About Me
I am a Computational Chemist and Data Scientist with over 3 years of experience at P&G Digital Accelerator, University of Cincinnati. I specialize in predictive modeling, machine learning, and data analytics, with a focus on sustainable materials research. My work leverages Python, Streamlit, and high-performance computing to accelerate R&D, reducing costs by 40% and timelines by 70%. I hold a Ph.D. in Organic Chemistry from The Ohio State University, where I developed computational pipelines for drug discovery and materials science.
Education
- Ph.D., Organic Chemistry (Computational Chemistry Focus), The Ohio State University, 2017–2023
- B.A., Chemistry with Honors, The Ohio State University, 2007–2011
- B.A., Philosophy with Honors, The Ohio State University, 2007–2011
Awards and Honors
- John S. Swenton Award for Outstanding Teaching, 2021
- GAANN Fellowship, U.S. Department of Education, 2019
- Graduate Enrichment Fellowship, 2017–2018
Professional Affiliations
- American Chemical Society