In an impressive display of academic excellence, thirteen students from the Master of Statistical Science (MSS) program have been honored with the prestigious Dean's Research Award this semester. This coveted award serves as a springboard for students, providing them with essential funding to dive deeper into their research pursuits. It covers a range of critical needs, from acquiring necessary research tools and programs to attending influential conferences. Such support is crucial in enhancing the students' academic journey and professional development.
The research topics chosen by these awardees are as diverse as they are impactful. They range from exploring statistical methods to address complex immunology and biological challenges to delving into the intricate relationship between statistics and ecology. Additionally, some students are focusing on mathematical modeling, contributing to the vital global conversation on climate change. These varied research areas highlight the MSS program's breadth and its emphasis on addressing real-world problems through statistical science.
This achievement is not just a testament to the students' hard work and innovative thinking but also to the dedicated mentorship and guidance provided by the MSS faculty. The faculty's commitment to nurturing the next generation of statisticians and data scientists has been pivotal in these students reaching this milestone. This achievement also underscores the program's commitment to fostering cutting-edge research and academic growth for the Master's students.
We extend our heartiest congratulations to the following students for their remarkable achievements and wish them success in their research endeavors. Their work exemplifies the program's spirit of inquiry and dedication to making a meaningful impact through statistical science:
Linxuan Wang
Non-linear Formulation and Sparse Learning of Joint Quantile Planes Estimation
Advisor(s): Dr. Surya Tokdar
Yanjiao Yang
Combining auxiliary marginal distributions with nonparametric methods in imputations for nonresponse
Advisor(s): Dr. Jerry Reiter
Yuchen Bi
Antibody repertoires clone partition
Advisor(s): Dr. Scott Schmidler
Min (Jackson) Chen
Temporal epidemic modeling,
Advisor(s): Dr. Jason Xu and Dr. Raphael Morsomme
Minhui Jiang
improving the Markov Chain Monte Carlo (MCMC) method to efficiently sample from truncated log-concave dis-improving the Markov Chain Monte Carlo (MCMC) method to efficiently sample from truncated log-concave distributions
Advisor(s): Dr. Yuansi Chen
Yinyihong Liu
Presentation, paper, and presentation materials
Advisor(s): Dr. Beka Steorts
Haoxuan Wang
Exploration of extensive bird species annotation data collected from the Finnish Kerttu web portal
Advisor(s): Dr. David Dunson
Yicheng Shen
Newer and more reliable methods of quantitatively estimating users’ ideological beliefs on social media platform
Advisor(s): Dr. Alexander Volfovsky
Zihan Zhu
Online Performative Gradient Descent for Learning Nash Eqwltbria in Decision-Dependent Games
Advisor(s): Dr. Ethan X. Fang
Xin Gai
Household Transmission of SARS-CoV-2 along the Evolution of Pandemic
Advisor(s): Dr. Anru Zhang
Kyungeun Jeon
ENAR – A Home for Every Biostatistician
Advisor(s): Dr. Yue Jiang and Dr. Hwanhee Hong
Hao Wang
Gene expression prediction
Yicheng (Catherine) Wang
Climate change research
