Clara Higuera Cabañes
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| Dr. Clara Higuera Cabañes | |
|---|---|
| File:Clara higuera profile pic.jpgClara higuera profile pic.jpg Clara Higuera Cabañes | |
| Born | 1983 (age 40–41) Spain |
| 🏳️ Nationality | Spanish |
| Other names | Clara Higuera |
| 🏳️ Citizenship | Spanish |
| 🎓 Alma mater | Complutense University of Madrid (PhD Cum Laude) |
| 💼 Occupation | |
| 🏅 Awards | First Award in the National Contest for young scientists, INJUVE 2001[1] |
| Twitter= | |
Dr. Clara Higuera Cabañes (born 1983) is a Spanish data scientist and researcher. In 2001 she won First Prize in the Spanish X Certamen Young Researchers and was then selected to represent Spain in the European Union Contest for Young Scientists in 2002 in Vienna.[1]
Her diverse interests have spanned data science, machine learning, computational biology, genetic algorithms, Generative Models for NLP, artificial intelligence[6], data mining, supervised classification, self-organising maps, gene expression, bioinformatics, and scholarly communication.[5][6][4][7] Amongst other countries, Clara has lived and worked in the USA[6][8], England[5][7], and Sweden[6]. She presently resides in Spain[3].
Clara was an academic from 2001 until 2015 when she earned her PhD[4]. She has presented at industry conferences[9], and has also continues to author and co-author peer-reviewed academic publications (that are regularly cited[10]), including contributions to journals [11]. Her advocacy for the data sciences has included appearances on Spanish television.[12]
She is actively involved in pursuits that encourage women and girls to pursue careers in technology and science to help bridge the gender gap in these disciplines[3]. As an advocate for inculcating interest in STEM in the next generation she has been undertaken such activities as introducing school children to data science.[13]
Education[edit]
In 2001 Clara read Computer Science at the Complutense University of Madrid[6]. From 2010 to 2015 she worked as a research and teaching assistant while attending Complutense University of Madrid in both the Department of Biochemistry and Molecular Biology II and Department of Software Engineering and Artificial Intelligence with an interest in Bioinformatics and Computational Biology, and Computer Science[6]. Clara earned an MSc in Bioinformatics and Computational Biology and then also a second MSc through research in Computer Science (Artificial Intelligence), both were awarded in 2010 from Complutense University of Madrid.[14]
As a visiting PhD student in 2013 she attended the Karolinska Institutet in Sweden.[6] and Virginia Commonwealth University in the USA[6]. At the Karolinska Institutet she worked with a research group in the Science for Life Laboratory. At the Virginia Commonwealth University she worked within the Department of Computer Science, Biomedical Informatics Research Group - examining the automatic extraction of critical proteins related to learning in control and Down Syndrome mice[8] Clara defended her PhD (Cum Laude) in 2015[4] at the Complutense University of Madrid. Throughout her PhD years she designed and applied different artificial intelligence methods for the resolution of new biological problems. Her projects were mainly related to optimization and data analysis using machine learning methods.[6]
Career[edit]
Clara commenced her formal career as a data scientist working for the Spanish ElDiario.es.[3] In 2017 she joined the BBC and worked in BBC News in the Audience Engagement team as data scientist helping to better understand BBC News audience and build data products with the help of data and Machine Learning.[5][7] In 2019 Clara joined Banco Bilbao Vizcaya Argentaria's AI Factory as a Data Scientist and in 2021 become Lead Data Scientist.[3][7][15]
Publications[edit]
- "Diseño de un método selectivo inspirado en enfriamiento simulado aplicado a un proyecto bioquímico, 2009/2010"[14]
- "Tools-4-Metatool (T4M): Online suite of web-tools to process stoichiometric network analysis data from Metatool", 2011[16]
- "Multi-Criteria Optimization of Regulation in Metabolic Networks", 2012[17]
- "Expert system for clustering prokaryotic species by their metabolic features", 2013[11]
- "Self-Organizing Feature Maps Identify Proteins Critical to Learning in a Mouse Model of Down Syndrome", 2015[8]
- "A SOM prototype-based cluster analysis methodology", 2017[18]
- "Human-centric evaluation of similarity spaces of news articles", 2019[19]
Conferences and Presentations[edit]
- Conferencia de clausura. XXX Congreso de Jóvenes Investigadores, 2017 (In Spanish)[20]
- "Algorithms for the Public Service", Workshop on Monitoring PhD Student Progress 2018[21]
- "Building content similarity recommenders at BBC", BI Forum, Budapest 2018[5]
- Data Inclusive Presentation: Clara Higuera Cabanes, Data Scientist, BBC, 2018[22]
- "Slow burning, ground breaking and blockbuster data applications at the BBC" - Data Science Festival, 2019[23]
- "Human-centric evaluation of similarity spaces of news articles", SIGIR 2019[24][25]
- "NLP Adventures in a Financial Organization" - Cabo Verde Data Science Summit - 2021[26]
- "Teaching machines to assist financial advisors. Generative NLP models in customer service: challenges and lessons learned", J On The Beach 2022[15][7]
References[edit]
- ↑ 1.0 1.1 "25 años del Certamen Jóvenes Investigadores. Madrid, 2012" (PDF).
