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Rocío Aliaga
Profesor Investigador en la Facultad de Ingeniería de la Universidad del Pacífico na Universidad del Pacífico (PE)
Professional Background
Rocío Maehara Aliaga, PhD, is an accomplished academic and researcher in the field of statistics, well-regarded for her extensive work and contributions to various statistical models and methodologies. Currently serving as a Professor of Engineering at the prestigious Universidad del Pacífico in Peru, Rocío combines her deep theoretical knowledge with practical applications in her teaching and research. With a career that bridges complex statistical theory and real-world application, she has made an impact not only in academia but also within the broader scientific community.
Rocío's professional journey began with her Bachelor’s degree in Statistical and Computer Engineering at the National Agrarian University, where she laid a strong foundation in both statistics and computer science. Following this, she sought to enhance her expertise by pursuing a Master’s degree in Statistics at UNICAMP, where she honed her skills in data analysis and statistical modeling. Rocío's commitment to advancing her education culminated in her obtaining a PhD in Statistics from the renowned University of Sao Paulo (USP), where she was recognized as a CNPq PhD Fellow.
Throughout her academic career, Rocío has held several pivotal positions. As a former Professor at both the Pontificia Universidad Católica del Perú and Universidad del Pacífico, she has shaped the minds of many students in the field of statistics and engineering. Additionally, she served as a Teaching Assistant at both USP and UNICAMP, guiding undergraduate students through their initial exposure to complex statistical concepts and fostering their interest in pursuing advanced studies. Moreover, her practical experience as a consulting analyst at IMS Health equipped her with the necessary skills to approach statistical problems from a business perspective, enhancing her ability to bring real-world contexts into her academic teachings.
Education and Achievements
Rocío's educational qualifications reflect her dedication to the field of statistics, beginning with her Bachelor's degree, which laid a robust groundwork for her analytical skills. After completing her undergraduate studies in 2009, she advanced to obtain a Master’s degree in Statistics in 2014 at UNICAMP, further solidifying her expertise in statistical methodologies. What truly distinguishes her academic background is her pursuit of a PhD in Statistics from the University of Sao Paulo, during which she excelled in her research and was awarded a prestigious CNPq PhD Fellowship, an honor that underscores her potential within the scientific community.
Her academic pursuits have led her to specialize in several intricate areas of statistics, including asymmetric-elliptical distributions, linear and nonlinear mixed effects models, as well as finite mixture distributions. Rocío's expertise in these areas not only reflects her technical capabilities but also highlights her innovative approach to statistical theory, which is relevant across a myriad of applications in research and industry.
Achievements
Rocío has dedicated her career to enhancing educational practices in statistics and engineering while simultaneously contributing to significant research in the field. Her publication record is a testament to her active engagement with current statistical challenges, and her work has been instrumental in pushing the boundaries of knowledge in her specialty areas. She has collaborated with fellow academics and researchers, sharing her insights and findings through various conferences and seminars, fostering a collaborative environment in the academic community.
Beyond the confines of the classroom, Rocío's role as a consulting analyst at IMS Health involved working on real-world statistical problems, providing insights that help in decision-making processes within complex healthcare data contexts. This experience has allowed her to bridge the gap between theoretical concepts and practical applications, which she effectively conveys to her students.
Her dedication to teaching and research has not gone unnoticed. Rocío has been recognized for her exceptional ability to convey intricate concepts in an accessible manner, fostering an engaging learning environment for her students. Her passion for statistics is infectious, making her a sought-after mentor for students pursuing careers in data analysis, engineering, and related fields.
As Rocío continues her journey in academia, she remains committed to contributing to the advancement of statistical methodologies while inspiring the next generation of statisticians and engineers. Her ability to connect theory with application makes her a valuable asset to any educational institution and the broader scientific community.
