Data Science Seminar
Instructor : Jeff Phillips
Spring 2018 | Thursday 12:15 pm - 1:30 pm
Location : MEB 3147 (LCR)
Catalog number: CS 7941 01

This is the Data Science Seminar. Students enrolled in CS 7941 will hear and present cutting edge research in data science (including topics on data mining, machine learning, databases, and algorithms). This can be taken for 1-3 credits (consult with instructor before registering for more than 1), depending on how many presentations you will give. All are welcome to attend.
Date Topic Speaker
Thur 1.11 (2:30, JWB 335) Statistical and Algorithmic Robustness in Data Assimilation, Inverse Problems, and Machine Learning. Daniel Sanz-Alonso
Thur 1.18 Using Persistent Homology to Improve Graph Visualization Tools Paul Rosen
Thur 1.25 Review of SODA conference Micheal, WaiMing, and Pingfan
Thur 2.01 A User's Guide to Discrete Stratified Morse Theory Bei Wang
Thur 2.08 Innovating at the Intersection of Neuroscience and Computational Science Neda Nategh
Thur 2.15 Algorithms for Predictive Policing Suresh Venkatasubramanian
Thur 2.22 The Utah Population Database Ken Smith
Thur 3.01
Various other talks this week
Fri 3.02 (2pm in WEB 3780) Cataloging the Visible Universe through Approximate Bayesian Inference Jeff Regier
Thur 3.08 (WEB 3780) Faculty Candidate Talk
Thur 3.15 The promise of personalized health care: Why we need more data scientists Heidi Hanson
Thur 3.29 (WEB 3780) Faculty Candidate Talk
Thur 4.05 BS Theses : Analyzing Simultaneous Iteration + Data-driven Secret Santa Benwei Shi + Giorgi Kvernadz
Thur 4.12 Fairness Learning in Semi-Supervised Setting Jie Zhang
Thur 4.19 (2:15, MEB 3515) PhD Proposal Wai Ming Tai