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Tatevik Jalatyan

 

WHY DID YOU CHOOSE THE MSC IN GENOMIC MEDICINE AT OXFORD?

Before applying to Oxford, I completed my BSc in Data Science at the American University of Armenia and went on to work as a junior researcher at the Armenian Bioinformatics Institute. There, I became deeply interested in how data science could be applied to solve complex problems in biology and medicine. This blend of academic training and practical research experience sparked a lasting passion for bioinformatics and motivated me to pursue a program that connects computational approaches with clinical impact. The MSc in Genomic Medicine at Oxford stood out for its integration of cutting-edge research with real-world medical applications. The program’s interdisciplinary curriculum, renowned faculty, and access to world-class research facilities offered the perfect environment to deepen my expertise at the intersection of bioinformatics, genomics, and medicine. 

WHAT WERE THE HIGHLIGHTS OF THE MSC IN GENOMIC MEDICINE FOR YOU?

The highlight of my year was undoubtedly my thesis project with the Beagrie group at the Centre for Human Genetics. I worked on developing a novel approach for inferring cell cycle phases using single-cell multiomics datasets. It was incredibly rewarding to contribute to research with the potential to improve our understanding of diseases influenced by cell cycle dysregulation, such as cancer, neurodegenerative, cardiovascular, and autoimmune disorders.  
 

Beyond research, I also enjoyed the hands-on wet-lab and computational sessions, which reinforced my technical skills through practical application. Attending seminars led by world-leading experts in genomics was another standout experience, offering valuable insights into the latest trends and innovative methodologies in the field. 

WHICH SPECIFIC ADVANCED ELECTIVE MODULES DID YOU CHOOSE, AND WHY?

I selected the following three elective modules: 

A3 Genome Engineering and Gene-based Therapeutics: Having previous research experience in genome engineering, I was eager to delve deeper into state-of-the-art techniques and explore how these are being translated into therapeutic interventions. 

A4 Single-Cell and Spatial Omics for Precision Medicine: I chose this module to gain hands-on experience in single-cell data analysis and to understand how these technologies are applied in clinical contexts—skills that proved invaluable during my thesis project. 

B2 Application of Genomics for Therapeutics, Vaccinology, and Industry: This module offered a broader perspective on the real-world impact of genomics across various domains, from drug development to vaccine research and biotechnology industries.  

TELL US ABOUT YOUR MSC RESEARCH PROJECT AND HOW IT CONTRIBUTED TO YOUR UNDERSTANDING OF GENOMICS AND RESEARCH SKILLS.

My research focused on developing an algorithm for cell cycle phase inference using single-cell multiomics datasets. Specifically, I worked on integrating chromatin accessibility and transcriptomic profiles of single cells to enhance cell cycle phase classification. With the increasing availability of multiomics datasets, this approach holds promise for deriving novel insights into cell cycle mechanisms in diseases and identifying potential therapeutic targets.  

Through this project, I deepened my understanding of single-cell genomics and advanced computational analysis methods, while also strengthening my skills in designing and implementing bioinformatics pipelines, collaborative problem-solving, and effectively communicating scientific findings. 

HOW DO YOU ENVISION THE MSC IN GENOMIC MEDICINE BENEFITING YOUR FUTURE CAREER OR ACADEMIC PURSUITS? 

The MSc provided a strong foundation in genomics, computational analysis, and research methodology—skills that are central to my career in bioinformatics and genomic data science. The program’s interdisciplinary training has equipped me to tackle complex biological questions using computational tools, preparing me for both academic research and industry roles. 

After completing the MSc, I joined the Beagrie group at the University of Oxford as a bioinformatician with a focus on developing algorithms for single-cell multiomics analysis. In the long term, I plan to pursue a Ph.D. in computational genomics or bioinformatics, building on the knowledge and experience gained during the MSc to contribute meaningfully to the advancement of bioinformatics and genomic medicine. 

IF YOU COULD OFFER ADVICE TO PROSPECTIVE STUDENTS CONSIDERING THE MSC IN GENOMIC MEDICINE AT OXFORD, WHAT WOULD IT BE?

Given the interdisciplinary nature of the course and the diverse backgrounds of students, I would highly recommend doing some preparatory self-learning before the program starts. For students with a biological or medical background, the computational components of the program may be challenging, while those with a data science or technical background may need to familiarise themselves with biological and clinical concepts. Taking time to bridge these gaps early on can make a big difference in navigating both the coursework and the research projects effectively.  

 

I’d also encourage students to embrace peer learning. The program brings together motivated, curious individuals from around the world, and sharing ideas, experiences, and perspectives will make the learning process more effective for everyone.