May

_pages/about.md

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 ![Drag Racing](images/welcome.png)
 
 
-I am Xuewei Cao (She/Her), a postdoctoral research scientist at Center for Statistical Genetics in the Gertrude H. Sergievsky Center at Columbia University under supervisions of [Dr. Gao Wang](https://wanggroup.org/) and co-mentored by [Dr. Kushal K Dey](https://www.mskcc.org/research/ski/labs/kushal-dey) from Memorial Sloan Kettering Cancer Center (MSKCC). 
+I am Xuewei Cao (She/Her), a postdoctoral research scientist at Center for Statistical Genetics in the Gertrude H. Sergievsky Center at Columbia University and Computational & Systems Biology Program at Memorial Sloan Kattering Cancer Center (MSKCC) under supervisions of [Dr. Gao Wang](https://wanggroup.org/) and [Dr. Kushal K Dey](https://www.mskcc.org/research/ski/labs/kushal-dey). 
 
 I received my Ph.D. in statistics from Department of Mathematical Sciences at Michigan Techological University (2023) under the supervisions of [Dr. Qiuying Sha](https://www.mtu.edu/math/department/faculty-staff/faculty/sha/) and [Dr. Shuanglin Zhang](https://pages.mtu.edu/~shuzhang/). I received my M.S. in science of system theory from School of System Science at Beijing Normal University (2018) and my B.S. in statistics from Department of Mathematical Sciences at Heilongjiang University (2015).
 

_pages/cv.md

@@ -14,6 +14,7 @@ Professional Appointment
 ======
 * Postdoctoral Research Scientist \\
 Center for Statistical Genetics in the Gertrude H. Sergievsky Center, Columbia University\\
+Computational \& Systems Biology Program, Memorial Sloan Kattering Cancer Center\\
 **Research direction**: Fine-mapping and colocalization analysis, *trans*-QTL network analysis
 
 Education

_pages/publications.md

@@ -10,15 +10,15 @@ author_profile: true
 ## \[2024+\]
 
 * **<u>Cao, X.</u>**\#, Zhu, L.\#, Liang, X., Zhang, S. & Sha, Q.\* (2024+). Constructing genotype and phenotype network helps reveal disease heritability and phenome-wide association studies. *Submitted in October 2023*. [medRxiv](https://www.medrxiv.org/content/10.1101/2023.11.14.23297400v1) [software](https://github.com/xueweic/GPN)
-* Zhao, C.\#, Su, K.\#, Wu, C., **<u>Cao, X.</u>**, Sha, Q., Li, W., Luo, Z., Qin, T., Qiu, C., Liu, A., Jiang, L., Zhang, X., Shen, H., Deng, H.W.\* & Zhou, W.\* (2023+). Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics. *Submitted in October 2023*. [arXiv](https://arxiv.org/abs/2310.07990)
+* Zhao, C.\#, Su, K.\#, Wu, C., **<u>Cao, X.</u>**, Sha, Q., Li, W., Luo, Z., Qin, T., Qiu, C., Liu, A., Jiang, L., Zhang, X., Shen, H., Deng, H.W.\* & Zhou, W.\* (2024+). Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics. *Submitted in October 2023*. [arXiv](https://arxiv.org/abs/2310.07990)
 * Qi, Z., Pelletier, A., Willwerscheid, J. **<u>Cao, X.</u>**, Wen, X., Cruchaga, C., De Jager, P.L., TCW, J.\* & Wang, G.\* (2024+). Novel Missing Data Imputation Approaches Enhance Quantitative Trait Loci Discovery in Multi-Omics Analysis. *Preprinted in November 2023*. [medRxiv](https://doi.org/10.1101/2023.11.29.23299181)
 
