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I am an AI researcher, manager, and product leader. I have a PhD on Computer Science and a degree in Telecommunications Engineering
(roughly equivalent to ECE in the US). I am best known for my work on AI and Machine Learning, and
Recommender Systems in particular. More recently I have worked on Generative AI, LLMs, and AI for heaclthcare (see my Publications for more details).
I am now at Google, where I lead Product for Core ML/AI, the team building AI solutions for all of Google products and bringing AI research to production.
I previously led generative AI initiaves at LinkedIn. For the last few years before moving to LinkedIn,
I worked on my own startup
Curai in the intersection of AI and healthcare.
Before this, I led the Engineerng team at Quora.
Before Quora, I was Research/Engineering
Director at Netflix, where I started and led the Algorithms team in charge of the famous
Netflix recommendations. In my previous lives I worked at Telefonica Research and also spent
two years at UCSB working as the Technical Director of
the Allosphere project
(See my LinkedIn profile for
more details on my positions).
I live in Los Gatos, CA, with my wife Natalia. We have been empty nesters for some time as
our two wonderful children Aitor and Adriana have moved out. Aitor has already graduated and lives in NYC, Adriana is studying in Iowa.
I am originally from Barcelona, and I am a big F.C. Barcelona fan (go Xavi!).
/*********************************
* Xavier Amatriain *
* VP Product - Core AI/ML *
* Google *
* Los Gatos, CA *
* firstname@amatria.in *
**********************************/
Projects
I am currently VP of Engineering, AI Product Strategy at LinkedIn. I report both to the Head of AI and Product,
and lead generative AI projects across the company. Fun times.
Before that, I co-founded Curai, and as a CTO I led the team working
on making high quality healthcare accesssible to everyone in the world through the use of AI/Machine Learning. I am still an advisor and on the Curai Board of Directors.
Previously, I was VP of Engineering at Quora. My claim to fame is starting and leading the Algorithms team in charge of recommendation, personalization, and search algorithms at Netflix. My technical area of expertise
is on Machine Learning, Information Retrieval, Recommender Systems, and Software Engineering/Computer Science in general.
Publications
You can find below a list of my publications, most of them with a linked pdf. You can also visit my Google Scholar page for more details.
AI for Healthcare:
Articles in Conferences:
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B Chintagunta, N Katariya, X Amatrian, A Kannan (2021) "Medically-aware GPT-3 as a data generator for medical dialog summarization" in NAACL-Workshop on NLP for Medical Conversations
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A Mottaghi, PK Sarma, X Amatriain, S Yeung, A Kannan (2020) "Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions" in Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract
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A Joshi, N Katariya, X Amatriain, A Kannan (2220) "Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures" in Findings of EMNLP at EMNLP 2020
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CH McCreery, N Katariya, A Kannan, M Chablani, X Amatriain (2020) "Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs" in Proceedings of the 26th ACM SIGKDD
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A Kannan, R Chen, V Venkataraman, GJ Tso, X Amatriain (2020) "COVID-19 in differential diagnosis of online symptom assessments" in Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract
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A Kannan, JA Fries, E Kramer, JJ Chen, N Shah, X Amatriain (2020) "The accuracy vs. coverage trade-off in patient-facing diagnosis models" in AMIA Summits on Translational Science Proceedings
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V Prabhu, A Kannan, M Ravuri, M Chaplain, D Sontag, X Amatriain (2019) "Few-shot learning for dermatological disease diagnosis" in Proceedings of Machine Learning for Healthcare Conference
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C McCreery, N Katariya, A Kannan, M Chablani, X Amatriain (2019) "Domain-Relevant Embeddings for Medical Question Similarity" in Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract
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V Prabhu, A Kannan, GJ Tso, N Katariya, M Chablani, D Sontag, X. Amatriain (2019) "Open Set Medical Diagnosis" in Machine Learning for Healthcare (ML4H) Workshop at NeurIPS 2019
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S Shleifer, M Chablani, N Katariya, A Kannan, X Amatriain (2019) "Classification As Decoder: Trading Flexibility For Control In Neural Dialogue" in Machine Learning for Healthcare (ML4H) Workshop at NeurIPS 2019
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M Ravuri, A Kannan, GJ Tso, X Amatriain (2018)"Learning from the experts: From expert systems to machine-learned diagnosis models" in Machine Learning for Healthcare Conference 2018
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V Prabhu, A Kannan, M Ravuri, M Chablani, D Sontag, X Amatriain (2018)"Prototypical clustering networks for dermatological disease diagnosis" in Machine Learning for Healthcare Conference 2018
Recommender Systems & User Modeling:
Book Chapters:
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X Amatriain, J Basilico (2015) "Recommender systems in industry: A Netflix case study" in Recommender systems handbook
- Amatriain, Pujol, J.M. (2010) "Data Mining Methods for Recommender Systems" in Recommender Systems Handbook. Kantor, Ricci, Rokach, Shapira (Eds). Springer. (In Press)
Articles in Journals:
- Amatriain X. (2012) "Mining Large Streams of User Data for Personalized Recommendations" in KDD Explorations. December 2012.
Articles in Conferences:
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X Amatriain, D Agarwal (2016) "Lessons learned from building real-life recommender systems" in Proceedings of the 10th ACM Conference on Recommender Systems
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L Yang, X Amatriain (2016) "Recommending the World's Knowledge: Application of Recommender Systems at Quora" in Proceedings of the 10th ACM Conference on Recommender Systems
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X Amatriain, J Basilico (2016) "Past, present, and future of recommender systems: An industry perspective" in Proceedings of the 10th ACM conference on recommender systems
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X. Amatriain (2016) "Machine Learning for Q&A sites: state of the art and research directions" in Proceedings of the 25th International Conference Companion on World Wide Web
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X. Amatriain (2014) "The recommender problem revisited" in Proceedings of the 8th ACM Conference on Recommender systems
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X Amatriain, B Mobasher (2014) "The recommender problem revisited" in Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
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X. Amatriain (2013) "Beyond data: from user information to business value through personalized recommendations and consumer science" in Proceedings of the 22nd ACM CIKM Conference. November 2013.
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X. Amatriain (2013) "Big & personal: data and models behind netflix recommendations" in 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining in SIGKDD Conference. August 2013.
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X. Amatriain (2012) "Building industrial-scale real-world recommender systems" in Proceedings of the sixth ACM conference on Recommender systems. September 2012.
- A. Karatzoglou, X. Amatriain, L. Baltrunas, N. Oliver (2010) "Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering", in the 2010 ACM Recsys Conference. Barcelona, Spain.
- J. Bachs, X. Amatriain (2010) "Geolocated Movie Recommendations based on Expert Collaborative Filtering", in the 2010 ACM Recsys Conference (Demo track). Barcelona, Spain.
- T. Cebrian, M. Planaguma, P. Villegas, X. Amatriain (2010) "Music recommendations with temporal context awareness", in the 2010 ACM Recsys Conference (Demo track). Barcelona, Spain.
- R. Garcia, X. Amatriain (2010) "Hybrid Methods for Recommending Connections in Online Social Networks", in the Workshop on Recommender Systems and the Social Web in the 2010 ACM Recsys Conference. Barcelona, Spain.
- N. Lathia, S. Hailes, L. Capra, and X. Amatriain (2010) "Temporal Diversity in Recommender Systems", in the 2010 SIGIR Conference. Geneve, Switzerland.
- J. Ahn, X. Amatriain (2010) "Towards Fully Distributed and Privacy-preserving Recommendations via Expert Collaborative Filtering and RESTful Linked Data", in ACM/IEE Conference on Web Intelligence. Toronto, Canada.
- N. Tintarev, A. Flores, X. Amatriain (2010) "Off the beaten track - a mobile field study exploring the long tail of mobile tourist recommendations", in the 2010 Mobile HCI Conference. Porto, Portugal.
- L. Baltrunas, X. Amatriain (2009) "Towards Time-Dependant Recommendation based on Implicit Feedback", in CARS (Context-aware Recommender Systems Workshop) @ 2009 ACM RecSys Conference. NY, USA.
- X. Amatriain, J.M. Pujol, N. Tintarev, N. Oliver (2009) "Rate it Again: Increasing Recommendation Accuracy by User re-Rating", in the 2009 ACM RecSys Conference. NY, USA.
- N. Lathia, X. Amatriain, J.M. Pujol (2009) "Collaborative Filtering With Adaptive Information Sources", in The 7th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems Held in conjunction with IJCAI-09.
- X. Amatriain, N. Lathia, J.M. Pujol, H. Kwak, N. Oliver (2009) "The Wisdom of the Few: A Collaborative Filtering Approach Based on Expert Opinions from the Web", in SIGIR 09.
- X. Amatriain, J.M. Pujol, N. Oliver (2009) "I like It... I like It Not: Measuring Users Ratings Noise in Recommender Systems", in UMAP 09.
- M. Cha, P. Rodriguez, J. Crowfort, S. Moon, X. Amatriain (2008) "Watching TV over an IP Network" in Proceedings of the 8th ACM SIGCOMM conference on Internet measurement.
VR & Immersive Environments:
Book Chapters:
- Amatriain, X. Castellanos, J. Hollerer, T. Kuchera-Morin, J. Pope, S.T. Wakefield, G. Wolcott, W. (2008) "Towards a Fully Immersive Audio and Music Experience in the Allosphere" in Sense of Sounds, R. Kronland-Martinet, S. Ystad and K. Jensen (eds). Springer Verlag, LNCS series.
Articles in Journals:
- Amatriain X., Kuchera-Morin J. , Hollerer T. , Pope S.T. (2009) "The Allosphere: An Immersive Multimedia Instrument for Scientific Data Discovery and Artistic Exploration" in IEEE Multimedia, 16 (2). April 2009
Articles in Conferences:
- Hollerer, T. Kuchera-Morin J. Amatriain, X. (2007) "The Allosphere: A Large-Scale Immersive Surround-View Instrument". Proceedings of the 2007 Emerging Display Technologies Workshop @ SIGGRAPH.
- Amatriain, X. Hollerer, T. Kuchera-Morin J. Pope, S.T. (2007) "Immersive Audio and Music in the Allosphere". Proceedings of the 2007 ICMC Conference.
Multimedia Systems:
Articles in Journals:
- X. Amatriain, P. Arumi (2010) "Frameworks Generate Domain-Specific Languages: A Case-study in the Multimedia Domain", in IEEE Transactions on Software Engineering
- Amatriain, X. Arumi, P., Garcia P. (2008) "A Framework for Efficient and Rapid Development of Cross-platform Audio Applications". In ACM Multimedia Systems Journal. , 14(1). June 2008.
- Amatriain, X. (2007) "A Domain-Specific Metamodel for Multimedia Processing Systems" in IEEE Transactions on Multimedia. Volume 9 Issue 6. October 2007.
- Amatriain, X. (2007) "CLAM, A Framework for Audio and Music Application Development" in IEEE Software. January/February. pp 82-85.
Articles in Conferences:
- J. Wang, X. Amatriain, D. Garcia (2009) "Combining multi-level audio descriptors via web identification and aggregation", in Proceedings of WWW 09, Developers Track.
- P. Arumi, X. Amatriain, (2009) "A Timeliness Approach to Synchronous Dataflows for Callback-based Multimedia Systems", in Sixteenth Multimedia Computing and Networking Conference (MMCN'09).
- Norman, A. Amatriain, X. (2007) "Data Jockey, a tool for Active Listening". Proceedings of the 2007 ICMC Conference.
- Amatriain, X. Arumi, P. Garcia, D. (2006) "CLAM: A Framework for Efficient and Rapid Development of Cross-platform Audio Applications". Proceedings of ACM Multimedia.
- Pope, S.T. Amatriain, X. Putnam, L. Castellanos, J. Avery, R. (2006) "Metamodels and Design Patterns in CSL 4". Proceedings of International Computer Music Conference (ICMC 06).
- Arumi, P. Garcia, D. Amatriain, X. (2006) "A Dataflow Pattern Language for Sound and Music Computing". Proceedings of Pattern Languages of Programming (PloP 06).
- Amatriain X., Massaguer J., Garcia D. Mosquera I. (2005) "The CLAM Annotator: A Cross-platform Audio Descriptors Editing Tool". Proceedings of the 6th International Conference on Music Information Retrieval, London, England.
- Amatriain, X. Arumi, P. (2005) "Developing Cross-platform Audio and Music Applications with the CLAM Framework". Proceedings of 2005 ICMC Conference, Barcelona, Spain.
- Arumi, P. Amatriain, X. (2005) "CLAM, An Object-Oriented Framework for Audio and Music" Proceedings of 3rd International Linux Audio Conference; Karlsruhe, Germany
- Amatriain, X. (2005) "An Object-Oriented Metamodel for Digital Signal Processing with a focus on Audio and Music". Ph.D. Dissertation. UPF. Barcelona;
- Gomez, E. Gouyon, F. Herrera, P. Amatriain, X. (2003) "Content-based melodic transformations of audio material for a music processing application". Proceedings of Audio Engineering Society, 114th Convention.
- E Gómez, M Grachten, X Amatriain, J Arcos (2003) "Melodic characterization of monophonic recordings for expressive tempo transformations". Proceedings of Stockholm Music Acoustics Conference.
- E Gómez, G Peterschmitt, X Amatriain, P Herrera (2003) "Using and enhancing the current MPEG-7 standard for a music content processing tool". Proceedings of the 6th International Conference on Digital Audio Effects
- E Gómez, F Gouyon, P Herrera, X Amatriain (2003) "MPEG-7 for content-based music processing". Proceedings of the 4th European Workshop on Image Analysis for Multimedia Interactive Services
- Geiger, G. Mora, A. Rubio, X. Amatriain, X. (2003) "AGNULA: A GNU Linux Audio Distribution". Proceedings of II Jornades de Software Lliure UPC.
- Amatriain, X. de Boer, M. Robledo, E. Garcia, D. (2002) "CLAM: An OO Framework for Developing Audio and Music Applications" . Proceedings of the 17th Annual Conference on Object-Oriented Programming, Systems, Languages and Applications, OOPSLA' 02. Seattle, WA, USA. November 2002.
- Amatriain, X. de Boer, M. Robledo, E. Garcia, D. (2002) "CLAM: Yet Another Library for Audio and Music Processing?". Proceedings of the 17th Annual Conference on Object-Oriented Programming, Systems, Languages and Applications, OOPSLA' 02. Seattle, WA, USA. November 2002.
- Amatriain, X. Herrera, P. (2002) "Transmitting Audio Content as Sound Objects". In Proceedings of AES22 International Conference on Virtual, Synthetic and Entertainment Audio. Espoo, Finland.
- Garcia, D. Amatriain, X. (2002) "XML as a means of control for audio processing, synthesis and analysis". In Proceedings of the MOSART Workshop on Current Research Directions in Computer Music. Barcelona, Spain.
- Amatriain, X. Herrera, P. (2001) "Audio Content Transmission". In Proceedings of COST G6 Conference on Digital Audio Effects. Limerick, Ireland.
- Amatriain, X. (1998) "METRIX: A Musical Data Definition Language and Data Structure for a Spectral Modeling Based Synthesizer". In Proceedings of COST G6 Conference on Digital Audio Effects. Barcelona, Spain.
Music & Audio Processing:
Book Chapters:
- Gouyon, F. Amatriain, X. Bonada, J. Cano, P. Gomez, E. Herrera, P. Loscos, A. (2006) "Content processing of musical audio signals" in Sound to sense, sense to sound: A state-of-the-art, Leman, M. Cirotteau D. (eds).
- Amatriain, X. Bonada, J. Loscos, A. Serra, X. (2002) "Spectral Processing" in DAFX: Digital Audio Effects, Udo Zoelzer (ed.). pp. 554. John Wiley & Sons Ed.
Articles in Journals:
- Amatriain, X. Bonada, J. Loscos, A. Arcos, J. Verfaille, V. (2003) "Content-based Transformations" in Journal of New Music Research 32(1)
Articles in Conferences:
- Amatriain, X. Bonada, J. Loscos, A. Serra, X. (2002) "Spectral Modeling for Higher-level Sound Transformation". In Proceedings of MOSART Workshop on Current Research Directions in Computer Music. Barcelona, Spain.
- Herrera, P. Amatriain, X. Battle, E. Serra, X. (2002) "Toward Instrument Segmentation for Music Content Description: a Critical Review of Instrument Classification Techniques" . In Proceedings of 1st International Symposium on Music Information Retrieval. Plymouth, MA, USA.
Student Projects:
Click here for a complete list of student projects I have directed.
Resume
You can download a pdf version of my CV here or you can access my LinkedIn profile.
Summary
I am currently VP of Engineering, AI Product Strategy at LinkedIn.
Before that, I co-founded Curai, where I still serve as member of the board, and where we are using state-of-the art AI/Machine Learning to scale the world's best healthcare
to every human being. Before this, I was VP of Engineering at Quora where I led the engineering team. Previous to that, I
was a Research/Engineer Director for the Algorithms Engineering team at Netflix. I enjoy working on complex problems in
the cross-roads of machine learning, software engineering, and team management.
I have extensive research and management background.
I have authored more than 50 publications and hold several patents.
As a university professor I have experience in teaching Software Engineering,
Information Retrieval, Machine Learning, and many different courses related to Multimedia and Music.