Sam Benkwitz-Bedford

Researcher in the Centre for Computational Biology

What is your Academic background and current research field?

I am currently a finishing PhD student and Research Fellow (Bioinformatics) within the Centre for Computational Biology (CCB). My academic background is in Computer Science and AI, recently focused upon application toward understanding biological systems. For example, using tracking and agent-based modelling algorithms to observe cancer cell movement and visualize patterns of behaviour. Or gradient boosted regression models to link E-coli gene structure to phenotypic change.  

Which BEAR Services have been most helpful to you in your research?

I have received extensive support from both BEAR and CaStLeS in my time at the University:

  • CaStLeS working virtual environments
  • Website hosting for crowd sourced data comparison
  • BEAR parallel computing for large scale number crunching
  • RDS and BEAR DataShare for keeping data secure and available where necessary [Note from Editor: BEAR DataShare is now retired - see this KB article for alternative options]

The in person and issue-based support from the wider BEAR team has also been exemplary throughout. I cannot recommend them enough.

How widespread do you think BEAR Services are known in your School and how do you plan to spread the word?

Awareness of both BEAR and CaStLeS is quite well developed within the CCB, it is a symptom of how essential they are to common high compute tasks. I therefore plan to maintain awareness, attend BEAR events wherever possible and serve as a conduit to information regarding services and upcoming changes.

How can researchers in your School/College contact you?

Via e-mail:

The current climate precludes contact at the office, but I am always happy to schedule virtual meetings or respond to questions!