Trevor David Rhone received a liberal arts education from Macalester College in Saint Paul. He went on to pursue his doctoral studies at Columbia University in the city of New York where he did experimental studies of two-dimensional electron systems in the extreme quantum limit. Trevor David spent several years at NTT Basic research laboratories in Japan. During a research stint at the National Institute of Materials Science in Japan, he transitioned to materials informatics research - exploiting machine learning tools to perform materials research. He continued this work at Harvard University where he used machine learning tools to search for new 2D magnetic materials.
Jinzhe graduated from INSA Lyon in Bioinformatics and Modeling, He is presently pursuing his PhD at the University of Tokyo in the group of Prof. Koji Tsuda. He is mainly interested in designing new molecules and materials using machine learning based algorithms.
Christian is a second year graduate student at RPI.
Vaishnavi is a graduate student at Rensselaer Polytechnic Institute majoring in Information Technology with a concentration in data science and analytics. She has completed her under graduate degree in Electronics and Communications Engineering. Her research focuses on the Data-driven studies of magnetic two-dimensional materials. The goal of her research is to develop machine learning models to predict properties of 2D materials. Vaishnavi aspires to pursue a career in Data science to help promote exploration and innovation through data.
Yuhong is a graduate student at Rensselaer Polytechnic Institute majoring in physics
Anindita joined RPI in Fall 2019 as a PhD student in the department of Electrical, Computer, and Systems Engineering. She received her B. Tech. degree in Electronics and Communication Engineering from WBUT, India and M. Tech. degree in VLSI Design and Microelectronics Technology from Jadavpur University, India. Her research focuses on the promising intersection of artificial intelligence and materials growth, she aims to harness the benefits of machine learning methods to optimize the existing research process for the growth of materials having improved characteristics.
Alvaro is a undergraduate student at Rensselaer Polytechnic Institute majoring in physics
Johari is an REU fellow.
Alex is an REU fellow.
Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute
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