Parkinson’s Disease Research @ RSI

Analyzed Parkinson’s single-nucleus RNA sequencing data for biological insight; designed pipelines for cell type annotation, differential gene expression, gene set enrichment analysis; identified dysregulated genes and biological pathways underlying Parkinson’s disease such as the AQP4 gene; mentored by Dr. Sumaiya Nazeen from Harvard Medical School.

Paper @ RSI (MIT) (unpublished research presentation)

MedSeek App Development

Developed a mobile app to make medical information (physician names, hospital contacts, location, etc) accessible to all for patients seeking cross-border healthcare; developed with .NET MAUI using MVVM architecture to enable cross-platform compatibility; integrated OpenAI API to deliver personalized healthcare info and multilingual support via a custom translation tool; authored a research paper analyzing app user data for demographic patterns, regional preferences, and symptom trends. 

Paper @ NHSJS App Store Google Play (3500+ downloads)

PoseTrack App Development

Developed a posture-monitoring system to address chronic back pains and promote healthier habits by detecting poor posture and providing real-time warnings. Integrated Raspberry Pi camera for media input, developed a posture analysis engine in Python by analyzing MediaPipe Pose Landmarks, and used a Flask server to transmit analysis results to a Dart-based app via HTTP requests.

Paper @ Cornell ArXiv App Store

Recommendation System for Parkinson’s Rehabilitation

Developed a recommendation system to support Parkinson’s patient rehabilitation by integrating patient history and lifestyle data with environmental factors (air pollution, humidity, temperature) to provide personalized health advice; used OpenWeather API and Google Earth Engine to collect environmental indices (NDVI, NDWI, NDBI, air quality, geomagnetic stability, etc); Designed a rule based engine to interpret environmental data and incorporated Gemini AI to convert suggestions into plain language daily lifestyle recommendations. 

Code @ Harvard DataVerse Paper @ UW Libraries