WiDS Ames
Date: April 21, 2022
Time: 2:00 pm - 5:00 pm CST
Location: Zoom (Register to receive link)
WiDS Ames is an independent event that is organized by Iowa State University WiDS Ambassadors as part of the annual WiDS Worldwide conference organized by Stanford University and an estimated 150+ locations worldwide, which features outstanding women doing outstanding work in the field of data science. All genders are invited to attend all WiDS Worldwide conference events.
This event is supported in part by the Department of Computer Science, the CS Graduate Student Organization, the HDR:TRIPODS D4 (Dependable Data Driven Discovery) Institute and CSAFE: Center for Statistics and Applications in Forensic Evidence
ISU WiDS Ambassadors: Adithya Kulkarni, Usman Gohar, Nasim Sabetpour, Eshita Zaman, Akash Dutta, Muskan Tantia, Haniyeh Fekrmandi, Fateme Fotouhi, and Sumon Biswas
Agenda Coming Soon
| Start Time | Event | Speaker | Title of Presentation |
| 2:00-2:10 | Opening | Nicole Lewis | |
| 2:10-2:40 | Keynote Speaker | Elizabeth Munch | "Making Space and Studying Shape in a Non-Traditional Academic Setting" |
| 2:40-3:00 | Speaker from Academia | Bei Wang | "Exploring the Shape and Activations in Deep Learning Using Topology" |
| 3:00-3:10 | Break | ||
| 3:10-3:30 | Speaker from Academia | Yusu Wang | "Geometric and Topological Data Analysis in Modern Data Science" |
| 3:30-3:50 | Speaker from Academia | Qiaomin Xie | "Reinforcement Learning for Stochastic Network Control" |
| 3:50-4:00 | Break | ||
| 4:00-4:20 | Speaker from Industry | Jennifer Bryson | "My Experience Transitioning From Grad School to a Data Scientist" |
| 4:20-4:40 | Speaker from Industry | Saba Moeinzade | "Data Science and Analytics at J&J" |
| 4:40-5:00 | Speaker from Industry | Yasaman Esfandiari | "Are Deep Learning Algorithms Safe to be Used at Large Scale: Challenges and Solutions" |