Diamond Age Data Science
Katie D'Aco is a seasoned professional in the field of bioinformatics, currently serving as a Principal Scientific Consultant at Diamond Age Data Science since September 2019. Prior experience includes roles as a Scientific Technical Leader I in Bioinformatics at Novartis Institutes for BioMedical Research from April 2015 to September 2019, and as a Scientist III in Bioinformatics at Life Technologies from February 2013 to April 2015. Katie began their career as a Bioinformatics Scientist at Knome Inc from August 2010 to February 2013 and previously worked as a Research Associate at Brigham and Women's Hospital in early 2010. Katie also has experience as a Process Technician II in Process Development at the Broad Institute from December 2006 to August 2008. Academically, Katie D'Aco holds a Master of Science in Computational Biology from Carnegie Mellon University and a Bachelor of Science in Mathematics and Biotechnology from Tufts University, complemented by international studies at the School for International Training in 2005.
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Diamond Age Data Science
Diamond Age Data Science helps fast-moving biotech and small pharmaceutical companies make the best use of their data by building robust informatics systems and analyzing complex biological datasets. Clients can take advantage of a wide range of services: For fledgling companies, Diamond Age can function as a one-stop bioinformatics department, helping to answer both scientific and strategic questions (e.g., how to precisely identify mechanisms of action, where and how to store large/complex datasets, build vs. buy). For more mature companies, Diamond Age provides targeted bioinformatics services designed to fit into existing scientific strategies, with special expertise in transcriptional profiling and pathway analysis.