About
Applied AI/ML in Healthcare
Now: Using AI/ML and real-world data (RWD) to address challenges and opportunities in healthcare, such as faster detection of rare and under-treated diseases.
Past: Neuroscientist investigating early brain development and novel brain cancer therapies. Tech Transfer fellow and non-profit engagement manager helping to bring novel medical technologies to market.
Healthcare AI & Real-World Data
I’m passionate about improving our healthcare system by developing innovative AI solutions that benefit patients. I have experience applying AI/ML to multiple clinical domains, including metabolic, auto-immune, neurological, respiratory, and under-diagnosed diseases. Areas of focus include:
- Machine learning for rare disease detection using longitudinal prescription and medical claims data
- Clinical data interoperability using SNOMED CT, ICD-9/10 and other clinical ontologies
- Real-world evidence generation for precision medicine and disease progression prediction
Featured work:
- Identifying and characterising asthma subgroups at high risk of severe exacerbations using machine learning and longitudinal real-world data, BMJ Health and Care Informatics, 2025
- Machine learning using longitudinal prescription and medical claims for the detection of nonalcoholic steatohepatitis (NASH), BMJ Health and Care Informatics, 2022
Neuroscience Research
As a neuroscientist, I’m interested in how abnormal brain development might make us susceptible to neurological diseases and how we can use this knowledge to find promising new therapies. Areas of focus include:
- Early life experience and myelin development - investigated how early life experience affects myelin maturation in the developing brain and the important role of early life social and auditory experience in healthy brain function.
- Brain cancer biology - investigated strategies to target cancer stem cells to arrest the growth of primary brain tumors, including metabolic and epigenetics pathways prevalent in tumor cells.
Featured Review Articles:
- Myelin development, plasticity, and pathology in the auditory system, Developmental Neurobiology, 2018
- Dynamic Regulation of Myelination in Health and Disease, JAMA Psychiatry, 2014
- To learn is to myelinate, Science, 2014
Tech Commercialization
Bringing promising new technologies from lab to market is critical for real-world impact. My experience bridging this divide includes:
- Technology Transfer - As a fellow at the University of Michigan’s Tech Transfer Office, I assessed the clinical potential and commercial viability of new medical inventions, including diagnostic algorithms, medical devices, novel therapeutics (biologics/small molecules), and digital health solutions
- Strategic Consulting - Served as engagement manager for early-stage biotech companies and business growth accelerators, conducting healthcare market assessments, customer segmentation analysis, and competitive landscape evaluations
- Innovation Development - Technical co-author and co-inventor on patents for AI/ML applications in healthcare (one granted, one pending)
Featured:
- Automated clinical concept mapping using SNOMED, US Patent 11960456
- Unbiased ETL system for timed medical event prediction, US Patent Application 20210090745