Karina Liceaga

Biomedical Engineer | Olympus Marketing Analyst | INSP Data Analyst and Visualization | Generative AI Model Trainer

Hello world, I´m

About Karina

As a Biomedical Systems Engineer, I bridge the gap between clinical practice and data-driven innovation. I have developed VR simulations for hospital training and leveraging data analytics (Python, SQL, Power BI) to optimize strategies in the medical device sector. A core driver in my career has been the desire to learn from diverse cultures and world healthcare systems, understanding the different global approaches to improving medical technology.

From managing product launches to analyzing clinical workflows, I have seen firsthand that the future of medicine lies in intelligent technologies that are not only innovative but also safe, effective, and rigorously validated. I am now seeking opportunities to formally deepen my expertise in transforming complex data into actionable clinical solutions.

My Journey

Bachelors of Science in Biomedical Systems Engineering Universidad Nacional Autónoma de México | 2021 - 2025 *Thesis: "Power Bi Visualization of Response and Mortality Rates of ESMaestras from SAS programming" The study addressed the challenges of data overload in the public health system by leveraging SAS programming for data cleaning and developing an interactive PowerBI dashboard. The project focused on visualizing the response and mortality rates within the ESMaestras cohort, a group of active and retired Mexican teachers. *Grade 9.42/10

High School Honors Graduate Bishop Gorman High School | 2014 - 2018 *Member of the National Honor Society and active tutor of subjects like: Mathematics, Spanish, and English creative writing. *GPA: 3.92 / 4.0

Data Science & Engineering in Medicine & Biology Scholar IEEE Engineering Medicine & Biology Society | 2024 *Attended and successfully completed the BIO-X Summer Leadership Academy Program in Chania, Greece. Learned about: AI impact in Healthcare, Wearable and AI for diabetes prevention, AI with XR, Biomarkers discovery using OMICS and AI, Computational Brain Science, Deep Learning Neural Network, Microfluidic Technologies, Synthetic Data, and more...

Languages

  • Spanish: Native

  • English: Fluent (IELTS C1)

  • French: Basic (B2)

  • Italian: Actively Learning

Biology Pre-Professional Concentration (One Year Studies) University of Nevada, Las Vegas | 2018 - 2019 *UNLV Honors *ENGELSTAD Scholar *Governor Guinn Millenium Scholarship

Get in touch

Feel free to reach out for collaborations or questions.

A clean, minimalist workspace with a laptop and a notebook ready for notes.
A clean, minimalist workspace with a laptop and a notebook ready for notes.