I am a currently a Full Operations Researcher at RAND Corporation. My research interests are in data-driven solutions for health care problems particularly in respect to women’s health, mental health, and health disparities. I leverage methods from machine learning, causal inference and network science. I am available for inquiries about my research and my contact information is below.
Recent News
“Check Me Out as a Podcast Guest!AWIS Innovators & Motivators
Here I speak with my mentee about mentorship, shifting careers, and risk taking.
Casual Inference
I speak about the interection of Industrial Engineering and Causal Inference”
“
Chapter Publication: Supervised Link Weight Prediction Using Node Metadata
”
“
First Commentary with My New RAND Colleagues!
”
“
Featured Scientist of the Month by Chicago Chapter American Women in Science
”
“Started as Operations Researcher at RAND Corporation
”
“
Medium Blog Feature: Crunching Big Data for Good Healthcare Policy
”
“Featured Faculty on the Purdue Initiative in Data and Engineering Applications (IDEA) Page
Read here
”
“Workshop Speaker: Building Data Science Teams to Meet the Health Science Challenge
Hosted by: IDSI Coffee Klatch Series, co-hosted with Purdue RCHE
”
“IISE Conference Speaker: Exploring Data Science
Register here
”
“
Panelist for Webinar: How will data science and AI shape the post-pandemic future of healthcare?
Watch here
”
“
Featured in Georgia Tech ISyE Alum Magazine
”
“Invited Talk: “Health Data Science”
Rice University - Computational and Applied Mathematics Department Colloquium
”
“Journal Paper Published: “Accessing the Impact on the Health and Wellness Outcomes of Infants born to Teen Mothers””
“Journal Paper Published: “”Leveraging TCGA gene expression data to build predictive models for cancer drug response””
“Started as Assistant Professor in Industrial Engineering at Purdue University
”
“Completed PhD!!!!!
”Analytics and Machine Learning Applied to Health Care Data””