DataVisor Tech Talk

Information Session | November 6 | 6-8 p.m. | Soda Hall, Wozniak Lounge (430)

 Electrical Engineering and Computer Sciences (EECS)

Come listen to engineers at DataVisor talk about the challenging fraud detection problems they’re solving every day.

DataVisor is a next generation security company that utilizes industry leading unsupervised machine learning to detect fraudulent activity for financial transactions, mobile user acquisition, social networks, commerce and money laundering. Their solution is used by some of the largest internet properties in the world, including Yelp, Pinterest, Momo, King and IGG, to protect them from the ever-increasing risk of fraud. They are hiring across the board for software engineer, machine learning researcher/engineer, and data science roles for interns and full time!

About the Speaker:
Fang Yu is the cofounder and CTO of DataVisor, where her work focuses on big data for security. Previously, she was at Microsoft Research Silicon Valley, where she developed new technologies and systems to help various Microsoft internal teams such as Hotmail, Bing, Xbox etc. Over the past 10 years, Fang has developed algorithms and built systems for identifying various kinds of malicious traffic including worms, spam, bot queries, faked and hijacked account activities, and fraudulent financial transactions. Fang received her PhD degree from the University of California, Berkeley and holds over 20 patents.

Resumes accepted and dinner will be provided!

 xrg@eecs.berkeley.edu