Diverse Disciplines: Lucia Titus ’18

The Institute’s admissions team regularly receives inquiries from prospective students along the lines of: “I’m interested in the MSA program, but I’m a ________ major. Do I even have a chance of being admitted?” One can fill in that blank with any number of disciplines — marketing, physics, textile engineering Continue reading Diverse Disciplines: Lucia Titus ’18

Team of IAA Students Among Finalists at 2018 ASA Duke DataFest

The IAA team of Daniel Li, Veer Gupta, Idrees Hussain, Emily Hadley, and Matias Avila were among the 9 finalist teams in a field of over 80 teams at the 2018 Duke DataFest. We were commended for our presentation skills and analysis. The 2018 ASA Duke Datafest (https://www2.stat.duke.edu/datafest/) began on Continue reading Team of IAA Students Among Finalists at 2018 ASA Duke DataFest

Alumni Interview: Arri Landsman Roos

“I knew there were techniques that were suited to the problems that I wanted to solve, so I chose to seek out a place where I could learn those techniques.” Arri Landsman-Roos is a 2013 graduate of the Institute for Advanced Analytics. Currently, he is the Vice President of Decision Continue reading Alumni Interview: Arri Landsman Roos

Datalines: An Interview with Maia Majumder

“Novel data streams allow us to see what’s happening in areas where traditional disease surveillance is weak. As internet penetration around the world improves, we are getting better signal in more places.” Maia Majumder is a computational epidemiology research fellow at HealthMap and a PhD candidate at MIT. In our Continue reading Datalines: An Interview with Maia Majumder

3 Students Compete at The Data Open

On February 3, 2018, three IAA students participated in The Data Open hosted by Correlation One and Citadel at Duke University. The three students – Alex Christian, Nikhil Prasad, and Emily Hadley – were among 96 students chosen from over 400 applicants who completed a rigorous placement test. They teamed up Continue reading 3 Students Compete at The Data Open