LAURA ALEJANDRA ZANELLA CALZADA
lzanellac@uaz.edu.mx / lau_zanella@hotmail.com
Age: 26
San Luis Potosí, S.L.P., Mexico
Cellphone: (+52) 1 4448509682
Skype: Laura Alejandra Zanella Calzada / live:lau_zanella
1 OBJECTIVE
Participate in the development of computer support tools in the medical environment that can represent a benefit in health, as well as the automatic diagnosis of diseases. In addition, to know all the hospital areas where Clinical Engineering and Biomedical Engineering are applied, developing skills to promote actions that solve problems, as well as promoting an improvement in the hospital environment, always considering bioethics for any activity.
2 GRADES AND COURSES
From: 8/2012, To: 12/2016. Undergraduate studies to obtain the degree of Biomedical Engineer in the Faculty of Sciences, Universidad Autonóma de San Luis Potosí (San Luis Potosí, S.L.P., Mexico).
From: 1/2017, To: 1/2019. Graduate studies to obtain the degree of Master of Engineering Science in the Academic Unit of Electrical Engineering, Universidad Autónoma de Zacatecas (Zacatecas, Zacatecas, Mexico).
Data mining course using genetic information (Instituto Tecnológico y de Estudios Superiores de Monterrey, Monterrey, Nuevo León, Mexico).
Fundamental Neuroscience for Neuroimaging, online course (Johns Hopkins University, Baltimore, Maryland, U.S.A.).
Introduction to Clinical Neurology, online course (University of California, San Francisco, U.S.A.).
Introduction to Neurohacking In R, online course (Johns Hopkins University, Baltimore, Maryland, U.S.A.).
Neural Networks for Machine Learning, online course (Toronto University, Toronto, Ontario, Canada).
Principles of fMRI 1, online course (Johns Hopkins University, Baltimore, Maryland, U.S.A.; and University of Colorado Boulder, Boulder, Colorado, U.S.A.).
Principles of fMRI 2, online course (Johns Hopkins University, Baltimore, Maryland, U.S.A.; and University of Colorado Boulder, Boulder, Colorado, U.S.A.).
Machine learning, online course (Standford University, Standford, California, U.S.A).
MRI Fundamentals, online course (Advanced Institute of Science and Technology of Korea, Yuseong, Daejeon, South Korea).
Introduction to Breast Cancer, online course (Yale University, New Haven, Connecticut, U.S.A).
3 EXPERIENCE
From: 9/2015, To: 4/2016. Social service in the department of Biomedical Engineering in the Hospital de Especialidades Médicas de la Salud. Support in daily and weekly reviews of medical equipment in different areas of the hospital, as well as support in preventive, corrective and support maintenance. Support in the management of medical equipment, inventory control and daily incidents. As a social service project, development of quick guides for medical equipment user personnel and development of check-lists for the preventive maintenance of medical equipment of high priority.
From: 6/2016, To: 8/2016. Professional Practices in the Academic Unit of Electrical Engineering, Universidad Autónoma de Zacatecas (Zacatecas, Zacatecas, Mexico). Certification Course in “Machine Learning” (Stanford University). Use of software for the development of models contained by features extracted from mammography images for the classification of breast tumors based on computer-aided diagnosis (CADx).
From: 6/2016, To: 12/2018. Consejo Zacatecano de Ciencia, Tecnología e Innovación (COZCYT, Zacatecas, Zacatecas, Mexico) Academic support in the free software laboratory, COZCYT.
From: 6/2016, To: 8/2016. Research stay in the Universidad Autónoma de Zacatecas (Zacatecas, Zacatecas, Mexico) Summer of Science (2016) “Development of imaging biomarkers for clinical screening of breast cancer”.
From: 6/2017, To: 8/2017. Assistant teacher in the Universidad Autónoma de Zacatecas (Zacatecas, Zacatecas, Mexico). Classes of algebra and trigonometry.
4 SKILLS
General: Punctuality, responsibility, patience, quick solution to problems, teamwork, spontaneity, commitment, initiative, adaptability.
Specific in the area: Knowledge in medical equipment electronics, management of electrical safety analyzer equipment and biosignal simulators. Knowledge of hospital regulations. File management in the administration of the area. LaTeX management. Microsoft office management. English (TOEFL IBT 84).
5 OTHER INTERESTS
Big data, Data science, Machine learning, Artificial intelligence, Neuroscience, Bioinformatics, Biostatistics, Image processing, Neuroimaging, Medical imaging, Clinical neurology, Detection and diagnostic of diseases.
6 RESEARCH EXPERIENCE
Practical Skill: Artificial Intelligence and Machine Learning. Experience in this area through different research projects and classes, working with different machine learning algorithms for classification, regression and feature selection, such as genetic algorithms, decision trees, artificial neural networks, deep learning, among others. In these projects it has been looking for features that allow to classify between case and control subjects in order to find specific descriptors of different conditions (dental caries, breast cancer, osteoarthritis, depression, diabetes).
