Arno is the Chief Architect of H2O, a distributed and scalable open-source machine learning platform. He is also the main author of H2O's Deep Learning. Before joining H2O, Arno was a founding Senior MTS at Skytree where he designed and implemented high-performance machine learning algorithms. He has over a decade of experience in HPC with C++/MPI and had access to the world’s largest supercomputers as a Staff Scientist at SLAC National Accelerator Laboratory where he participated in US DOE scientific computing initiatives and collaborated with CERN on next-generation particle accelerators. Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He has authored dozens of scientific papers and is a sought-after conference speaker. Arno was named “2014 Big Data All-Star” by Fortune Magazine and featured by ETH GLOBE in 2015. Follow him on Twitter: @ArnoCandel. Github: https://github.com/arnocandel Twitter: https://twitter.com/ArnoCandel Kaggle: https://www.kaggle.com/arnocandel Slides: http://www.slideshare.net/0xdata/presentations?order=popular Videos: https://www.youtube.com/results?search_query=Arno+Candel H2O Booklets: https://leanpub.com/u/h2oai H2O Training: http://learn.h2o.ai Publications: https://www.researchgate.net/profile/Arno_Candel Publications: https://indico.cern.ch/search?categId=0&sortOrder=d&p=candel&f=&startDate=&endDate= I am honored to be listed as one of the 2014 Big Data All Stars by Fortune Magazine: http://fortune.com/2014/08/03/meet-fortunes-2014-big-data-all-stars/ ETH GLOBE Featured Profile: https://www.ethz.ch/content/dam/ethz/common/docs/media/globe/2015/eth-globe-3-2015-en.pdf KDNuggets interview series: http://www.kdnuggets.com/tag/arno-candel Center for Data Innovation Interview: http://www.datainnovation.org/2015/05/5-qs-for-arno-candel-chief-architect-physicist-and-hacker-at-h2o/

Chief Architect @ 11/9/15: H2O World http://h2oworld.h2o.ai 10/6/15: ETH Alumni Cover Story: https://lnkd.in/bDV-3tV 9/21/15: ETH GLOBE Featured Profile: https://www.ethz.ch/content/dam/ethz/common/docs/media/globe/2015/eth-globe-3-2015-en.pdf 6/3/15: Bay Area Association for Computing Machinery (ACM) Meetup: http://bit.ly/1Ifd4XG Slides: http://bit.ly/1eQGeCL Video: https://www.youtube.com/watch?v=E7aWAf-2N98 6/1/15: Boston Machine Learning Meetup: http://bit.ly/1RLhc6d Slides: http://bit.ly/1eMpvR6 5/31/15: Open Data Science Conference Boston Presentation: http://bos2015.opendatascicon.com/speaker/arno-candel-2/ Slides: http://bit.ly/1eMpvR6 5/26/15: Re:Work Deep Learning Summit Boston Presentation: http://t.co/AMWXIbchMA Slides: http://t.co/oXpUD2fkBJ Overview: https://www.re-work.co/blog/community-news-10-june-15 Video: http://t.co/KaukmZDOXI 5/12/15: GOTO Chicago Presentation: Scalable Data Science and Deep Learning with H2O http://bit.ly/1EAM3dE Slides: http://bit.ly/1G5mLJ4 Video: https://www.youtube.com/watch?v=BYF7Lh3Yy0o 5/5/15: Center for Data Innovation Interview http://bit.ly/1Hgl9O7 From April 2015 to Present (9 months) Physicist & Hacker @ I am responsible for Algorithms & Deep Learning at H2O.ai. 3/25/15: Meetup http://bit.ly/1DLr4K5 Slides: http://t.co/QW383JxfT8 Video: http://bit.ly/1IM35YX 3/11/15: Meetup http://bit.ly/1D8usOc Slides: http://bit.ly/1wwR4Wg Video: http://t.co/o7p2hYcWgy 2/27/15: The Definitive Performance Tuning Guide for H2O Deep Learning http://h2o.ai/blog/2015/02/deep-learning-performance/ 2/26/15: Adobe Text Analytics Mini Summit, San Francisco 2/12/15: Meetup Slides: http://bit.ly/1LAKIXt Video: http://bit.ly/1LERAoL 1/20-22/15: #1 Top Story of the week: KDNuggets Interview (3 parts): http://www.kdnuggets.com/tag/arno-candel 1/17/15: Next.ML http://next.ml http://bit.ly/1AqhaKr http://www.sanfrancisco.ml 12/10/14: SF Hadoop User Group Meetup: http://bit.ly/1wlQvPh 11/18/14: H2O World: http://h2o.ai/h2o-world http://bit.ly/1EOcopL 