Graduate Students

Simon BatznerSimon Batzner

Simon is a PhD student in Applied Mathematics at Harvard. While interested in far too many things for his own good, his research focuses on building deep learning systems for applications in computational physics and chemistry. Before joining Harvard, he worked on machine learning at MIT and on the NASA mission SOFIA. In his free time, you can find him playing soccer, hiking, and swimming. He comes to Harvard having finished his Master's at MIT. He is originally from beautiful Illertissen, Germany. 

batzner@g.harvard.edu

Kyle BystromKyle Bystrom

Kyle is a first-year PhD student in Applied Physics. His primary research interest is developing more accurate and efficient electronic structure methods, particularly density functionals, using analytical theory and machine learning. He grew up in the San Francisco Bay Area and obtained his B.S. in Chemistry from UC Berkeley.

kylebystrom@g.harvard.edu

David ClarkDavid Clark

David is a PhD student in computer science at Harvard Univeristy focusing on the intersection of machine learning and high performance computing. He works with Professor Boris Kozinsky developing novel computational methods to accelerate materials science research.

Blake DuschatkoBlake Duschatko

Blake is a graduate student in Applied Physics at Harvard University. His research interests intersect condensed matter theory, materials science, and developing efficient computational techniques for such problems. Currently, he is developing frameworks for molecular dynamics coarse graining and functional learning.

bduschatko@g.harvard.edu

Jenny CoulterJenny Coulter

Jenny is a PhD student in applied physics. She is interested in using computational techniques to predict transport in bulk materials. Using electron-phonon calculations, she studies the impact of different scattering processes on thermal/electrical conductivities and thermoelectric properties. She completed her B.S. in physics at Rutgers University, and is currently supported by the DOE Computational Science Graduate Fellowship (CSGF).

jcoulter@g.harvard.edu 

 

Anders JohanssonAnders Johansson

Anders is a first-year Applied Physics graduate student. He is interested in the development of new and more general force fields for molecular dynamics simulations. Before joining MIR, he obtained his B.Sc. and M.Sc. from the University of Oslo, where he studied creep processes in silica asperities using molecular dynamics. In his spare time, he enjoys skeet shooting.

David LimDavid Lim

David is a Ph.D student in the Department of Chemistry and Chemical Biology.  He is being co-advised by Prof. Cynthia Friend and Prof. Efthimios Kaxiras.  His research area is in computational catalysis, specifically surface restructuring in Pd/Ag catalysts for selective hydrogenation.  Before coming to Harvard, he pursued B.A. Chemistry and B.S.E. Chemical and Biomolecular Engineering at the University of Pennsylvania, while doing research in DFT modeling of magnetoelectric coupling in multiferroic oxides under Prof. Andrew Rappe.

Mark MiaoMark Miao

Mark is a Ph.D. student in Engineering Sciences. He is advised by Prof. Joost Vlassak and is doing materials simulations with Prof. Kozinsky. His research includes microfabrication, nanocalorimetry, and shape memory alloys. He received his Bachelor's degree from Xi'an Jiaotong University, China.

Steven TorrisiSteven Torrisi

Steven Torrisi is a graduate student in the Physics Department working with Efthimios Kaxiras. With MIR, Steven is working on understanding reaction mechanisms of important catalytic reactions. He did his undergraduate work at the University of Rochester (2016), obtaining a B.S. in Physics and a B.A. in Mathematics. He is supported by the Department of Energy's Computational Science Graduate Fellowship (CSGF).

torrisi@g.harvard.edu

Jonathan VandermauseJonathan Vandermause

Jon is a physics graduate student interested in connections between condensed matter theory and data-driven science. He received his B.A. in math and physics from Dartmouth College and grew up in Green Bay, Wisconsin. He enjoys watching Aaron Rodgers throw deep bombs to the end zone on Sunday afternoons.

Yu XieYu Xie

Yu is a Ph.D student majoring in Applied Math at SEAS, Harvard. She is originally from Chongqing, China. In 2018, she got her Bachelor's degree from the School of Mathematical Sciences, Peking University. Now, she is working on implementing machine learning methods for molecular dynamics. Discussions are always welcomed! 

(How to pronounce her name: Yu: /j/+ü(If you know this German pronunciation); Xie:  /ʃe/)

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