Practical Skill: Bioinformatics. Experience in bioinformatics through the summer of science I did at the Autonomous University of Zacatecas and the development of my thesis projects “Multivariate model based on computer-aided diagnosis for breast cancer diagnosis using mammography features “, where the preliminary study of mammography data was made for the development of an imaging biomarker that would allow classifying between benign and malignant breast tumors, and “Association of demographic and dietetic descriptors with dental caries for the development of a preventive diagnostic tool”, where the relationship between a series of determinants and dental caries was sought to identify a diagnostic tool to support specialists.
Practical Skill: Data Analysis and Data Mining. Experience in data mining and data analysis through classes and different online courses, in addition to gaining experience in the different research projects looking for significant information of large amounts of data, in order to find key points for the solution of different problems, including diseases.
Practical Skill: Computer Programming. Experience in programming through different classes and online courses. Languages: c ++, Python, R, Arduino and Matlab.
6.1 PEER-REVIEWED ABSTRACTS AND PUBLICATIONS
Galván-Tejada, C. E., Zanella-Calzada, L. A., Galván-Tejada, J. I., Celaya-Padilla, J. M., Gamboa-Rosales, H., Garza-Veloz, I., & Martinez-Fierro, M. L. (2017). Multivariate feature selection of image descriptors data for breast cancer with computer-assisted diagnosis. Diagnostics, 7(1), 9.
Chávez-Lamas, N. M., Zanella-Calzada, L. A., & Galván-Tejada, C. E. (2017). An Analysis of Dietary and Demographic Data in Oral Health, Data from the National Health and Nutrition Examination Survey: A Preliminary Study. Research in Computing Science, 142, 79-88.
Luna-Gómez, C. D., Zanella-Calzada, L. A., Acosta-García, M. A., Galván-Tejada, J. I., Galván-Tejada, C. E., & Celaya-Padilla, J. M. (2017, March). Can multivariate models based on MOAKS predict OA knee pain? Data from the Osteoarthritis Initiative. In Medical Imaging 2017: Computer-Aided Diagnosis (Vol. 10134, p. 1013445). International Society for Optics and Photonics.
Zanella-Calzada, L. A., Galván-Tejada, C. E., Galván-Tejada, J. I., & Celaya-Padilla, J. M. (2017, October).
Feature Selection from Image Descriptors Data for Breast Cancer Diagnosis Based on CAD. In Mexican International Conference on Artificial Intelligence (pp. 294-304). Springer, Cham.
Laura A. Zanella Calzada, Jorge I. Galván Tejada, Carlos E. Galván Tejada y José M. Celaya Padilla. (2017).
Desarrollo de herramientas basadas en CAD para el diagnóstico temprano de cáncer de mama.
Komputer Sapiens, Revista de Divulgación de la Sociedad Mexicana de Inteligencia Artificial, 9(3), 8.
Zanella-Calzada, L. A., Galván-Tejada, C. E., Chávez-Lamas, N. M., Gracia-Cortés, M. D. C., Moreno-Báez, A., Arceo-Olague, J. G., … & Gamboa-Rosales, H. (2018). A Case/Control Study of Socio-Economic and Nutritional Characteristics as Determinants of Dental Caries in Different Age Groups Considered as Public Health Problem: Data from NHANES 2013-2014. International journal of environmental research and public health, 15(5), 957.
Zanella-Calzada, L. A., Galván-Tejada, C. E., Chávez-Lamas, N. M., Galván-Tejada, J. I., & Celaya-Padilla, J. M. (2018, February). Multivariate features selection from demographic and dietary descriptors as caries risk determinants in oral health diagnosis: Data from NHANES 2013-2014. In Electronics, Communications and Computers (CONIELECOMP), 2018 International Conference on (pp. 217-224). IEEE.
Zanella-Calzada, L., Galván-Tejada, C., Chávez-Lamas, N., Rivas-Gutierrez, J., Magallanes-Quintanar, R., Celaya-Padilla, J., … & Gamboa-Rosales, H. (2018). Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013-2014. Bioengineering, 5(2), 47.
Galván-Tejada, C. E., López-Monteagudo, F. E., Alonso-Gonz€lez, O., Galván-Tejada, J. I., Celaya-Padilla, J. M., Gamboa-Rosales, H., … & Zanella-Calzada, L. A. (2018). A Generalized Model for Indoor Location Estimation Using Environmental Sound from Human Activity Recognition. ISPRS International Journal of Geo-Information, 7(3), 81.
Galván-Tejada, J. I., Arceo-Olague, J. G., Luna-García, H., Gamboa-Rosales, H., Celaya-Padilla, J. M., Zanella-Calzada, L. A., … & Galván-Tejada, C. E. (2018). General Linear Models for Pain Prediction in Knee Osteoarthritis: Data from the Osteoarthritis Initiative. Revista Mexicana de Ingeniería Biomédica, 39(1), 30.
