Biography

Fifth year PhD student in Industrial Engineering and Operations Research at the University of California, Berkeley. My main interests, which I have pursued in my research at Berkeley and at Yahoo (Verizon), are the application of optimization and machine learning techniques in large scale problems such as optimal bidding strategies in online advertising and sparse neural network training. My advisor is Paul Grigas.

As job/academic goals, I’m currently trying to improve my skills as a future data/research scientist and learning more about how economics, optimization and machine learning can be jointly applied in transportation, e-commerce, online-advertising, and other areas.

Best student paper award at the 2018 AdKDD & TargetAd workshop of the conference Knowledge Data Discovery (KDD). Also obtained a travel grant from the OLX group.

Obtained the 2018 Outstanding Graduate Instructor Award, in other words, being in the 10% best rated teacher assistants in my department.

I have been a Graduate Student Instructor (Teaching Assistant) at Berkeley of:

• IEOR 240: Optimization Analytics (Fall 2016, 2017).
• IEOR 290: Modern Optimization for Statistical Learning (Spring 2017, 2018).

• alobos@berkeley.edu
• Etcheverry Bldg. Room 4176, University of California, Berkeley