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an American computer scientist and [[Artificial Intelligence|AI]] researcher with focus on [[Learning|machine learning]] and [https://en.wikipedia.org/wiki/Machine_translation machine translation].
He holds a Ph.D. in computer science in 1979 from [https://en.wikipedia.org/wiki/Yale_University Yale University] and is [[Allen Newell]] professor at [[Carnegie Mellon University]], co-founder and chairman, of ''Carnegie Speech Incorporated'' and ''Wisdom Technologies Corporation'' <ref>[https://franz.com/success/customer_apps/optimization/wisdom.lhtml Franz Inc Customer Applications: Wisdom Technologies, Inc.]</ref>.
Jaime Carbonell invented multiple well-known algorithms and methods, including [https://en.wikipedia.org/wiki/Proactivity proactive] [[Learning|machine learning]] for multi-source cost-sensitive [https://en.wikipedia.org/wiki/Active_learning active learning], linked [https://en.wikipedia.org/wiki/Conditional_random_field conditional random fields] (L-SCRF) for predicting tertiary and quaternary [https://en.wikipedia.org/wiki/Protein_folding protein folds], [https://en.wikipedia.org/wiki/Automatic_summarization maximal marginal relevance] (MMR) for information novelty, retrieval and summarization, topic-conditioned modeling for [https://en.wikipedia.org/wiki/Novelty_detection novelty detection], symmetric optimal [https://en.wikipedia.org/wiki/Phrase phrasal] alignment method for trainable example-based and statistical machine translation, series-anomaly modeling for [https://en.wikipedia.org/wiki/Predictive_analytics#Fraud_detection financial fraud detection] and [https://en.wikipedia.org/wiki/Clinical_surveillance syndromic surveillance], knowledge-based[https://en.wikipedia.org/wiki/Interlingual_machine_translation interlingual machine translation], transformational analogy for [https://en.wikipedia.org/wiki/Case-based_reasoning case-based reasoning], [https://en.wikipedia.org/wiki/Derivation_%28linguistics%29 derivational] analogy for reconstructive [https://en.wikipedia.org/wiki/Theory_of_justification justification-based] reasoning,robust case-frame parsing, seeded[https://en.wikipedia.org/wiki/Version_space version-space learning], and developed improvements to several other machine learning algorithms. Current research foci include robust statistical learning and mapping [https://en.wikipedia.org/wiki/Peptide_sequence protein sequences] to 3D structure and inferring functional properties, automated transfer-rule learning for machine translation, enriched active transfer learning context-based machine translation, and machine translation for very rare languages <ref>[http://www.cs.cmu.edu/~jgc/CVs/Carbonell%20CV%202013-March.pdf Jaime G. Carbonell - Curriculum Vita] (pdf)</ref>.
=Selected Publications=
