Head of R&D

DigitalOcean
New York City

Alejandro (Alex) Jaimes, Ph.D.

Scientist, innovator, speaker, engineering executive, and startup advisor with 15+ years of international experience in research (Columbia U., KAIST) and product impact at scale (DigitalOcean, Yahoo, Telefónica, IDIAP-EPFL, Fuji Xerox, IBM TJ Watson, Siemens, and AT&T Bell Labs) having worked in 8 cities [Bogota, New York, Santiago de Chile, Tokyo, Lausanne, Madrid, Barcelona, Daejeon] & traveled in 80+ countries.

Columbia University Ph.D. (Machine Learning, Computer Vision, Artificial Intelligence, 100+ patents & publications, 4K+ citations), artist (photography, film, new media) with exhibitions and performances in the US, Switzerland, Spain, South Korea, Colombia, Chile, and Japan.   

I am the Head of R&D at DigitalOcean, a cloud platform company simplifying the complexities of infrastructure for software developers. DO is the 2nd largest and fastest growing cloud computing platform in the total number of public facing apps and websites (Netcraft.com). It has raised $123 million from Andreessen Horowitz, Access Industries, IA Ventures, CrunchFund, and Techstars.

I'm an advisor to Acesio, which uses Artificial Intelligence to analyze vast quantities of data to track and predict disease in relation to environmental variables. 

Previously, I was CTO & Chief Scientist at AiCure and Director of Research/Product at Yahoo where I managed teams of scientists and engineers in Barcelona, Bangalore, London, Sunnyvale, and NYC. My team's work directly impacted Yahoo News, Image and Video search, Flickr, and many others.

I focus on Human-Centered Computing, designing algorithms and building applications at the intersection of data science, user experience, and business, combining quantitative and qualitative methods for innovation (behavioral insights, machine learning, data science). 

Past EU projects: Social Sensor, ARCOMEM, and the CENIT Social Media. Flickr.

Recent invited talks

  • CITI Congress (Technological Innovations Applied to Quality of Life), Bogota, November 2017
  • Littler: The Future of Workforce Roundtable, Washington DC, November 2017
  • World Summit on Innovation & Entrepreneurship (WSIE), New York, October, 2017
  • Cognitive Computing Meetup, New York, September 2017
  • Machine Intelligence Summit, Berlin, July 2017 (panel moderator)
  • Machine Intelligence Summit, Berlin, July 2017 (keynote)
  • Tech Open Air, Berlin, July 2017
  • [:] futureDev, San Francisco, June 2017
  • Machine Intelligence Summit, New York, November 2016
  • NHTV University of Applied Sciences, Breda, Netherlands, February 2016.
  • Data Natives, Berlin, October 2016
  • AI Startups Conference, San Francisco, May 2016
  • Health Technology Forum Innovation for Common Good Conference, May 2016
  • Deep Learning Summit, Boston, May 2016.
  • Deep Learning in Healthcare Summit, London, March 2016.
  • Machine Learning seminar and Panel, Genentech, San Francisco, March 2016.
  • NY Health and Bio Technology Summit, NYC, February 2016.

Recent papers

  • Computer Vision Startups Tackle AI. IEEE Multimedia Magazine, 2016.
  • To Click or Not To Click: Automatic Selection of Beautiful Thumbnails from Videos. CIKM 2016.
  • TGIF: A New Dataset and Benchmark on Animated GIF Description. CVPR 2016.
  • Predicting celebrity attendees at public events using stock photo metadata. Multimedia Tools and Applications. 75(4): 2145-2167, 2016.
  • Mouse Activity as an Indicator of Interestingness in Video. ICMR 2016.
  • TGIF: A New Dataset and Benchmark on Animated GIF Description. CVPR 2016.
  • Humor in collective discourse: Unsupervised funniness detection in the New Yorker Cartoon Caption Contest. LREC 2016.