- ↑ "Clara Higuera, Association for Computing Machinery".
- ↑ 3.0 3.1 3.2 3.3 3.4 "Lead Data Scientist BBVA".
- ↑ 4.0 4.1 4.2 4.3 Higuera, Clara (2015). Machine learning based methods for the study of metabolism and its effect on the behavior of biological systems (PDF) (PhD thesis). Complutense University of Madrid.
- ↑ 5.0 5.1 5.2 5.3 5.4 "BI Forum, Budapest 2018, Building content similarity recommenders at BBC".
- ↑ 6.0 6.1 6.2 6.3 6.4 6.5 6.6 6.7 6.8 "Clara Higuera, Research Gate".
- ↑ 7.0 7.1 7.2 7.3 7.4 "J On The Beach speaker Clara Higuera".
- ↑ 8.0 8.1 8.2 Higuera, Clara; Gardiner, Katheleen J.; Cios, Krzysztof (2015-06-25). "A SOM prototype-based cluster analysis methodology". PLOS ONE. 10 (6): e0129126. doi:10.1371/journal.pone.0129126. PMC 4482027. PMID 26111164.
- ↑ "Speaker announcement BBC Data Festival, 2019".
- ↑ Clara Higuera Cabañes publications indexed by Google Scholar
- ↑ 11.0 11.1 Higuera, Clara; Pajares, Gonzalo; Tamames, Javier; Morán, Federico (2013-11-01). "Expert system for clustering prokaryotic species by their metabolic features". Expert Systems with Applications. 40 (15): 235–242. doi:10.1016/j.eswa.2013.05.013. ISSN 0957-4174.
- ↑ "Tecnología, RTVE, 2021 (In Castellano)". 25 March 2021.
- ↑ "Clara Higuera teaching children about data science, Twitter".
- ↑ 14.0 14.1 Higuera, Clara. "Diseño de un método selectivo inspirado en enfriamiento simulado aplicado a un proyecto bioquímico". Masters Dissertation.
- ↑ 15.0 15.1 "Teaching machines to assist financial advisors. Generative NLP models in customer service: challenges and lessons learned".
- ↑ Xavier, Daniela; Vázquez, Sara; Higuera, Clara; Morán, Federico; Montero, Francisco (2011-08-01). "Tools-4-Metatool (T4M): Online suite of web-tools to process stoichiometric network analysis data from Metatool". Biosystems. 105 (2): 169–172. doi:10.1016/j.biosystems.2011.04.004. PMID 21554926.
- ↑ Higuera, Clara; Villaverde, Alejandro F.; Banga, Julio R.; Ross, John; Morán, Federico (2012-07-26). "Multi-Criteria Optimization of Regulation in Metabolic Networks". PLOS ONE. 7 (7): e41122. Bibcode:2012PLoSO...741122H. doi:10.1371/journal.pone.0041122. PMC 3406099. PMID 22848435.
- ↑ Delgado, Soledad; Higuera, Clara; Calle-Espinosa, Jorge; Morán, Federico; Montero, Francisco (2017-12-01). "A SOM prototype-based cluster analysis methodology". Expert Systems with Applications. 88: 14–28. doi:10.1016/j.eswa.2017.06.022.
- ↑ Higuera, Clara; Schammel, Michel; Ka Kei Yu, Shirley; Fields, Ben (2019-07-25). "Human-centric evaluation of similarity spaces of news articles" (PDF). Proceedings of the Third International Workshop on Recent Trends in News Information Retrieval, Co-located with 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019).
- ↑ "XXX Congreso de Jóvenes Investigadores, 2017". 28 September 2017.
- ↑ "PhD Programme on Information and Communications Technology, University of Vigo 2018".
- ↑ "Data Inclusive Presentation, BBC, 2018". YouTube.
- ↑ "BBC - Data Science Festival, 2019". YouTube.
- ↑ "25 JULY NEWSIR WORKSHOP SIGIR 2019".
- ↑ "NewsIR 2019: Recent Trends in News Information Retrieval".
- ↑ "Cabo Verde Data Science Summit, 2021". YouTube.
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