Surgical Innovation Lab
M3-204
UMKC School of Medicine
2411 Holmes Street
Kansas City, Missouri 64108
Email
Ms. Casey Stauber
Administrative Assistant
to Dr. Sutkin
(816) 235-6785
stauberc@umkc.edu
Advisor: John Foxworth, Pharm.D.
foxworthj@umkc.edu
816-235-1925
Endocrinology Fellowship
University Health
2301 Holmes Street
Kansas City, MO 64108
Phone: 816-404-0950
Fellowship Coordinator:
Tani Daumas
Phone: 816-404-0917
Taneska.Daumas@uhkc.org
UMKC School of Medicine
2411 Holmes Street
Kansas City, MO 64108
Phone: 816-235-1808
2101 Charlotte
Kansas City, MO 64108
Phone: 816-404-1780
Sleep Fellowship
University Health Truman Medical Center
2301 Holmes Street
Kansas City, MO 64108
Phone: 816-404-0917
Fellowship Coordinator:
Tani Daumas
Phone: 816-404-0917
Taneska.Daumas@uhkc.org
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Medicine Residents
Med-Peds Residents
Department of Internal Medicine
University Health Truman Medical Center
2301 Holmes Street
Kansas City, MO 64108
Phone: 816-404-0950
E-Mail: intmed@umkc.edu
Greyson Twist
Hometown: Anthony, KansasUndergraduate Major: Clinical Laboratory Science, University of Kansas School of Allied Health (KU Med)
Post-baccalaureate work experience:
Bioinformatics Software Engineer at the Children’s Mercy Center of Pediatric Genomic Medicine
Program in or completed at UMKC:
Master of Science Bioinformatics, Computational Emphasis UMKC (graduated December 2014), current student in the Bioinformatics IPhD Program
Why did you choose UMKC?
I chose UMKC for the flexibility to move at my own pace, small in person classes, ability to work on projects I was interested in, and knowledge able faculty that were willing to help me solve problems.
What excites you about bioinformatics?
A lot of the fun of science is building new things, showing it to people and having them say “WOW that is really cool,” then listening to them grumble about why they didn’t think of that first. With the increasing cost of lab reagents and experiments focusing on bulk generation of data, most of the creative science work now involves data analysis and manipulation. Using computers and a thorough understanding of biology (bioinformatics), data is already generated (free) and compute power doubles every 2 years (approaching free). The only limit on creating new things are good ideas and a strong skill set.
What are your research interests?
Building tools to enable pharmacogenomic research and clinical implementation, as well as whole genome and whole exome sequencing, variant impact prediction, and haplotype set annotation.
How do you plan to use your degree in your career?
I use it every day building software, designing user interfaces, and working to enable a genomic medical system.
What advice would you give to prospective students?
Find a problem that you want to try and solve – big or small it doesn’t matter. Have an idea coming into the program; it will help keep you focused, and you will be surprised how taking classes will spark new insights and ideas.