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Office Location

440 Huntington Avenue
310 West Village H
Boston, MA 02115

Biography

Sara Mohammad Taheri is a PhD student studying computational biology at Northeastern University’s College of Computer and Information Science, advised by Professor Olga Vitek. A native of Tehran, Iran, Sara earned both her bachelor’s degree and master’s degree in mathematics from Sharif University of Technology.

Sara’s research area includes causal inference of bimolecular networks and she is a member of the Statistical Methods for Studies of Biomolecular Systems group. Sara hopes her research and work will lead to the betterment of individuals’ lives.

Education

  • MS in Mathematics, Sharif University of Technology – Iran
  • BS in Mathematics, Sharif University of Technology – Iran

About Me

  • Hometown: Tehran, Iran
  • Field of Study: Computational Biology
  • PhD Advisor: Olga Vitek

What are the specifics of your graduate education (thus far)?

I am a PhD student being advised by Professor Olga Vitek. I am interested in uncovering the regulatory relationships between molecules in a cell by researching on the causal inference of biomolecular networks.

What are your research interests?

I am interested in causal inference of biomolecular networks for experiments that quantify molecular abundance with multiple biotechnological platforms, and differ in the amounts of technological artifacts and noise.

I am also interested in developing statistical and computational methods and open source software for systems-wide molecular investigations of biological organisms including quantitative genomics, proteomics etc., that rely on mass spectrometry to characterize the components of the biological systems, their functional interactions, and their relevance to disease.

What’s one problem you’d like to solve with your research/work?

I am working on learning the structure of a network from experiments that quantify molecular abundance with multiple biotechnological platforms, and differ in the amounts of technological artifacts and noise. Such heterogeneous platforms present a challenge, as they compromise the accuracy of the inference. I like to focus on inferring the structure of the network from measurements with heterogeneous noise and cancel the effect of noise.

What aspect of what you do is most interesting?

The field I am working can have positive effects on the lives of individuals and that is very important to me.

What are your research or career goals, going forward?

I may stay in academia or work as a researcher in industry.

Where did you grow up or spend your most defining years?

I grew up in Tehran, Iran.

Where did you study for your undergraduate degree?

I studied at Sharif University of Technology, Tehran, Iran.