Xin Dai
Research Staff 3 Computational, Comput. Sci. Mach. Learning, Computational Science Initiative
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
2023 - Present, Research Staff Scientist, Brookhaven National Laboratory
2020 - 2023, Research Associate, Brookhaven National Laboratory
2018 - 2020, Postdoctoral Researcher, Ohio State University
Selected Publications
- Dai X, Wu L, Yoo S, Liu Q (2023) Integrating AlphaFold and deep learning for atomistic interpretation of cryo-EM maps. Briefings in Bioinformatics 24:. https://doi.org/10.1093/bib/bbad405
- 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
- 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
Brookhaven National Laboratory
Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000
