CTO & Chief Scientist

Acesio, New York City

Alejandro (Alex) Jaimes, Ph.D.

I'm a scientist and innovator with 15+ years of international experience in research and product impact (Acesio, AiCure, Yahoo, KAIST, Telefonica, IDIAP-EPFL, Fuji Xerox, IBM, Siemens, and AT&T Bell Labs). I've worked in the USA, Japan, Chile, Switzerland, Spain, and South Korea. I have a Ph.D. from Columbia University.

Acesio focuses on Big Data for predictive analytics in Healthcare to tackle disease at worldwide scale, impacting individuals and entire populations. We use Artificial Intelligence to collect and analyze vast quantities of data to track and predict disease in ways that have never been done before- leveraging environmental variables, population movements, sensor data, and the web. Predictive outcomes in disease progression, reoccurrence and incidence in the population health context at a global scale!

At Yahoo I managed teams of scientists and engineers in Barcelona, Bangalore, Sunnyvale, and New York City. I set the research strategy, and directly contributed to several Yahoo products including Yahoo News, Image and Video search, Flickr, and others.

I design and build applications, working on Human-Centered Computing, at the intersection of data science [behavioral insights], user experience [interaction, multimedia, design], and business, combining quantitative and qualitative methods for innovation.

I like to travel, read, and explore different cultures. I have lived in 8 cities in 4 continents [Bogota, New York, Santiago de Chile, Tokyo, Lausanne, Madrid, Barcelona, Daejeon] and traveled in 80+ countries [Flickr].

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

Recent invited talks

  • 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

  • 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.