General Lab Information

Xin Dai

Res Associate Computational Scienc, Comput. Sci. Mach. Learning, Computational Science Initiative

Xin Dai

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000

Xin is a machine learning scientist in the Machine Learning Group of CSI. He is interested in solving a wide range of scientific challenges, e.g., protein structure/function determination, cancer risk estimation, and quantum machine learning, with AI/ML methods.

Before joining BNL in 2020, he worked at The Ohio State University in theoretical condensed matter physics as a postdoc.

Education | Appointments | Publications


Education

2013-2018, PhD, Physics, Tsinghua University, Beijing, China

2009-2013, BS, Physics, Nanjing University, Nanjing, China

Professional Appointments

2020 - Present, Research Associate, Brookhaven National Laboratory

2018 - 2020, Postdoctoral Researcher, Ohio State University

Selected Publications

  • Dai X, Du ZZ, Lu H-Z (2017) Negative Magnetoresistance without Chiral Anomaly in Topological Insulators. Physical Review Letters 119:. https://doi.org/10.1103/physrevlett.119.166601
  • Dai X, Park JH, Yoo S, et al (2022) Survival analysis of localized prostate cancer with deep learning. Scientific Reports 12:. https://doi.org/10.1038/s41598-022-22118-y
Xin Dai

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000

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