Ronit G
- Research Program Mentor
MD candidate at Dartmouth College
Expertise
Public health, biotech, medicine, data science, statistics, public policy
Bio
Hello! My name is Ronit and I'm super excited to meet y'all. I'm currently an MD student at Dartmouth — before this I received my MS in biostatistics at Harvard and my BA in data science at Berkeley. My interests lie in the application of computational techniques towards global health and medicine, and the translational impacts on public policy and innovation. I have experience in these fields across academia and the private sector on a local and global scale. I've been teaching for a long time and am excited to continue mentoring students and their exciting projects. Outside of work, in my free time I like to hike, play tennis, go on runs, and explore the area I'm in. I also enjoy cooking, listening to music, finding new shows and movies, and teaching. I believe in making education and research more accessible and equitable and look forward to working with y'all!Project ideas
Trends in infectious disease incidence within the US over the past 10 years
We can obtain a dataset from a source such as the CDC and select a few diseases (e.g., COVID, influenza, etc.) to investigate trends across factors like socioeconomic status, geography, time, and more. Some potential outcomes include an abstract, paper, blog post, or dashboard.
A review of health policy affecting marginalized communities in the US in recent years
This can be a broad scope review of policies and public health/policy literature to elucidate trends and potential pivotal moments in the US that have particularly affected marginalized communities. Some potential outcomes include an abstract, paper, blog post, or dashboard.
Predicting hospital readmission rates among patients in Asia with multiple comorbidities
Using a publicly available dataset, we can examine factors that make patients more susceptible to hospital readmission and form predictions to inform physicians in their decision-making. Some potential outcomes include an abstract, paper, blog post, or dashboard.
Analyzing the effect of AI on interpreting labs/imaging in hospital settings
For folks interested in an innovation-focused project, we can study how new developments in AI within fields such as pathology and radiology have affected clinical decision-making, efficiency, the hiring/retention of physicians within related specialties, and developments on the horizon. Some potential outcomes include an abstract, paper, blog post, or dashboard.