Alejandro (Alex) Jaimes, Ph.D.
Scientist (Deep Learning, Machine Learning, Computer Vision, Artificial Intelligence), speaker, engineering executive. 15+ years of intl. experience in research (Columbia U., KAIST) and product impact at scale (DigitalOcean, Yahoo, Telefónica, IDIAP-EPFL, Fuji Xerox, IBM, Siemens, and AT&T Bell Labs) in the USA, Japan, Chile, Switzerland, Spain, and South Korea. 100+ patents and publications. Columbia University Ph.D..
I leverage large-scale data using a
Human-Centered approach to design, build, and deliver
business value in novel algorithms for products used by
millions of people. Core competencies:
- Building and managing internationally distributed teams of scientists and engineers.
- Strategic, technical, and operational leadership to maximize business impact of research.
- Creating synergies as a catalyst between engineers, designers, product managers, and executives.
- Communicating across diverse communities (70+ international invited talks).
- Designing and leading implementation of algorithms, advanced metrics, and A/B tests.
- Taking on projects that involve multiple stakeholders,
delivering solutions that matter at the individual level,
work at scale, and make business sense.
Diverse technical skills at the
intersection of AI and User Experience across various
industries (Cloud, Healthcare, News/Media):
- Computer Vision, Data Mining & Machine
Learning
- Content Recommendation & Social Discovery
- Behavioral insights & Product strategy
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
- Webinar
on Next Generation Emergency Response [10/19]
- UN's DTN Meeting (CxO's of all UN agencies), at the
Intl. Criminal Court [The Hague 9/19]
- ACM Video Interviews with Stephen Ibaraki [NYC 6/19]
- The
Web Conference Workshop on Data Science for Social Good
[5/19]
- AI for Good Global Summit [Geneva 5/19]
- World Summit on Innovation & Entrepreneurship [NYC 5/19]
- UN Intl. International Partnership for Technology in Peacekeeping Symposium [Nur-Sultan Kazakhstan 5/19]
- O'Reilly Velocity Conference, [San Jose, CA 6/18]
- Developer Week [NY 6/18]
- Curiosity Conference (Education + AI) [SF 4/18]
- KeyBanc Capital Markets Emerging Technology Summit [SF 2/18]
- Decentralized AI Summit [SF 2/18]
- World Summit on Innovation & Entrepreneurship [NYC 10/17]
- Tech Open Air [Berlin 7/17]
- Deep Learning Summit [Boston 10/16]
- 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.