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.
Yuhong Liu is a M.S. student at Rensselaer Polytechnic Institute in the physics department. He received his bachelor’s degree in Applied Physics and Computer Science from RPI in 2020. His research focus on using Neural Networks to study the magnetic properties of 2D magnetic materials.
Peter Minch is a PhD student at RPI in the physics department. He received his bachelor’s degree in physics from Cornell in 2020. His research focuses on the usage of ab initio calculations and data driven analyses to study the properties of 2D materials.
Josh Quinton is a Ph.D. student in physics at Rensselaer Polytechnic Institute. He is originally from Singapore, and graduated from the undergraduate program in physics at the University of Illinois at Urbana-Champaign in 2019. His research focuses on ab-initio analysis of materials and developing data-driven approaches for efficiently modeling material and chemical properties.
Haralambos is a second year undergraduate at RPI majoring in Physics and Math.
Alana Commons is a first-year undergraduate student majoring in physics at Rensselaer Polytechnic Institute. She works with Peter Minch, focusing her research on finding relationships between chemical properties and magnetism through data analysis.
David Medlock is an undergrad student of Physics and Mathematics at RPI. They are set to graduate in December of 2021, and intend to pursue a Ph.D. in physics after that. Currently their research is focused on predicting formation energies of 2D materials.
Naman Parikh is a student at North Penn High School in Lansdale, PA interested in advanced physics and math. His research focuses on using machine learning to study and predict thermodynamic properties of 2 dimensional magnetic materials and aid in the computational discovery of new materials for various applications. In his free time, Naman enjoys bowling and listening to podcasts.
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.ecules and materials using machine learning based algorithms.
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
Ainsley is a undergraduate student at Rensselaer Polytechnic Institute majoring in physics
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.
Johari is an REU fellow.
Alex is an REU fellow.
Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute
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