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Bio
My main research interests are using machine learning to study the synthesis of novel materials primarily for catalysis. To obtain the necessary data for machine learning, I employ natural language processing techniques to automatically extract synthesis data from scientific literature and patents. I use generative neural network models and active learning methods to generate synthesis route hypotheses to theoretical materials, providing starting points for their synthesis.
I am currently a second year PhD candidate at Massachusetts Institute of Technology in the department of Materials Science and Engineering. I work with Professor Elsa Olivetti on the synthesis project (www.synthesisproject.org). My anticipated graduation is the spring of 2022.
I obtained my undergraduate degree from the University of Wisconsin-Madison in 2017 with a major in Materials Science and Engineering and a minor in computer science. I worked as a summer intern/researcher at Oak Ridge National Lab on appointment through the SULI program doing materials chemistry. I was also a member of the Materials Informatics group in the Materials department at UW-Madison. In the past I worked as a Research and Development intern at Federal Mogul in Waupun, Wisconsin.
Research Interests
Papers共 13 篇Author StatisticsCo-AuthorSimilar Experts
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ACS CENTRAL SCIENCEno. 3 (2024): 729-743
Chemistry of materialsno. 3 (2023): 1062-1079
arXiv (Cornell University) (2021)
Zach Jensen, Emanuele Olivetti
Inorganic materials seriespp.265-295, (2021)
semanticscholar(2020)
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Author Statistics
#Papers: 9
#Citation: 457
H-Index: 5
G-Index: 6
Sociability: 3
Diversity: 1
Activity: 39
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