On behalf of the Department of Statistics & Probability (STT) at Michigan State University I welcome you as graduate director.
Statistics is the science of learning from data. With rapid breakthroughs in technology, data are generated at an unprecedented pace in every discipline. We are surely into an era of data explosion, which brings enormous opportunities for our profession, while presenting daunting challenges for statistical modeling and inference. STT is an energetic community of scholars. Our faculty are striving toward solving important theoretical and real-world problems of our time, while making our expertise available to serve the needs of our graduate students, and educate the next generation of statisticians.
Our graduate program aims to provide a strong, rigorous, and quality curriculum that prepares students to enter the professional workforce, either in industry, academia, or government and public service. The department has a long tradition of being theory-oriented, which guarantees a great deal of rigor in the training of our grad students. At the same time, we are making great efforts to broaden our scope. We now cover a variety of areas in modern statistics, in methodology, computation, and applications, while maintaining our high standards. We continue to be proud of the robust emphasis we pursue in probability theory and stochastic processes, as the only department in the country whose name reflects all of probability. Our students receive world-class level training in theory and methodology, and are highly sought after by leading industrial employers and high-ranking academic department throughout the US.
If you are considering a future career in the sciences of statistics and probability, or if you are a current student looking to fulfill requirements for your course study, I encourage you to look into our webpages which provides useful information about our M.S. and Ph.D. programs. If you have chosen or will choose our program, we hope it will equip you with powerful skills for a lifelong benefit to your career and intellectual growth. We think your study at MSU will leave you with the most cherishable memories in your life as a scholar.
The MSU Graduate School provides a public demographic description of our PhD program, along with information on percent of applicants admitted, degree completion, time to degree, and placement data. See: https://grad.msu.edu/apply/phddata.
Again, I am delighted to have the opportunity to welcome you to our program, and invite you to explore our campus, student activities, and research pursuits.
Yuehua Cui, Ph.D., Professor and Graduate Director
Director of Graduate Education
Department of Statistics
Michigan State University
C415 Wells Hall
East Lansing, MI
Phone: (517) 353-3233
Fax: (517) 432-1405
STT Instructor Dola Pathak, Phd., was awarded the 2022 College of Natural Science Faculty Teaching Prize in November. Each year, CNS recognizes teaching excellence by awarding the Faculty Teaching Prize to select fixed-term and tenure-system faculty. She was nominated by STT Associate Chair, Dr. Vince Melfi.
Complicated sets of biological data can be challenging to extrapolate meaningful information from. Wanting to find a better way to look at this data led Berkley Walker, assistant professor at the MSU-DOE Plant Research Laboratory (PRL) and the Department of Plant Biology, to team up with statistician and Assistant Professor Chih-Li Sung from the Department of Statistics and Probability.
Arkaprabha Ganguli, STT PhD candidate, received a 2022 IMS International Conference on Statistics and Data Science student travel award to present his work “Feature selection integrated deep learning for ultrahigh dimensional and highly correlated feature space.” In recognition of this award, his name appeared in the first page of the 2022 October/November issue of the IMS Bulletin https://imstat.org/wp-content/uploads/2022/07/Bulletin51_7.pdf .
Congratulations to PhD candidate Sarah Manski for winning first place for her oral presentation at the 2022 Conference on Applied Statistics in Agriculture and Natural Resources in May at Utah State University in Logan, Utah.
Institution: University of Southern California
Title: Neyman-Pearson and Equal Opportunity: When Efficiency Meets Fairness in Classification
Date: February 7, 2023
Location: C405 Wells Hall, Simulcast to Zoom (Click here for meeting details)
Time: 11:00 AM - 11:50 AM Eastern Time
Institution: University of Toronto
Title: The Promises of Parallel Outcomes
Date: February 9, 2023
Location: C506 Wells Hall, Simulcast to Zoom (Click here for meeting details)
Time: 10:20 AM - 11:10 PM Eastern Time