Ep19 - Clinical Bioinformatics, Behind the Scenes (Exclusive Episode)

Posted on Tuesday, Sep 29, 2020
In this first of its kind episode in the field, host Dr. Sabah Kadri assembled a panel of distinguished Clinical Bioinformatics Directors for this very special episode. Dr. Eric Klee (Mayo Clinic), Dr. Ahmet Zehir (Memorial Sloan Kettering) and Dr. Matthew Hestand (Cincinnati Children’s) talk about being leaders in the field, the challenges of hiring clinical bioinformaticians and some good training practices. You will get to know these scientists up close and personal with some fun daredevil questions posed by our host and walk away with many lessons. This is one fun ride!.

Show Notes

Our guests for this episode are -

Dr. Eric Klee Director of Bioinformatics - Mayo Clinic Center for Individualized Medicine at Mayo Clinic

Dr. Ahmet Zehir Director, Clinical Bioinformatics at Memorial Sloan Kettering Cancer Center

Dr. Matthew Hestand Assistant Director, Bioinformatics, Division of Human Genetics Assistant Professor, UC Department of Pediatrics

Guests

Clinical Bioinformatics panel

Clinical Bioinformatics panel

Dr. Eric Klee Director of Bioinformatics - Mayo Clinic Center for Individualized Medicine at Mayo Clinic

Dr. Ahmet Zehir Director, Clinical Bioinformatics at Memorial Sloan Kettering Cancer Center

Dr. Matthew Hestand Assistant Director, Bioinformatics, Division of Human Genetics Assistant Professor, UC Department of Pediatrics

Hosts

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.


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