About Me
A brief introduction to my professional philosophy and approach.
I am a Ph.D. Biostatistician with a passion for transforming complex clinical and genomic data into clear, actionable strategies. With over 15 years of experience, my work sits at the intersection of statistical theory, machine learning, and clinical application. I thrive on leading interdisciplinary teams to build predictive models and analytical tools that have a tangible impact on patient outcomes. My goal is always to deliver robust, reproducible, and regulatory-compliant science that pushes the boundaries of personalized medicine.
Core Expertise
A visual overview of my technical and scientific skill set.
Career Journey
Tracing my path from academia to industry leadership.
2020 – Present
Senior Clinical Data Scientist
National Marrow Donor Program (NMDP/CIBMTR)
Leading development of ML models for HCT outcomes, influencing decisions for 10,000+ patients and chairing the NMDP Forum.
2017 – 2019
Statistical Consultant
Cornell Statistical Consulting Unit
Provided expert biostatistical consulting to over 100 research groups and led advanced R/SAS training workshops.
2011 – 2017
Postdoctoral Research Fellow
Cornell University, Dept. of Plant Breeding & Genetics
Developed foundational genomic prediction methods and authored three globally-adopted R packages.
Education
Ph.D. in Statistics
Bowling Green State University
Specialized in High-Dimensional Data Analysis, laying the groundwork for my career in complex data modeling.
Impact Portfolio
Explore my key contributions to science and software.