Anjali Silva

Research Area: 
Mixture model-based clustering, Bioinformatics
Summary: 

I am engaged in developing efficient and robust statistical clustering techniques to analyze biological data. These findings have applications in improving human health and food security.  

Profile

Program(s)

Bioinformatics, PhD

Mathematics & Statistics

How my Research will Improve Life… 

As a doctoral student in Bioinformatics, I am engaged in developing efficient and robust statistical clustering techniques to analyze biological data. My advisors and I have been fortunate to work with several local and international collaborators to apply these methods to decipher human disease mechanisms and to understand how plants response to various stresses. These findings have applications in improving human health and food security.  

Why I Chose Guelph… 

My academic curiosity propelled me into Bioinformatics research. Upon completing undergraduate studies in Genetics, I was looking for opportunities to build on this foundation. The Bioinformatics program at University of Guelph seemed to be the right fit. 

My Future Plans… 

After graduation, I would like to continue with Bioinformatics research at the industry or academic level. Guelph has helped me reach this goal by offering numerous scholarships to support my doctoral studies, which helped me focus on research. Further, I was able to attend conferences to present my work and build a strong network with academic and industry researchers.