Curriculum Vitae
Alexander Johannes Smola
VP / Distinguished Scientist
Amazon Web Services
Santa Clara, CA
Career
| 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 |
Grants
| 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 |
Books
| 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 |
Education
| 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.
Publications
My publications can be found at Google Scholar. I have published over 200 papers, attracting over 150k citations with an h-index of 133.