基本信息
views: 5
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
Areas of Interest:
Research interests: High-dimensional inference, survival analysis, statistical methods for big data, machine learning, personalized medicine.
My research focuses on developing novel statistical methods for big data, meaning extremely large data sets with complex structures and high dimensional n, p, or both. High dimensional inference refers to the uncertainty measures of the statistical models, including asymptotic convergence, confidence intervals and hypothesis testing, which possesses unique challenges that have been drawing substantial research attention in recent years. My works aim to simultaneously give accurate and robust point estimation and inferences for the regression parameters when allowing the number of predictors to be much larger than the sample size. Our methods have seen prominent success in applications to cancer studies with different types of genomic predictors.
I have been working on a variety of research topics via collaborations. I have worked with scholars in Biomedical Informatics from Northwestern University on microRNA expression data from an air pollution study conducted in Beijing, China. I have also worked on single cell sequencing data, which is a classification/clustering problem with the challenge of the highly sparse reads of the single cells.
I am experienced in survival analysis, through multiple projects with national level health data concerning patients and health centers, for examples, patients’ survival after kidney transplantation and quality evaluations of nationwide dialysis facilities.
Research interests: High-dimensional inference, survival analysis, statistical methods for big data, machine learning, personalized medicine.
My research focuses on developing novel statistical methods for big data, meaning extremely large data sets with complex structures and high dimensional n, p, or both. High dimensional inference refers to the uncertainty measures of the statistical models, including asymptotic convergence, confidence intervals and hypothesis testing, which possesses unique challenges that have been drawing substantial research attention in recent years. My works aim to simultaneously give accurate and robust point estimation and inferences for the regression parameters when allowing the number of predictors to be much larger than the sample size. Our methods have seen prominent success in applications to cancer studies with different types of genomic predictors.
I have been working on a variety of research topics via collaborations. I have worked with scholars in Biomedical Informatics from Northwestern University on microRNA expression data from an air pollution study conducted in Beijing, China. I have also worked on single cell sequencing data, which is a classification/clustering problem with the challenge of the highly sparse reads of the single cells.
I am experienced in survival analysis, through multiple projects with national level health data concerning patients and health centers, for examples, patients’ survival after kidney transplantation and quality evaluations of nationwide dialysis facilities.
Research Interests
Papers共 51 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Hypertension (Dallas, Tex. : 1979)no. 6 (2024): 1257-1268
Vahid Mohammadzadeh, Leyan Li,Zhe Fei,Tyler Davis,Esteban Morales, Kara Wu, Elise Lee Ma,Abdelmonem A. Fifi,Kouros Nouri-Mahdavi,Joseph Caprioli
OPHTHALMOLOGYno. 2 (2024): 100423-100423
Science advancesno. 23 (2024): eadm7273-eadm7273
Diabetes research and clinical practice (2024): 111576-111576
Journal of addiction medicineno. 3 (2024): 331-334
AMERICAN JOURNAL OF OBSTETRICS & GYNECOLOGY MFMno. 1 (2024): 101217-101217
Stacy Calhoun,Huiying Guo,Zhe Fei,Laura-Mae Baldwin,Allison Ober,Megan Black, Sarah Clingan, Emily Kan,Chunqing Lin,Huyen Pham,Yuhui Zhu,Larissa Mooney,
Drug and Alcohol Dependence (2024): 110723
DIABETES RESEARCH AND CLINICAL PRACTICE (2024)
Ophthalmology Scienceno. 1 (2023): 100244-100244
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn