Laure Bien Aime

Laure Bien Aime poses for a headshot in Nashville, Tennessee.

Ph.D. Biomedical Data Science

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M.S. Data Science

M.S. Biomedical Data Science

Ph.D. Biomedical Data Science

Laure Bien Aime is a Ph.D. Biomedical Data Science student whose research interests include Generative Artificial Intelligence in Drug Discovery. She also works as a Clinical Data Analyst and has been able to apply her Meharry education to that role.

After graduation, Bien Aime hopes to pursue AI as Subject Matter Expert (SME), teach and become an innovative health care leader by bridging the gap between academia and industry.

Learn more about Laure in the FAQ below.

Please briefly describe both your educational and professional background. Please include the industry for any professional experience.

I have a Bachelor of Arts in Organizational Leadership and a Master of Science in Biomedical Informatics. I’ve worked in health care and my professional career consists of the following roles: implementation analyst, project management, associate program manager-data analytics, and clinical data analyst.

Describe your experience in computer science, programming, or statistics before starting your program. How did you become interested in data science?

I became interested in data science while pursuing my Master of Science Biomedical Informatics. Before I graduated, I had exposure to the following programming languages and statistical, business intelligence and analytics software: Python, R, Java, JMP, and QlikSense and Tableau. It piqued my interest and I wanted to delve deeper into the realm of data science.

Why did you decide to study data science at Meharry?

While doing my research and due diligence in finding the right program, I found that the Meharry Medical College Ph.D. in Biomedical Data Science provides a curriculum that will equip me to become a successful data scientist.

What do you hope to accomplish with your degree?

I plan to acquire sound knowledge in data science and delve into the realm of artificial intelligence as a Subject Matter Expert (SME), teach and become an innovative health care leader by bridging the gap between academia and industry.

Do you have any research goals or interests that you wish to pursue during the program?

I am interested in generative AI in drug discovery.

What has been your favorite class so far?

Advanced Biostatistics has been my favorite class so far.

Have you been employed while you pursue your degree? If so, have you been able to apply what you have learned in your current role?

Yes, I have been employed while pursuing my degree and apply what I have learned in my position as a clinical data analyst.

Have you worked on any research projects? If so, with which faculty? Please also describe your project.

I am currently working on Using Machine Learning to Predict: Signals Metrics of Vocalization with my fellow Ph.D. classmate Loni Taylor.

There is strong evidence that suggests different vocal patterns can be correlated to the lifestyles and health of different individuals. We want to see how much of an effect the health determinants can have on the voices of different populations. The data includes 208 clinically verified voice samples from 150 pathological voices and 58 healthy voices.