Bio

Jeremy’s research is at the interface of cheminformatics, bioinformatics, and data science. He creates software that helps researchers apply machine learning methods to chemical data. His dissertation was on statistical methods development for QSAR models – models predicting the bioactivity of small molecules given their chemical structure.

Education

North Carolina State University | Raleigh, NC

Ph. D. in Bioinformatics | M. S. in Statistics

The University of Texas, Austin | Austin, TX

B.S. in Biology

Experience

SAS | Research Statistician in JMP R&D | Jan 2020 - Feb 2022

Janssen Pharmaceutical Companies of Johnson & Johnson | AI/ML Drug Discovery Data Scientist | Feb 2022 - PRESENT