Megan Rafferty

Megan Rafferty

Data Scientist

Hello! I am a senior data scientist with over six years of experience across industry, consulting, and academic settings, spanning several domains, including healthcare, clinical neuroscience, and public policy. Currently, I leverage data science to advance precision medicine and cancer care at Syapse. In my previous roles, I tackled policy-related challenges and enhanced the delivery of government services through data-driven research and insights. Prior to that, I focused on investigating neuropsychiatric disorders and cognitive dysfunction to develop innovative treatments and improve outcomes for severe mental illness. I am passionate about harnessing data and technology for social good, particularly in healthcare, and I love a good visualization.

Outside of the office, I enjoy live music and eating my way across NYC. If you’re interested in chatting or working together, feel free to contact me!

Website is currently under construction.

Skills

Statistics & ML
Developing
Research
Management

Projects and posts

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Mapping Social Vulnerability

Mapping Social Vulnerability

Interactive tool that explores CDC’s Social Vulnerability Index

Visualizing Machine Learning

Visualizing Machine Learning

Interactive visualization of machine learning concepts

Predicting In-Hospital Mortality for Traumatic Brain Injury

Predicting In-Hospital Mortality for Traumatic Brain Injury

Utilizing machine learning and real-world data to predict mortality in TBI patients admitted to the ICU

Geocoding with ArcGIS and Nominatim

Geocoding with ArcGIS and Nominatim

How-to for common geocoding tasks

Predictors of Survival among Adrenal Cortical Carcinoma Cases

Predictors of Survival among Adrenal Cortical Carcinoma Cases

Survival analysis of adrenal cortical carcinoma cases in the US with machine learning

Texas COVID-19 School District Monitoring Dashboard

Texas COVID-19 School District Monitoring Dashboard

Interactive dashboard tracking COVID-19 metrics and transmission risk levels