I am a Postdoctoral Research Associate at Harvard University. I have completed my Ph.D. at New York University, Division of Biostatistics, advised by Professors Eva Petkova, Keith Goldfeld and Hyung Park.

I earned my M.S. in Biostatistics and Data Science from Cornell University, Weill Cornell Medicine, under the guidance of Prof. Samprit Banerjee. Prior to that, I obtained a B.S. in Applied Statistics from the Central University of Finance and Economics (中央财经大学), where I was advised by Prof. Feng Li (李丰).

I interned at Moderna in 2023 summer, focused on designing a Bayesian seamless Phase II/III trial and evaluating early/surrogate endpoints to make early program decisions for their individualized neoantigen therapies.

My research interests include Bayesian Statistics, Precision Medicine, Clinical Trial Design, and Statistical Computing. I have been published in journals such as JAMA Internal Medicine, JAMA Network Open, BMC Medical Research Methodology and Statistics in Medicine.

🎖 Honors and Awards

• Meritorious Award in the Mathematical Contest in Modeling Competition
• Outstanding Graduate Award, Central University of Finance and Economics
• Academic Scholarship in Research and Innovation, Central University of Finance and Economics

📝 Publications

Publications

• BMC Medical Research Methodology 2023A Bayesian multivariate hierarchical model for developing a treatment benefit index using mixed types of outcomes). Danni Wu, Keith S Goldfeld, Eva Petkova, Hyung Park.

• BMC Infectious Diseases 2024 Association between COVID-19 convalescent plasma antibody levels and COVID- 19 outcomes stratified by clinical status at presentation. Hyung Park, Chang Yu, Liise-anne Pirofski, Hyunah Yoon, Danni Wu, et al.

• BMC Medical Research Methodology 2023Developing a Bayesian hierarchical model for a prospective individual patient data meta-analysis with continuous monitoring. Danni Wu, Keith S Goldfeld, Eva Petkova.

• Statistics in Medicine 2021(Top downloaded article certificate) Prospective individual patient data meta-analysis: evaluating convalescent plasma for COVID-19. Keith S Goldfeld, Danni Wu, Thaddeus Tarpey, Mengling Liu, Yinxiang Wu, Andrea B Troxel, Eva Petkova.

• JAMA Network Open 2022 Development and validation of a treatment benefit index to identify hospitalized patients with COVID-19: who may benefit from convalescent plasma. Hyung Park, Thaddeus Tarpey, Mengling Liu, Keith Goldfeld, Yinxiang Wu, Danni Wu, et al.

• JAMA Network Open 2022 Association of convalescent plasma treatment with clinical status in patients hospitalized with COVID-19: a meta-analysis. Andrea B Troxel, Eva Petkova, Keith Goldfeld, Mengling Liu, Thaddeus Tarpey, Yinxiang Wu, Danni Wu et al.

• JAMA Internal Medicine 2021 Efficacy and safety of COVID-19 convalescent plasma in hospitalized patients: a randomized clinical trial. Mila B Ortigoza, Hyunah Yoon, Keith S Goldfeld, Andrea B Troxel, Johanna P Daily, Yinxiang Wu, Yi Li, Danni Wu, et al.

• Statistics in Bioscience 2023Bayesian index models for heterogeneous treatment effects on a binary outcome. Hyung G Park, Danni Wu, Eva Petkova, Thaddeus Tarpey, R Todd Ogden.

• World Latest Medicine Information 2018Research on the use of electronic health records in hospitals. Danni Wu, Wentao Wu, Wenjuan Luo.

• China Health Industry 2018 The impact of health information system on the quality of healthcare. Danni Wu, Wentao Wu, Wenjuan Luo.

📖 Educations

• 2019.09 - 2024.01, Ph.D. in Biostatistics, Grossman School of Medicine, New York University
• 2017.09 - 2018.12, M.S. in Biostatistics and Data Science, Weill Cornell Medicine, Cornell University
• 2013.09 - 2017.06, B.S. in Applied Statistics, Central University of Finance and Economics

💬 Invited Talks

Invited talk

• 2022.03, Eastern North American Region (ENAR), The COMPILE consortium: statistical design innovation and implementation in the time of a pandemic
• 2022.02, I-HDS Seminar Series in Icahn School of Medicine at Mount Sinai, Prospective individual patient data meta-analysis: evaluating convalescent plasma for COVID-19
• 2022.10, BAYES, Developing a Bayesian hierarchical model for a prospective individual patient data meta-analysis with continuous monitoring

Contributed talk

• 2021.10, Women in Statistics and Data Science Conference (WSDS), Prospective individual patient data meta-analysis: evaluating convalescent plasma for COVID-19
• 2021.08, the Joint Statistical Meeting (JSM), Novel approaches for handling complex data in treatment diagnosis and evaluation

Poster

• 2023.07, Thomas R. Ten Have Symposium, Developing a Bayesian hierarchical model for a prospective individual patient data meta-analysis with continuous monitoring
• 2022.06, International Society for Bayesian Analysis (ISBA), Developing a Bayesian hierarchical model for a prospective individual patient data meta-analysis with continuous monitoring

💻 Working experience

-2024.03 - present, Senior Statistician/Research Associate, Harvard University, Boston

• 2023.06 - 2023.08, Biostatistics and Statistical Programming Intern in the Oncology group, Moderna, Boston