I am currently a senior applied scientist at Turn Inc.

 I worked as applied scientist in Advertising Sciences at Yahoo! Labs (May-August 2012).

[22] Ali Jalali and Sujay Sanghavi, ``A New Greedy Algorithm for Multiple Sparse Regression,'' 2013. (CODE)

[21] Ali Jalali, Santanu Kolay, Peter Foldes and Ali Dasdan, ``Scalable Audience Reach Estimation in Real-time Online Advertising,'' 2013.

[20] Kuang-Chih Lee, Ali Jalali and Ali Dasdan, ``Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising,'' 2013.

[19] Ali Jalali, Javad Azimi, Xiaoli Fern and Ruofei (Bruce) Zhang, ``Exploration vs Exploitation in Bayesian Optimization,'' 2013.

[18] Ali Jalali and Nathan Srebro, ``Clustering using Max-norm Constrained Optimization,'' ICML, 2012. (CODE) (Poster)

[17] Ali Jalali and Sujay Sanghavi, ``Learning the Dependence Graph of Time Series with Latent Factors,'' ICML, 2012. (CODE) (Poster)

[16] Javad Azimi, Ali Jalali and Xiaoli Fern, ``Hybrid Batch Bayesian Optimization,'' ICML, 2012. (Poster)

[15] Christopher Johnson, Ali Jalali and Pradeep Ravikumar, ``High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods,'' AI STAT, 2012 (Oral Presentation) (Poster) (Slides)

[14] Ali Jalali, Christopher Johnson and Pradeep Ravikumar, ``On Learning Discrete Graphical Models Using Greedy Methods,'' NIPS, 2011. (Spotlight)

[13] Ali Jalali, Yudong Chen, Sujay Sanghavi and Huan Xu, ``Clustering Partially Observed Graphs via Convex Optimization,'' ICML, 2011 (Oral Presentation). (Poster) (Slides)

[12] Yudong Chen, Ali Jalali, Sujay Sanghavi and Constantine Caramanis, ``Low-Rank Matrix Recovery From Errors and Erasures,'' ISIT, 2011. (Slides)

[11] Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki and Sujay Sanghavi, ``On Learning Discrete Graphical Models using Group-Sparse Regularization,'' AI STAT, 2011. (Poster)

[10] Ali Jalali, Pradeep Ravikumar, Sujay Sanghavi and Chao Ruan, ``A Dirty Model for Multitsak Learning,'' NIPS, 2010 (Oral Presentation) (CODE). (Poster) (Slides) --- Journal Version: IEEE Transaction on Information Theory, 2013.

[9] Ali Jalali and Sujay Sanghavi, ``Graph Clustering via Convex Optimization,'' Information Theory Workshop, San Diego, CA, 2010 (invited).

[8] Ali Jalali and David Love, ``Closed-Form Expression for Optimal Two-User MIMO Unitary Precoding,'' IEEE Communications Letters, vol. 13, pp. 251-253, 2009.

[7] Ali Jalali, David Love, Sujay Sanghavi and Bertrand Hochwald, ``Conferencing on Trees,'' Conference on Information Sciences and Systems (CISS'09), Baltimore, MD, Mar. 18 - Mar. 20, 2009.

[6] Chun-Kin Au-Yeung, Ali Jalali and David Love, ``Insights into feedback and feedback signaling for beamformer design,'' in UCSD Information Theory and Applications Workshop, La Jolla, CA, 2009. (invited)

[5] Hossein Ravanbod and Ali Jalali, ``Configurable ultrasonic flaw classification of oil pipelines,'' Part II: Feature Extraction, Classification and Error Verification, Nondestructive Testing and Evaluation, Vol. 23, pp. 77-88, June 2008.

[4] Hossein Ravanbod and Ali Jalali, ``Configurable ultrasonic flaw classification of oil pipelines,'' Part I: Image Acquisition, Pre-processing and Flaw Area and Volume Estimation, Nondestructive Testing and Evaluation, Vol. 23, pp. 43-55, March 2008.

[3] Hossein Ravanbod, Freidoun Behnia and Ali Jalali, ``Determining the required information in scanning of the oil pipelines,'' Sharif Scientific Journal: Electrical and Computer Engineering, Vol. 38, pp. 52-61, 2007. (In Persian)

[2] Ali Jalali and Hamid Sarbazi-Azad, ``The edge product of networks,'' Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'07), pp. 371-375, 2007.

[1] Ali Jalali, Seyyed Morteza Mousavi, Hossein Sameti and Hamid Reza Rabiee, ``A new generalized side-lobe canceller based algorithm for speech enhancement'', in Proceeding of the 15th Iranian Conference in Electrical Engineering (ICEE), Tehran, Iran, 2006. (In Persian)