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 within the Machine Learning Group at CSI. He is deeply committed to leveraging state-of-the-art AI/ML techniques to tackle complex scientific challenges, with a particular focus on computational biology and biomedical risk modeling.

Prior to joining BNL in 2020, Xin served as a postdoctoral researcher in theoretical condensed matter physics at The Ohio State University. He brings a diverse range of expertise and a passion for interdisciplinary collaboration to his work, enabling him to develop innovative solutions to a wide variety of scientific problems.

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

Xin's Links