Research InterestsApplying machine learning techniques to the development and
discovery of materials Current Research- High-throughput crystal structure prediction
- Using machine learning to predict material properties
Contributions to Open-Source Software EducationM.S. – The Ohio State University – 2012 – Materials Science and
Engineering - Thesis Topic: “Predictive Modeling for
Developing Novel Metallic Glass Alloys”
- Co-Advisors: Wolfgang Windl and Katharine Flores
B.S. – The Ohio State
University – 2011 – Materials Science and Engineering, minor in Computer and
Information Science - Graduated Summa cum Laude with Honors and
Research Distinction
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