Interests: Machine Learning, Data Mining and Predictive Analytics Specialties: Computational Advertising, Targeting and Personalization, Preference Learning and Ranking, Fault Detection and Diagnosis, Convex Optimization, Online Learning of Streaming Data Program Languages and Tools: Python (4 years), Pig (3 years), Hadoop (3 years), C and C++ (5+ years), R (2+ year), Matlab (7+ years), Java (3+ years), Perl (3 years) Bio: I joined Yahoo! Labs as a Scientist in September 2012. Since then, I have been working in the Targeting Science group on projects such as Large-scale Behavioral Targeting, Lookalike Modeling, Tumblr Monetization, Email Monetization, Email Categorization and most recently on Query to Ad matching in Sponsored Search. Some of my biggest accomplishments include building a large scale Interest and Gender Ad Targeting pipeline for Tumblr Sponsored Posts, and training email classifiers, which are part of Yahoo Mail Smart Views that millions of people interact with every day. I received my PhD from the Department of Computer Science at Temple University in Philadelphia. My thesis work was on Machine Learning applications in Decentralized Fault Detection and Diagnosis. During my PhD studies I worked in the areas of Sparse Principal Component Analysis, Ensemble Methods, Preference Learning and Ranking, Memory Constrained Data Mining and Constrained Convex Optimization, and was a Research Intern at Xerox Research Labs Europe, ExxonMobil and Akamai. My current research interests lie in Ad Targeting, Monetization, Web Search and Data Mining.

Senior Research Scientist @ Computational Advertising, Ad Targeting, User Modeling, Recommendation Systems, Look-alike modeling, Purchase Prediction Working on: 1) Behavioral targeting of Yahoo users 2) Tumblr Monetization and Ad Targeting 3) Email Monetization 4) Sponsored search query to ad matching From March 2015 to Present (10 months) Research Scientist @ Targeting and Personalization, Computational Advertising, Matching on-line advertisements to a particular target audience, Ads targeting, Look-alike modeling Working on: 1) Large-scale behavioral targeting on 700M Yahoo! users. Main responsibility: improving performance and scalability of distributed system for targeting users for ads (look-alike modeling, feature selection, feature construction, integrating new data sources), 2) Ad latency (identifying causes of ad latency using Machine Learning), 3) Smart folders - automatic categorization of emails into categories (shopping, travel, financial, etc.) From September 2012 to Present (3 years 4 months) Research Intern @ Computational advertising. Ads modeling. Applying machine learning to online advertisement. PROJECT: Feature Selection for Display Advertising Purchase Prediction From June 2012 to September 2012 (4 months) Greater Boston AreaResearch Assistant @ Research under Prof. Slobodan Vucetic’s supervision, mainly focusing on Memory Constrained Data Mining, Machine Learning application to Fault Detection, Diagnosis and Concept Change in Industrial Systems as well as Preference Learning and Ranking Research Assistant for Multi agent-based Oil-refinery System Analysis and Intelligent Control project (funded by ExxonMobil) Research Assistant for NSF Memory Constrained Predictive Data Mining project IIS-0546155 From September 2007 to August 2012 (5 years) Research Intern @ Supported by ExxonMobil as an intern working on contributing to the development of an interactive machine learning platform. Working on clustering and segmentation of large-scale data. Concentrating on applications of Sparse Principal Component Analysis in specialized clustering and segmentation algorithms. From February 2012 to May 2012 (4 months) Research Scientist Intern @ Urban transport networks operational data analysis. (Internship focused on understanding demand patterns for on-street parking and working on price learning models for these settings) From May 2011 to September 2011 (5 months) Grenoble Area, FranceTeaching Assistant @ Teaching Assistant for various courses: CIS 4329 - Network Architectures (Spring 2008, Fall 2008, Spring 2009, Fall 2011) CIS 4378 - Intro to Computer and Network Security (Spring 2009) CIS 4319 - Networks and Communication (Spring 2008, Fall 2008) From January 2008 to September 2011 (3 years 9 months) Greater Philadelphia AreaResearch Scientist Intern @ Research Assistant for “Image Identification using Hashing” project, Signal and Image Processing Lab, Department of Electrical Engineering From June 2004 to October 2004 (5 months)

PhD, Machine Learning and Data Mining, 3.94 out of 4 @ Temple University From 2007 to 2012 Master, Electrical Engeneering (Telecommunications), 9.82 out of 10 @ Faculty of Technical Sciences, University of Novi Sad From 2001 to 2007 Mihajlo Grbovic is skilled in: Machine Learning, Data Mining, Algorithms, Computer Science, Matlab, Hadoop, Data Analysis, Objective-C, R, C++, Artificial Intelligence, Java, Pattern Recognition, Signal Processing, Big Data