Statistical ScienceThe proseminar course – STA 581 – includes informational seminars from experts from inside and outside of Duke University, including faculty, industry professionals, career center staff, and administrators from institutes and centers around Duke.
Students learn various ways to apply their degree, strategies for getting the most out of their two-year program, types of internships and career options, methods to apply for jobs/internships, communication, presentation, leadership coaching, and more.
The course format is mostly interactive; however, sometimes, the presentations may be lecture-style followed by questions. Many students have found job and internship opportunities after networking with our featured speakers.
The students registered for the proseminar course expected to attend and actively participate in all sessions. Some proseminar sessions are open to all StatSci students and faculty. If any StatSci student or faculty member wishes attend a proseminar, please email stat-msd@duke.edu.
Instructor: Funda Gunes
Day/Time: Wednesday, 3:30 pm to 4:45 pm US Eastern
Upcoming Proseminar Events
There are no upcoming events at this time.
Past Proseminar Schedules/Events
 Collaborative Research at DukeJan. 27, 2021 Dr. Gina-Maria Pomann, Director; Duke CTSI Biostatistics, Epidemiology and Research Design (BERD) Methods Core |
 Building a better mouse model of Alzheimer’s diseaseFeb. 3, 2021 Dr. Michael Lutz, Associate Professor, Department of Neurology, Duke University School of Medicine |
 Increasing Trust and Interpretability in Machine Learning with Model DebuggingFeb. 10, 2021 Patrick Hall, Principal Scientist, bnh.ai |
 Top 3 Things I've Learned in 3 Decades of Data ScienceFeb. 17, 2021 Dr. John Elder, Founder & Chair, & Kimberly Kaiter, Data Scientist, Elder Research |
 Delivering Successful PresentationsFeb. 24, 2021 Dr. Melissa Bostrom, Assistant Dean for Graduate Student Professional Development, Duke Career Center |
 Statistics in the Government: Transparency, Leadership, and CollaborationMar. 3, 2021 Dr. Simone Gray, Sr. Statistician, Center for Disease Control and Prevention |
 Analytical Life Cycle of Model Development at Discover Financial ServicesMar. 17, 2021 Dr. Steven Dickersen, Chief Analytics Officer, & Dr. Raghu Kulkarni, VP of Data Science, Discover Financial Services |
 Applications of Bayesian function estimation in neuroscience and environmental sciencesMar. 24, 2021 Dr. Surya Tokdar, Associate Professor, Duke Statistical Science |
 Introduction to Mathematical OptimizationApr. 7, 2021 Dr. Matt Galati, Distinguished Operations Research Specialist, SAS Institute |
 Project Phoenix: Predicting AAP sales under COVIDApr. 14, 2021 Advance Auto Parts Team: Sukanya Chaudhuri, Sr. Manager, Marketing Analytics & Data Science; Scott Smith, Data Scientist, Data Science; Joan Pharr, Associate Data Scientist, Marketing Analytics & Data Science; Justin Ward, Marketing Analyst, Marketing Analytics & Data Science; Liping Wu, Data Scientist, Marketing Analytics & Data Science; Kristen Biddle, Data Scientist, Data Science |