Brandeis GPS Blog

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Tag: M.S. in Bioinformatics

Brandeis GPS Student Spotlight

Headshot of Michelle Ysrael, Bioinformatics '23Student Spotlight

Michelle Ysrael ’23

Los Angeles, CA

Veterinary Technician at VCA Animal Hospitals

Program: MS in Bioinformatics

In her free time, Michelle likes to surf and read. She also likes to spend time with her cat, Lily, and her corgi, Cannoli.

Get to know Michelle Ysrael! 

Why did you choose Brandeis GPS?
I was really impressed with the range of courses offered in the Bioinformatics program that provided the biological and mathematical background needed to understand how computational analysis can be applied towards scientific/clinical research. I was also looking to complete my degree in about a year, and this program offered a way to do that alongside a part-time work schedule.

What inspired you to choose your field of study?
I have been working as a veterinary technician since graduating from college to gain clinical experience, and wanted to expand my knowledge to be able to work in other areas of the veterinary field, including research and technology/drug development. I wanted to gain a toolset that would allow me to bridge the gap between bench science and clinical application, and felt that bioinformatics was the field most involved in this translational research. I also felt learning how to work with data would be a valuable skill to have in any career direction I took, and being able to learn how to do this through a biology-driven lens sounded interesting.

How have you enjoyed your experience at Brandeis thus far?
The transition to remote learning was daunting at first, but since learning how to make and stick to my study schedules and utilize the resources available through Brandeis I have felt much more confident in my ability to work independently. I have also learned how to efficiently use Google — there is a skill to it (lol). The required discussion posts have stimulated interesting discussions and helped me learn more about my peers and their lines of work and interests.

What has been your favorite class to-date?
I really enjoyed my last class, RBIF 112: Mathematical Modeling for Bioinformatics, because it was an extension to a previous class where we learned the basics of R programming and statistical analysis. In this class, we got to apply what we learned and use the tools we acquired to access publicly available datasets, process and transform data for statistical analysis, apply classification methods for data exploration, and build models for the investigation of biological systems and processes. The class was set up to allow us to find our own particular coding style and methods of data exploration.

What are your hopes and aspirations for the rest of your time at Brandeis?
I hope to further develop my coding abilities and be able to more critically read and interpret scientific studies.

What are your plans for after graduation?

There are a lot of different applications for bioinformatics, which is exciting to me. I plan on eventually applying my knowledge towards animal research and wildlife management, and have been looking at jobs that span clinical research to environmental consulting, where I hope to aid in making data translational and accessible.

What advice would you give to upcoming students?

Don’t be afraid to reach out to your peers! Setting up Slack groups has been so important in the remote learning process. Also go to office hours and talk to your professors, they are very knowledgeable and want to see you succeed!

For more information on the MS in Bioinformatics or any other GPS programs, visit our website.

Faculty Spotlight: Bioinformatics

Woman stands in front of greenery and cacti, smilingFaculty: Alexandra Maertens

Program: Bioinformatics

Spring-2 Course: RBIF 114: Molecular Profiling and Biomarker Discovery

Education: PhD in Toxicology, Johns Hopkins Bloomberg School of Public Health

Bio: Alexandra Maertens is an Assistant Scientist at the Center for Alternatives in Animal Testing at the Johns Hopkins Bloomberg School of Public Health and a consultant at the Consortium for Environmental Risk Assessment. Alexandra is interested in how many new mechanisms of genetic regulation are being uncovered – every day more is learned about the importance of DNA architecture, epigenetic mechanisms, non-coding RNA.

What can students expect to learn in this course? 

In this course, students will learn basic bioinformatics analysis techniques to understand omics data and connect that data to biomarkers that can be used to predict relevant health outcomes, as well as some newer technologies such as proteomics and metabolomics.

What do you enjoy about teaching this course?

I enjoy the variety of students – ranging from MDs who are brushing up their -omics skills to bench scientists looking to explore bioinformatics.

Anything else you would like to share with a prospective student?

Don’t be intimidated by the coding – there is of course a bit of a learning curve, but it is not as steep as it appears!


For more information on the Bioinformatics MS or other online master’s degrees available at GPS, please visit brandeis.edu/gps.

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