ackers-Johnson has been involved in significant collaborative projects including the PICMAN study, which examines the relationship between metabolic inflexibility and cardiovascular disease in Asian populations. His work on circular RNA therapeutics, cardiomyocyte-specific delivery systems, and novel biomarkers suggests potential future clinical applications for heart disease treatment and prevention.

• Cardiovascular medicine and haematology
• Clinical sciences
• Biochemistry and cell biology
• +5 more