Res Associate Computational Scienc, Comput. Sci. Mach. Learning, Computational Science Initiative
Brookhaven National Laboratory
Computational Science Initiative
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.
2013-2018, PhD, Physics, Tsinghua University, Beijing, China
2009-2013, BS, Physics, Nanjing University, Nanjing, China
2020 - Present, Research Associate, Brookhaven National Laboratory
2018 - 2020, Postdoctoral Researcher, Ohio State University
- 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