Curriculum Vitae

Alexander Johannes Smola
VP / Distinguished Scientist
Amazon Web Services
Santa Clara, CA


2021 Stanford, Adjunct Professor
2019-20 UC Berkeley, Adjunct Professor
since 2016 Amazon Web Services, Santa Clara, VP / Distinguished Scientist
2015-16 Marianas Labs, CEO / Co-founder
2013-17 Carnegie Mellon University, Full Professor
2012-14 Google Research, Visiting Scientist
2012-13 UC Berkeley, Adjunct Professor
2008-12 Yahoo! Research, Santa Clara, Principal Research Scientist
2004-08 NICTA, Canberra, Senior Principal Researcher
2004-08 Australian National University, Adjunct Full Professor
2001-04 Australian National University, RSISE, Group Leader
1999-01 Australian National University, Postdoctoral researcher
1996-99 GMD FIRST, Berlin, PhD student
1995-96 AT&T Research, Holmdel, Intern


2009-11 ARC (PI): Machine Learning in the Multicore Area with Prof. Rendell
2007-09 ARC (PI): Unifying Machine Learning with Prof. Williamson
2003-05 ARC (CI): Computer Vision and Machine Learning with Prof. Hartley
2003-05 ARC (CI): Network Intrusion Detection via Machine Learning
2002-04 ARC (PI): Machine Learning with Prof. Williamson and Dr. Mendelson
2001 ARC FRGS (PI): Finding Genes with Kernel Methods
2000 ARC FRGS (PI): Unsupervised Learning with Kernels
1999-01 ARC (PI): Large Margin Classifiers with Prof. Bartlett and Prof. Williamson
1999-01 Telstra Research: Machine Learning and Data Mining
1999-01 Postdoc (DFG): Applicable Learning Theory


2020 Dive into Deep Learning, Zhang, Li, Lipton, Smola)
2007 Predicting Structured Data, Bakir, Hofmann, Schölkopf, Smola, Taskar and Vishwanathan
2003 Machine Learning, Mendelson and Smola
2002 Learning with Kernels, Schölkopf and Smola
2000 Advances in Large Margin Classifiers, Smola, Bartlett, Schölkopf, Schuurmans
1999 Advances in Kernel Methods, Schölkopf, Burges, Smola


1997-98 TU Berlin, PhD in Computer Science (summa cum laude) on Learning with Kernels with Prof. K.-R. Müller
1995-96 AT&T Bell Labs, Thesis on Regression with SV Machines with Prof. V. Vapnik
1994-96 Technische Universität München, best in class Physics MA
1993-94 Universita degli Studi di Pavia, exchange student
1991-93 Technische Universität München, best in class Physics BA

Workshops, Summer Schools and Conferences

I have organized summer schools in 2002, 2003, 2004, 2005, 2006, 2008, 2010, 2015 (Machine Learning Summer School). Moreover, I organized workshops in 1997, 1998, 2002, 2004, 2007, 2009, 2010, 2011, 2012, 2013, 2015 (NIPS), 2010 (SIGIR). I was Program Chair for KDD 2016 and General Chair for MLSys in 2020.


My publications can be found at Google Scholar. I have published over 200 papers, attracting over 150k citations with an h-index of 133.