Ep18 - Flavors of Computational Biology

Posted on Tuesday, Sep 22, 2020
In this episode, your hosts, Dr. Sabah Kadri and Arshi Arora bring to you united yet diverse sub fields of Computationally Biology in the voice of four different scientists. They cover their background, specialty and what drew them to Computational Biology in the first place.

Show Notes

Our guests for this episode are -

Dr. Arvind Ramanathan, Dr. John Sekar, Dr. Shan Zhong and Dr. Devin Sullivan


Flavors of Computational Biology

Flavors of Computational Biology

Dr. Arvind Ramanathan, computational biologist in the Data Science and Learning Division at Argonne National Laboratory and a senior scientist at the University of Chicago Consortium for Advanced Science and Engineering (CASE).

Dr. John Sekar, post doctoral research fellow at Icahn School of Medicine at Mount Sinai, New York.

Dr. Shan Zhong, Principal Scientist in Translational Computational Biology at GSK.

Dr. Devin Sullivan, Senior Bioinformatics Scientist at Encodia.


Arshi Arora

Arshi Arora

Arshi Arora is a Research Biostatistician at Memorial Sloan Kettering Cancer Center. She holds a double Masters of Science degree in Computational Biology and Biostatistics from Carnegie Mellon and Columbia University respectively. Her interests lie in creating elegant solutions to biological and clinical questions via simple yet compelling statistical models. She is a minimalist and follows an intense recycling waste regimen.

Sabah Kadri, PhD

Sabah Kadri, PhD

Dr. Sabah Kadri has a background in Computer Engineering with a PhD in Computational Biology from Carnegie Mellon University. Dr. Kadri leads a team of bioinformaticians and scientists to design, develop and implement cloud-based computational infrastructure and containerized bioinformatics software in clinical diagnostic services for germline and somatic next generation sequencing (NGS) testing. She has experience building clinical diagnostics pipelines and systems for adult and pediatric diseases and continues to work on informatics solutions and research questions for translational ‘omics’ and biomedical research to promote personalized medicine.