Predicting the antigenic evolution of SARS-COV-2 with deep learning
Han, W.*, Chen, N.*, Xu, X.* et al. Predicting the antigenic evolution of SARS-COV-2 with deep learning. Nat Commun 14, 3478 (2023). https://doi.org/10.1038/s41467-023-39199-6
CV
Education
- B.S. in Bioinformatics, Southern University of Science and Technology, 2017-2021
- M.S. in Bioscience (Computational Bioscience Research Center), King Abdullah University of Science and Technology (KAUST), 2020-2022
- Ph.D in Biosystems Science and Engineering, ETH Zurich, 2023-2027 (expected)
Work experience
- 2022-2023: Algorithm engineer
- Syneron Tech
- Duties included: AI for drug discovery, phage display & cDNA display NGS analysis
Publications
Clinical utility of polygenic scores for cardiometabolic disease in Arabs
Shim, I.*, Kuwahara, H.*, Chen, N.*, et al. Clinical utility of polygenic scores for cardiometabolic disease in Arabs. Nat Commun 14, 6535 (2023). https://doi.org/10.1038/s41467-023-41985-1
Massive underrepresentation of Arabs in genomic studies of common disease
Bhattacharya, R.*, Chen, N.*, Shim, I., Kuwahara, H., Gao, X., Alkuraya, F.S., & Fahed, A.C. (2023). Massive underrepresentation of Arabs in genomic studies of common disease. Genome Medicine, 15, 99. https://doi.org/10.1186/s13073-023-01254-8
Benchmarking probabilistic machine learning in protein fitness landscape predictions
Chen, N.,Han, W., & Reddy, S.T. (2024). Benchmarking probabilistic machine learning in protein fitness landscape predictions. ML4LMS Workshop at ICML 2024. https://openreview.net/forum?id=eJd8aliHai
Navigating Trustworthiness of Deep Learning in ∆∆G Prediction: Addressing Data Bias, Model Evaluation, and Interpretation
Zhang, R.*, Chen, N.*,, Zhou, F., & Gao, X. (2024). Navigating Trustworthiness of Deep Learning in ∆∆G Prediction: Addressing Data Bias, Model Evaluation, and Interpretation. ML4LMS Workshop at ICML 2024. https://openreview.net/forum?id=XU1ACMwTlr