Alumni

Master student in CS. Currently Software Engineer at Nvidia.

PhD student in Materials Science. Quantum Monte Carlo and quantum chemistry of electrolyte stability

Undergraduate researcher in mathematical theory of ionic transport

Undergraduate researcher in thermoelectric transport. Currently graduate student at Cambridge Univ.

Undergraduate researcher in data computational provenance. Currently grad student in Hong Kong. 

Postdoctoral researcher in electron-phonon transport. Currently at ICN2 in Barcelona.

Postdoctoral researcher in thermoelectric transport methods. Currently in U Lichtenstein

Undergraduate researcher working on ionic transport . Currently a PhD student in Applied Physics at Caltech.

Undergraduate researcher in data provenance. Currently CS PhD student at Boston University.

Undergraduate researcher in machine learning methods.

PhD student in machine learning for materials science. Currently scientist at Toyota Research Institute.

Postdoc in machine learning collective variables. Currently scientist at Microsoft Research Cambridge, UK.

Postdoc in thermal and electronic transport. Currently software engineer at Microsoft Quantum.

PhD student in computational catalysis. Currently postdoc at UCLA.

PhD student in shape memory alloy. Currently integration engineer at Intel.

PhD student in machine learning force field methods. Currently postdoc at D. E. Shaw Research.

Postdoc in ionic transport and energy storage. Currently research engineer at Bosch USA.

PhD student in Applied Mathematics at Harvard. Currently research scientist at Google Brain.

PhD student in Applied Physics at Harvard. Currently research fellow at Flatiron Institute Center for Computational Quantum Physics (CCQ).

PhD student in Applied Physics at Harvard. Currently research scientist at Microsoft AI4Science in Berlin.

Albert Zhu was an undergraduate researcher who worked on accessing uncertainties in deep learning potentials. 

PhD student in Applied Math and Postdoc in MIR Group at Harvard.

PhD student in Chemistry and Postdoc in MIR Group at Harvard. Currently machine learning research scientist at Lila Sciences.

PhD student in Applied Physics at Harvard. Currently research fellow at Flatiron Initiative for Computational Catalysis (ICC).

PhD student in Applied Physics at Harvard. Currently postdoc at Sandia National Laboratories.

Environmental Fellow in machine learning interatomic potentials for electrolytes. Currently Assistant Professor at Georgia Tech in the School of Chemical and Biomolecular Engineering.

Postdoc in machine learned interatomic potentials for ionic liquids and energy materials. Currently Glasstone Research Fellow in Materials and Extraordinary Junior Research Fellow in Materials of The Queen’s College at University of Oxford.

Postdoc in machine learning for polarons and predicting electric response. Currently member of the technical staff at Radical AI.

Postdoc in machine learned interatomic potentials and molecular dynamics for battery materials. Currently senior computational materials scientist at SES AI.

Postdoc in enhanced sampling, generative modeling, and unsupervised representation learning. Currently postdoc at Università della Svizzera italiana.

Environmental Fellow in machine learning for defects in solid-state energy materials. Currently Assistant Professor in Simulation of Energy Materials at University of Cambridge, Department of Chemistry.