Data Scientist Panel
Details
Our next data io meetup is a special collaboration with the good people at Chartio (http://chartio.com). We'll be hosting a panel of three data scientists from the fields of marketing, journalism, and web crawling. Join us for a discussion around the use of data for real-world applications.
SCHEDULE
6:30 - 7:00 Registration, networking and pizza
7:00 - 7:45 Panel discussion
7:45 - 8:30 Networking and drinks
PANEL SPEAKERS
Brian Abelson: OpenNews Fellow, NYTimes
Brian's a statistician, journalist, and hacker. He's currently a 2013 Mozilla-Knight OpenNews fellow at the New York Times where he's developing methods for measuring impact in journalism. Before that he was a data scientist at the Harmony Institute, a non-profit dedicated to measuring the influence of socially-driven media. He recently graduated with a MA in Applied Statistics from Columbia University where he focused on quantitative and computational approaches to social science. On the side, he edited a book for a prominent political scientist, participated in hackathons, and worked on investigative news stories. Brian is also the co-founder of csv soundsystem, a hacker collective and datathon dream-team based in New York.
Burton DeWilde: Data Scientist, Harmony Institute
Burton DeWilde is passionate about social justice, the intersection of art and science, and all things data. He is a data scientist working at Harmony Institute, a non-profit research center dedicated to understanding the influence of entertainment media on individuals and society. He received his PhD in particle physics from Stony Brook University in 2012; his research focused on searches for new fundamental particles of matter, including the Higgs Boson, using data collected at the Large Hadron Collider. He also helped develop two physics software analysis frameworks. On the side, Burton pals around with data collective csv soundsystem and co-produced/filmed/edited a feature-length, physics-themed zombie movie called “Decay."
Thomas Levine: Data Science Consultant
Thomas Levine has a serious passion for efficiency and works in ergonomics research and data science. Thomas used to work at Scraperwiki, a web based platform, or data hub, where programmers write scripts to retrieve, clean, and analyze data sets.
Claudia Perlich: Chief Scientist, media6degrees
Claudia Perlich is a recognized data scientist who currently serves as Chief Scientist at media6degrees. In this role, Claudia designs, develops, analyzes and optimizes the machine learning that informs brands on how to find their best prospective customers. She and the team of media6degrees scientists live and breathe web-wide data to fuel new business and marketplace intelligence. An active industry speaker and frequent contributor to industry publications, Claudia thrives on serving as a guide in world of data. She has been published over 30 scientific articles, and holds multiple patents in machine learning. She has won many data mining competitions, including the prestigious KDD Cup three times for her work on movie ratings in 2007, breast cancer detection in 2008, and churn and propensity predictions for telecom customers in 2009, as well as the KDD best paper award for data leakage in 2011 and inventory optimization in 2012.
Prior to joining media6degrees in February 2010, Claudia worked in Data Analytics Research at IBM’s Watson Research Center, concentrating on data analytics and machine learning for complex real-world domains and applications. Claudia has a PhD in Information Systems from NYU and an MA in Computer Science from Colorado University. She continues to give back and share her insight teaching in the NYU Stern MBA program.
https://sites.google.com/site/claudiaperlich/home/
Moderated by Caleb Poterbin: Marketing and Design, Chartio.com
Caleb Poterbin joined Chartio from Splunk, where he worked in marketing and design. He leads Chartio's marketing and design efforts and holds the title of hipster-in-residence. A native Kansan, Caleb is also a musician, surfer, and one-time semi-competitive eater.