Alejandro (Alex) Jaimes, Ph.D.
I'm a scientist and innovator with 15+
years of international experience in research and product
impact (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.
AiCure is a VC-funded startup that leverages mobile technology by combining it with Artificial Intelligence (Computer Vision, Machine Learning, Big Data) to encourage patients to take their medication and to verify that they are taking the right medication at the right time.
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].
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.
- Evaluating an Artificial Intelligence (AI) platform to Monitor and Increase Medication Adherence in CNS Trials. Poster at 5th Biennial Schizophrenia International Research Society Conference (SIRS 2016).
- Perceptions of Interaction Modalities on Mobile Smart Phones (submitted, 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.