news
archive of all news
2022/02 | I joined Microsoft Research as a Senior Researcher. I will work on ML for materials in the newly founded molecular modeling intiative. |
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2021/12 | I will give a contributed talk (top 2 %) about our latest CDVAE paper at the NeurIPS ML4Physics workshop on Dec. 13, 2021. |
2021/10 | Excited to share our latest preprint “Crystal Diffusion Variational Autoencoder for Periodic Material Generation” on arXiv. Update (2021/12): code and data are now available on our github repo. |
2021/05 | Our lastest work “Charting lattice thermal conductivity for inorganic crystals and discovering rare earth chalcogenides for thermoelectrics is published on Energy & Environmental Science. |
2020/12 | I will present our recent work “Accelerate the screening of complex materials by learning to reduce random and systematic errors” as a Spotlight Talk at the NeurIPS ML4Molecules workshop. |
2020/10 | I joined MIT CSAIL as a postdoc. I will be working with Regina Barzilay and Tommi Jaakkola on developing physics motivated ML models for drug and material discovery. |
2020/07 | I defended my PhD thesis. A video can be found in YouTube and the thesis will be available at MIT library soon. Update (2021/01): thesis is now available at MIT library. Update (2021/07): slides is available here |
2019/06 | Our work “Graph dynamical networks for unsupervised learning of atomic scale dynamics in materials” is published on Nature Communications. |
2019/02 | I joined DeepMind in London as an intern to start a project at the science team. |
2019/02 | I joined X (formerly Google X) in Mountain View as an intern to work on an early stage project that combines machine learning and physics. |