Ramaa Nathan | VP of Data Science and Real-World Evidence
EVERSANA

Ramaa Nathan, VP of Data Science and Real-World Evidence, EVERSANA

Ramaa Nathan serves as the VP, Data Science and Real World Evidence at EVERSANA with several years of experience in the financial and healthcare industries. Ramaa is a data scientist and statistician with extensive programming, statistical and data analysis skills. She holds a PhD in computer and information science from the University of Pennsylvania and an MS in applied statistics from Penn State. She is a data enthusiast and has many years of experience in working with different types of data, including healthcare and non-healthcare data. Ramaa has served in several roles in the financial and health care industries as a researcher, software developer, data analyst, project manager, client engagement specialist and data scientist. She is also very engaged in the local data science community and is the organizer of DataPhilly, a community data science group.

Appearances:



Day 2 - World Orphan Drug Congress USA 2025 @ 11:00

Panel: Validation of a machine learning predictive model for the identification of APDS patients

This presentation showcases innovative methods validated against the newly assigned ICD-10 code for Activated PI3K Delta Syndrome.

Sponsored by EVERSANA.

last published: 24/Apr/25 11:35 GMT

back to speakers

Get Involved At World Orphan Drug Congress USA

 

Connect with us

 
 
 
 

 

To Sponsor Or Exhibit

 
 

Justin Franks
justin.franks@terrapinn.com
t/ +1 914 819 3506

 

 

 

To Speak

 
 

Kaylee Nguyen
kaylee.nguyen@terrapinn.com
 

 

 

 

Marketing & Press

 
 

Kaylie Brogan
kaylie.brogan@terrapinn.com