Scholar
Alejandro Jaimes
Google Scholar ID: 2_sT4fcAAAAJ
Chief AI Officer at Dataminr
Citations & Impact
Citations
3,772
H-index
28
i10-index
52
Publications
20
Co-authors
45
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Holds 100+ patents and publications.
- Recent papers include:
- • '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, 2016)
- • 'Mouse Activity as an Indicator of Interestingness in Video' (ICMR 2016)
- • 'Humor in collective discourse: Unsupervised funniness detection in the New Yorker Cartoon Caption Contest' (LREC 2016)
- Frequent invited speaker at international venues including the United Nations, AI for Good Global Summit, The Web Conference, O'Reilly Velocity Conference, and Deep Learning Summit.
Background
- Scientist, speaker, and engineering executive specializing in Deep Learning, Machine Learning, Computer Vision, and Artificial Intelligence.
- Over 15 years of international experience in research (Columbia University, KAIST) and large-scale product impact at companies including DigitalOcean, Yahoo, Telefónica, IDIAP-EPFL, Fuji Xerox, IBM, Siemens, and AT&T Bell Labs across the USA, Japan, Chile, Switzerland, Spain, and South Korea.
- Uses a Human-Centered approach to leverage large-scale data for designing, building, and delivering novel algorithms that create business value for products used by millions.
- Core competencies include: building and managing internationally distributed teams of scientists and engineers; providing strategic, technical, and operational leadership; acting as a catalyst between engineers, designers, product managers, and executives; communicating across diverse communities (70+ invited international talks); designing and leading implementation of algorithms, advanced metrics, and A/B tests; and delivering solutions that matter at the individual level, scale effectively, and make business sense.
- Diverse technical expertise at the intersection of AI and User Experience across industries such as Cloud, Healthcare, and News/Media, including Computer Vision, Data Mining & Machine Learning, Content Recommendation & Social Discovery, and Behavioral Insights & Product Strategy.
