Research

My research focuses on biomarker discovery and early detection across neurodegenerative disease, liver disease, and pediatric critical care, using both computational and experimental approaches.

2025 – present

Sapru Lab — Pediatric critical care & subphenotypes

At the Sapru Lab, my work focuses on pediatric critical care and precision medicine, uncovering new signals, biomarkers, and patterns in inflammatory responses and subphenotypes.

I work with a range of omics data — including proteomics, transcriptomics, genomics, and metabolomics — and integrate these high-dimensional datasets with clinical outcomes to identify biologically meaningful patterns and help optimize patient treatment decisions. We work with multiple cohorts and collaborators, embodying a multi-faceted approach to study the complex interplay of inflammation and other biological pathways.

Within our dry lab team, I also mentor and lead undergraduate researchers, supporting them as they design projects, learn analysis workflows, and prepare for presentations. Make sure to look for our work at the American Thoracic Society (ATS) 2026 conference! We are also preparing to publish a parsimonious EHR model for classifying hyper- and hypo-inflammatory subphenotypes.

2024 – 2025

Zhou Lab — Liver disease biomarkers

In the Zhou Lab, I developed and applied machine learning models to analyze patient cell-free methylation and mass spectrometry data, aiming to discover new clinical biomarkers and diagnostic tools for liver disease.

I evaluated non-invasive diagnostic methods on a cohort of over 200 Hepatitis B (HBV) patients using regression and classification models, and explored predictive models for clinical parameters that are essential for liver disease diagnosis and detection.

2022 – 2024

Guo Lab — Alzheimer’s disease biomarkers

In the Guo Lab, I led a secondary analysis of biomarker and imaging data from more than 5,000 patients in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database to study disease progression and potential biomarkers.

Alongside my computational work, I carried out wet-lab experiments to investigate how cerebrospinal fluid influences amyloid beta aggregation and helped lead a sequencing team studying mutational effects on protein aggregation using deep mutagenesis and sequencing.

Laboratory skills

Across these projects, I built experience with a range of experimental and analytical techniques:

  • Liquid chromatography
  • Electron paramagnetic resonance (EPR)
  • Chemical and electrocompetent cell transformation
  • DNA and protein electrophoresis
  • PCR
  • Deep mutagenesis
  • Oxford Nanopore sequencing
  • Protein purification
  • Mass spectrometry