 
 ## \[2024\]
-* **<u>Cao, X.</u>**, Zhang, S., & Sha, Q.\* (2024+). A novel method for multiple phenotype association studies based on genotype and phenotype network. *PLoS Genetics*. Accepted. [bioRxiv](https://doi.org/10.1101/2023.02.23.529687) [software](https://github.com/xueweic/GPN)
-* **<u>Cao, X.</u>**\#, Keyak, J.H.\#, Sigurdsson, S., Zhao, C., Zhou, W., Liu, A., Lang, T.F., Deng, H.W., Guðnason, V.\* & Sha, Q.\* (2024). A New Hip Fracture Risk Index Derived from FEA-Computed Proximal Femur Fracture Loads and Energies-to-Failure. *Osteoporosis International*. Accepted. [arXiv](https://arxiv.org/abs/2210.01032)
+* **<u>Cao, X.</u>**, Zhang, S., & Sha, Q.\* (2024). A novel method for multiple phenotype association studies based on genotype and phenotype network. *PLoS Genetics*. Accepted. [bioRxiv](https://doi.org/10.1101/2023.02.23.529687) [software](https://github.com/xueweic/GPN)
+* **<u>Cao, X.</u>**\#, Keyak, J.H.\#, Sigurdsson, S., Zhao, C., Zhou, W., Liu, A., Lang, T.F., Deng, H.W., Guðnason, V.\* & Sha, Q.\* (2024). A New Hip Fracture Risk Index Derived from FEA-Computed Proximal Femur Fracture Loads and Energies-to-Failure. *Osteoporosis International*. 35, 785–794. [doi](https://link.springer.com/article/10.1007/s00198-024-07015-6)
 * Zhu, L., Yan, S., **<u>Cao, X.</u>**, Sha, Q. & Zhang, S.\* (2024). Integrating external controls by regression calibration for genome-wide association study. *Genes*. 15(1), 67. [doi](https://doi.org/10.3390/genes15010067)
-* Zhao, C., Liu, A., Zhang, X., **<u>Cao, X.</u>**, Ding, Z., Sha, Q., Shen, H., Deng, H.W.\* & Zhou, W.\* CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data. (2024). *Computers in Biology and Medicine*. Accepted. [arXiv](https://arxiv.org/abs/2304.05542)
+* Zhao, C., Liu, A., Zhang, X., **<u>Cao, X.</u>**, Ding, Z., Sha, Q., Shen, H., Deng, H.W.\* & Zhou, W.\* CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data. (2024). *Computers in Biology and Medicine*. [doi](https://doi.org/10.1016/j.compbiomed.2024.108058)
 
 
 ## \[2023\]

_pages/talks.md

@@ -5,6 +5,8 @@ permalink: /talks/
 author_profile: true
 ---
 
+* A new gradient boosting informed colocalization algorithm improves the identification of functional disease causal variants. [ICSA 2024 Applied Statistics Symposium (ICSA 2024)](https://symposium2024.icsa.org/), Tennessee, Jun.18, 2024
+* Novel statistical approaches for multi-modal cis- and trans-xQTL data integration informs genetic architecture of complex diseases. [Conference on Statistics in Genomics and Genentics (STATGEN 2024)](https://www.sph.pitt.edu/statgen-2024-conference-statistics-genomics-and-genetics), Pittsburgh, Pennsylvania, May.1, 2024
 * A new gradient boosting informed multi-omics colocalization method improves the discovery of molecular quantitative trait loci for complex diseases.[13th Annual Taub Institute Retreat](http://www.columbianeuroresearch.org/taub/images/events/Taub-2023-Research-Retreat.pdf), New York City, NY, Nov. 2023
 * COLOC-Boost: A new gradient boosting informed colocalization algorithm improves the identification of functional disease causal variants.
 [American Society of Human Genetics (ASHG) 2023](https://www.ashg.org/meetings/2023meeting/attendees/registration/?gclid=CjwKCAjwsKqoBhBPEiwALrrqiLs3U3r6tlx8_2is2t_wgmJsKYpxIf7HHjbYNg3SaeehJDjqhaEB2xoCWgkQAvD_BwE), Washington, DC, Nov. 2023