Statistical Science Proseminar

The 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

Instructor: Funda Gunes
Day/Time: Wednesday, 3:30 pm to 4:45 pm US Eastern

Upcoming Proseminar Events

Old Chemistry 116

Statistical Science Master's StudentsEmre Yurtbay, Facebook, Lingyu Zhou, Voya Financial , Michael Sarkis, 2nd Order Solutions, Madeleine Beckner, Lubrizol , Jack McCarthy, Autodesk, Rob Kravec,… read more about Internship Lightning Talks »

Old Chemistry 116

Farnoosh Brock, Trainer and Coach, Farnoosh Brock, read more about Communicating Effectively in a Professional Setting »


Gong Jessie, UT Austin Bo Liu, Duke Morris Greenberg, U Toronto Gauri Kamat Christine Shen, Duke read more about Ph.D. Career Panel »


Past Proseminar Schedules/Events

Funda Gunes
Syllabus and Career Resources (MSS tracks/events/interviews etc.)

Aug. 25, 2021

Dr. Funda Gunes, Director of Master's Program, Duke Statistical Science
Duke Career Center Resources and Thompson Writing Program Resources

Sep. 1, 2021

Catherine L. Allen, Career Specialist, Duke Career Center 
Dr. Aaron Colton, Lecturer, Thompson Writing Progra
Liberty Mutual
Liberty Mutual Overview

Sep. 8, 2021

Eden Huang, Data Scientist, Liberty Mutual     
Daniel McCarthy, Senior Campus Recruiter, Liberty Mutual


Collaborative Research at Duke

Jan. 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 disease

Feb. 3, 2021

Dr. Michael Lutz, Associate Professor, Department of Neurology, Duke University School of Medicine
Increasing Trust and Interpretability in Machine Learning with Model Debugging

Feb. 10, 2021

Patrick Hall, Principal Scientist,
Elder and Keiter
Top 3 Things I've Learned in 3 Decades of Data Science

Feb. 17, 2021

Dr. John Elder, Founder & Chair, & Kimberly Kaiter, Data Scientist, Elder Research
Delivering Successful Presentations

Feb. 24, 2021

Dr. Melissa Bostrom, Assistant Dean for Graduate Student Professional Development, Duke Career Center
Statistics in the Government: Transparency, Leadership, and Collaboration

Mar. 3, 2021

Dr. Simone Gray, Sr. Statistician, Center for Disease Control and Prevention
Dickerson and Kulkarni
Analytical Life Cycle of Model Development at Discover Financial Services

Mar. 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 sciences

Mar. 24, 2021

Dr. Surya Tokdar, Associate Professor, Duke Statistical Science
Introduction to Mathematical Optimization

Apr. 7, 2021

Dr. Matt Galati, Distinguished Operations Research Specialist, SAS Institute
Project Phoenix: Predicting AAP sales under COVID

Apr. 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