Deepayan Chakrabarti

Assistant Professor at McCombs School of Business

Schools

  • McCombs School of Business

Links

Biography

McCombs School of Business

Biography

Deepayan received his M.S. and Ph.D. in Computational and Statistical Learning from Carnegie Mellon University in 2005, after a B.Tech. in Computer Science from IIT Kanpur in 2000. He subsequently worked at Yahoo! Research and Facebook, before joining the McCombs School of Business at the University of Texas, Austin as an Assistant Professor in 2014. He has authored about 40 peer-reviewed publications, 20 patents, 3 book chapters, and 1 book. He is a Siebel Scholar (class of 2002). his COLT 2010 paper received the best student paper award, and his R-MAT graph generator is the basis for the Graph500 supercomputer benchmark.

He works on a broad range of problems in Machine Learning and Data Mining, particularly focusing on mining large graphs and social networks, computational advertising, recommendation systems, and web search and information retrieval.

Read about executive education

Other experts

Claire Collins

Claire Collins is the Director of the DBA Programme and Subject Area Leader for Leadership & Change. She researches and teaches Leadership and Leadership Development with a special interest in Coaching Leaders, Positive Psychology, Leadership Derailment and Women in Leadership. She has exper...

Regina (Gina) Eckert

Gina is a scientist-practitioner and applies her research knowledge and findings in customized leadership programs for diversity, women leadership, and global top talent development for clients across the EMEA region. Together with Philips and Wharton, she co-wrote the winning case in the 2011 EF...

Manel Peiró Posadas

Education Doctor en Administració y Direcció d'Empreses. ESADE - Universitat Ramon Llull Licenciado en Medicina y Cirugía. Universitat Autònoma de Barcelona Areas of interest Organisational design Health organisation management Professional management He is currently Director of the Institut...

Looking for an expert?

Contact us and we'll find the best option for you.

Something went wrong. We're trying to fix this error.