Events

HIIT Special Seminar: Mohieddin Jafari "Network Biomedicine: What Graph Theory Helps Me to Answer in Biology"

This talk is arranged by the Helsinki Institute for Information Technology
HIIT_SpecialSeminar

Network Biomedicine: What Graph Theory Helps me to Answer in Biology

Mohieddin Jafari
University of Helsinki

Tuesday 15 March 15:00-16:00
via Zoom: request the link by email: [email protected]
Note! The link will be sent by email to Aalto CS, Helsinki CS, Aalto ComNet, and Aalto SPA staff

Abstract: Network science is a data-driven mathematical approach to uncovering the complexity of systems. Biological complex systems could be modeled using various kinds of networks to get a better understanding of mechanistic biology. In this talk, I will outline my journey toward addressing biological questions using graph theory as a platform. I'll go through some of the R packages we've created, including IMMAN, CINNA, and NIMAA, as well as their applications and the context of underlying biological problems.

Bio: Mohieddin Jafari completed his PhD in Applied Proteomics at Beheshti University of Medical Sciences in Tehran in 2013. During his doctoral studies, he was a visiting scholar at the Harvard School of Public Health. He continued his education by receiving a Systems Biology Specialization Certificate from the Icahn School of Medicine at Mount Sinai in 2015.

He began working as a senior researcher at the University of Helsinki in 2018. His worked at the Institute for Molecular Medicine Finland (FIMM) for his first year as a researcher, and he later joined the ONCOSYS research program unit. During his time at the University of Helsinki, he received his Docentship in Bioinformatics and a 500K Euro grant from the Academy of Finland.

His principal area of research is computational modeling and bioinformatics tools for precision medicine, such as network science and biological data mining.

Helsinki Institute for Information Technology HIIT

Collaborative institute for research on information technology.

Read more
HIIT
  • Published:
  • Updated:
Share
URL copied!