Zanella-Calzada, L. A., Galván-Tejada, C. E., Chávez-Lamas, N. M., Gracia-Cortés, M., Magallanes- Quintanar, R., Celaya-Padilla, J. M., … & Gamboa-Rosales, H. (2019). Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients. Diagnostics, 9(1), 8.
J. I. Galván-Tejada, C. E. Galván Tejada, F. E. López-Monteagudo, O. Alonso-González, A. Moreno-Báez, L. A. Zanella-Calzada. (2019). Image Registration Measures and Chronic Osteoarthritis Knee Pain Prediction: Data from the Osteoarthritis Initiative. Revista Mexicana de Ingeniería Biomédica, 40(1), 1-13.
Alcalá-Rmz, V., Zanella-Calzada, L. A., Galván-Tejada, C. E., García-Hernández, A., Cruz, M., Valladares- Salgado, A., … & Gamboa-Rosales, H. (2019). Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks. International journal of environmental research and public health, 16(3), 381.
Galván-Tejada, C. E., Galván-Tejada, J. I., & Celaya-Padilla, J. M. Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection. In Pattern Recognition: 11th Mexican Conference, MCPR 2019, Querétaro, Mexico, June 26–29, 2019, Proceedings (p. 398). Springer.
6.2 ATTENDANCE AT CONFERENCES AND WORKSHOPS
Congreso Nacional de Ingeniería Biomédica (2012, 2013, 2014, 2015) and workshops in different areas of Biomedical Engineering.
Encuentro Nacional de Ciencias de la Computación (2016) with the poster entitled “Búsqueda de modelo univariado en características de datos descriptores de imágenes para cáncer de mama con diagnóstico asistido por computadora”.
SPIE Medical Imaging (2017) with the poster entitled “Can multivariate models based on MOAKS predict OA knee pain? : Data from the Osteoarthritis Initiative”.
International Conference on Computer Networks Application (2017) with the oral presentation “An analysis of dietary and demographic data in Oral Health, data from the National Health and Nutrition Examination Survey: A preliminary study”.
Mexican International Conference of Artificial Intelligence (2017) with the oral presentation “Feature selection from image descriptors data for breast cancer diagnosis based on CAD”.
Congreso Internacional de Software Libre (2017) with the oral presentation “Herramientas de CAD para el diagnóstico de EA”.
International Conference on Computer Networks Applications (2017) with the oral presentation “An analysis of dietary and demographic data in Oral Health, data from the National Health and Nutrition Examination Survey: A preliminary Study”.
International Conference on Electronics, Communications and Computer (2018) with the oral presentation “Multivariate features selection from demographic and dietary descriptors as caries risk determinants in oral health diagnosis: data from NHANES 2013-2014”.
Core Congress (2018) with the oral presentation “An analysis of demographic and dietary data with an oral health approach, a preliminary study using genetic algorithms”.
International Conference on Computer Networks Applications (2018) with the oral presentation “A preliminary approach to find linked determinants between diabetes and caries using genetic algorithms”.
Congreso de Investigación en Salud Pública (2019) with the poster “Actividad motora como método de diagnóstico en pacientes con depresión”.
6.3 HONOURS AND AWARDS
Consejo Nacional de Ciencia y Tecnología (CONACyT) (2016) Science summer scholarship.
Universidad Autónoma de San Luis Potosí (2016) Academic excellence award.
“Encuentro Nacional de Ciencias de la Computación” (2016) Best poster award “Búsqueda de modelo univariado en características de datos descriptores de imágenes para cáncer de mama con diagnóstico asistido por computadora”.
Consejo Nacional de Ciencia y Tecnología (CONACyT) (2017 — 2019) Academic scholarship of excellence.
Mesa Redonda Panamericana (2012-2016) Academic scholarship of excellence.
Consejo Zacatecano de Ciencia y Tecnología (COZCYT) (2019) Best project award in the InnovaHack 2019 eHealth, in the vertical diagnosis and prevention of diseases, with the subject “A support platform for the early detection of breast cancer and access to information”.
7 REFERENCE CONTACT
• Dr. Carlos E. Galván Tejada
Teacher researcher
Autonomous University of Zacatecas / Academic Unit of Electrical Engineering
ericgalvan@uaz.edu.mx
(+52) 1 49 2544 0968
• Dr. Jorge I. Galván Tejada
Teacher researcher
Autonomous University of Zacatecas / Academic Unit of Electrical Engineering
gatejo@uaz.edu.mx
(+52) 1 81 1039 6526
• Dr. Aldo Rodrigo Mejía Rodríguez
Teacher researcher
Autonomous University of San Luis Potosí / Faculty of Sciences
aldo.mejia@uaslp.mx
(+52) 1 44 4657 1930
• Elena Ochoa-Albíztegui MD, MSc
Breast Imaging Radiology
Memorial Sloan Kettering Cancer Center
eochoa.albiztegui@gmail.com
+1 (206) 488 7992
