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Dr. Thomas Sierocinski was trained as a mathematician, bioinformatician and geneticist. He has worked in life sciences for the last 7 years. Thomas holds two MSc (genetics and bioinformatics) and a PhD in Applied Mathematics from the University of Rennes, France. After moving to Canada, he has worked as a post-doctoral Research Scientist at University of British Columbia in collaboration with the Department of Fisheries and Ocean in the frame of the Cohen commission. He then became a consultant before being a full time employee for GenomeDx Biosciences Inc as a senior bioinformatician focused on Preprocessing, Quality Control and numerical optimization for biomarkers in a regulated environment. His experience encompasses all numerical aspects of biomarker development and related processes automation.

  

    T h O m a s     "a t"     grin     one    "dot"   com                                                  https://ca.linkedin.com/pub/thomas-sierocinski/89/977/285






Kelsey has decades of experience playing with "Big Data". From analysing major telephone companies historical call records, micro transaction analysis for banks, to helping scientists unravel the mysteries of our genome. He has solid academic and technical foundations and has experience delivering products across multiple domains. An enthusiastic coding wizard, rigorous but easy-going, he possesses a rich understanding of industry best practices gained over the last 20 years of developing cutting edge software.





   mailto:klc@grinone.com K  L  C   "at"    grin  one  "dot"  com                                                                     https://ca.linkedin.com/pub/kelsey-hamer/b1/674/540






Why choose us?

We have aquired a wide array of expertise and helped organizations glean important insights about their data. Our services range from data mining projects to long-term engagements in building an analytics infrastructure. We offer a unique mixture of state-of-the-art data mining expertise and decades of experience in big data  and software engineering on high visibility projects.