Making sense of data is one of the great challenges of our century. While it is becoming easier to collect all kinds of data, from personal medical data, to online, scientific, public, and/or commercial data, creating interpretable knowledge from this data and separating out the consistent patterns from the noise is a very challenging task. Analyzing such data often requires developing new methodologies, models and computational tools. My main research interest is to think about these problems from theoretical, applied and computational angels. I love to collaborate with researchers from other disciplines and learn about their interesting problems and possibly develop novel methodologies and new statistical techniques to address their research problems.

I colaborate with

• scientists, doctors, and clinicians, 
• researches from research institutes, health community centers,
• hospitals, industries and businesses,
• and private sectors across Canada and Globe. 

My research is also supported by NSERC, Mitacs, Manitoba Hydro, University of Manitoba, CANSSI, etc.

I love teaching and teaching is a very important aspect of my academic duties. I have taught several courses at undergrdaute and gradute levels. I have taught several theoretical to applied course in Statistics, including  statistical learning, multivariate data analysis,  statistical inference, Mathematical statistics, ranked set sampling, etc. 

Supervision of highly qualified personnel (HQP) has been one of the main priorities in my academic life. Graduate students play important roles in my research program. In my research group, we usually have weekly seminars presented by myself, my visitors or other members of the group. These seminars expose students to a broad range of topics, and contribute to different aspects of HQP training such as critical thinking in research and problem solving abilities as well as communication skills.

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