11/14/14: MLConf SF: http://mlconf.com/mlconf-sf/ https://www.youtube.com/watch?v=ad4Nzsu8aiU 10/09/14: Meetup: http://bit.ly/1oWvMZ5 9/11/14: Meetup: http://t.co/6c9XHDeDgu Screencast: http://t.co/4c3LTzBhAP 9/3/14: Meetup: http://www.meetup.com/Silicon-Valley-Big-Data-Science/events/201161592/ Video: http://youtu.be/CJRvb8zxRdE 8/3/14: Fortune Magazine Big Data All Star: http://fortune.com/2014/08/03/meet-fortunes-2014-big-data-all-stars/ 7/16/14: Chicago Hadoop User Group Meetup: http://bit.ly/1zEvMSk 5/21/14: KDD Nuggets Deep Learning Webinar https://www.youtube.com/watch?v=GZU57OCSZy4 4/24/14: Paypal Data Science Seminar http://slidesha.re/1AHGJW9 4/10/14: SF Data Mining Meetup at Trulia: http://www.meetup.com/Data-Mining/events/170754582/ 4/9/14: SF Machine Learning Meetup at General Assembly: http://www.meetup.com/sfmachinelearning/events/173163502/ 4/3/14: San Francisco Big Data Science Meetup at TypeSafe: http://bit.ly/1BPc9wT 3/26/14: Meetup at 0xdata: http://bit.ly/1Ba7MLE Video: https://www.youtube.com/watch?v=eyNADNs0IIg 3/27/14: GigaOm: http://bit.ly/1g4XvRx 3/20/14: Meetup at 0xdata: http://bit.ly/1EOck9x From December 2013 to April 2015 (1 year 5 months) Senior Member of Technical Staff @ Designed, implemented and optimized scalable machine learning algorithms for advanced big data analytics using HPC principles. From January 2012 to December 2013 (2 years) Staff Scientist @ Led the development and application of high-performance distributed C++/MPI codes "ACE3P" for the simulation of particle-field interactions in next-generation particle accelerator components. Designed algorithms to take advantage of massive scale parallelism (100,000 cores) on leadership-class DOE supercomputers (top ten on top 500 list). Collaborated with leading laboratories including LBNL, LLNL, BNL, JLab, FNAL, PSI and CERN (http://vimeo.com/31042586, http://iopscience.iop.org/1742-6596/180/1/012004). I designed, implemented and applied the world's first 3D finite element particle-in-cell (PIC) code for the self-consistent modeling of space-charge dominated particle-field interactions. I am recognized as a leader in large-scale electromagnetic accelerator modeling, and have performed key simulations for the next big linear collider (est. $10+ billion) at CERN: http://candel.org/2012/08/18/made-it-onto-a-book-cover/ From September 2005 to January 2012 (6 years 5 months) Graduate Researcher @ Advisors: Prof. Dr. Ralf Eichler (then president of Paul Scherrer Institute, later president of ETH Zurich for 6 years), and Prof. Dr. Matthias Troyer (one of the world's foremost experts in quantum computing, C++ and high performance computing) Designed and implemented a massively parallel (MPI/C++) distributed 3D particle-in-cell code based on the finite difference method. Enabled the solution of 1000x larger problems than with the leading commercial code. Applied to the design of the SwissFEL project ($250M) at PSI. Taught undergraduate and graduate courses in computational physics and C++ programming. PhD Thesis available at http://candel.org/PhDThesis.pdf From February 2002 to July 2005 (3 years 6 months) zurich, switzerlandTeacher @ Tutored individuals and small groups from first grade to university level in math, physics and chemistry in one of Switzerland's finest private tutoring institutions. Also taught math and physics to a class of ca. 20 14-16 year old students. From May 1998 to May 2005 (7 years 1 month) Wettingen, Switzerland

PhD, Computational Physics @ ETH Zurich From 2002 to 2005 Masters, Physics @ ETH Zurich From 1996 to 2001 Arno Candel is skilled in: High Performance Computing, Algorithms, Scientific Computing, Parallel Computing, Physics, Simulations, Machine Learning, C++, MPI, LaTeX, Computational Physics, Linux, Distributed Systems, Research, Monte Carlo Simulation