Yu Wang is a computational social scientist and sport programmer with a research focus on deep learning and international relations. Yu has a PhD in Political Science and Computer Science. He is working at Apple as a research scientist and is a reviewer for IEEE Transactions on Knowledge and Data Engineering, Journal of Information Technology & Politics, KDD 2019, ICWSM, the Chinese Journal of International Politics and Political Analysis.

0) Our Trends and Friends app is released; 
1) Top graduate student in the deep learning class Spring 2017;
2) Two papers accepted by Social Informatics 2017;
3) Three papers accepted by SBP-BRiMS 2017
4) On May 15th Yu joined Laserlike in Mountain View as a software engineer;
5) Yu is on the program committee of NECO 2017. Submissions welcome!
6) New manuscript accepted by Frontiers in Psychology;
8) Yu enters Simon Business School to serve as a TA for CIS 442 Advanced Business Analytics;

Upcoming activities:
1) Yu presents election-series papers at ICWSM in Cologne, Germany, May;
2) Yu presents a paper on regularized negative binomial regression at PolMeth in Houston, Texas, July;
3) Yu presents a 4th paper on the U.S. presidential election at CIKM in Indianapolis,
Indiana, October;
4) Yu presents his work of pride on AIIB at the University of Pennsylvania on Nov. 5th;
5) Yu presents a paper on Chinese Foreign Direct Investments at IPES in Durham, 
North Carolina, in November;
6) Yu presents 3 papers on the U.S. presidential election at BigData 2016 in Washington DC, in December; 
7) Yu presents a paper on the U.S. presidential election at ISM2016 in San Jose, California, in December;
8) Yu presents his work of pride on AIIB at the 10th Conference on the Political Economy of International Organizations at the University of Bern, Switzerland, in Janurary, 2017;
9) Yu presents his work at SBP-BRiMS 2017, Washington DC, in July;
10) Yu dreams;

Tel: 585-287-3455
Email: w.y@alum.urmc.rochester.edu
Rookie Scholar: https://scholar.google.com/citations?user=YGNgQSgAAAAJ

La vie est belle.

Yu Wang,
Feb 7, 2017, 1:10 PM