My research focuses on "how can computers be well assimilated in life sciences?".
I feel proud for currently associated with the UConn Health, School of Medicine, The University of Connecticut, USA, as the Lead responsible for the development and optimization of clinical information systems for receiving and analyzing diverse Clinical, Genomics, Diagnostic, Fiscal, Administrative, Big Data for the promotion of practice transformation and for reporting results to the Centers for Medicare & Medicaid Services and The Southern New England Practice Transformation Network (SNE-PTN). Before joining UConn Health, for couple of years, I was associated with The Jackson Laboratory, USA; a World class, non-profit research organization (since 1929) with 26 Nobel prizes stemmed for research.
I did Ph.D. in Bioinformatics with "Magna Cum Laude", at University of Wuerzburg (UW) in collaboration with the Technical University of Munich (TUM), Germany. I started my Postdoc at UW and later after couple of years, I continued that at the University of Massachusetts Medical School (UMASSMED). Additionally, I did some training, which includes Biomedical Research Investigator and Key Personnel Training offered by the University of Miami, Miller School of Medicine, USA; Principal Investigator, Compliance Training for Human Research from Health Care Compliance Strategies, USA; and training for the Healthcare Data Analytics from the Oregon Health & Science University, with course material organized by the John Hopkins University, USA.
During my early career research; I did Ph.D. Research, Thesis & Course Work in Artificial Intelligence and Product Data Management at the Vienna University of Technology, Austria; Pre-Doc research in Data Mining and Product Line Architectures at the Fraunhofer Institute for Experimental Software Engineering, Germany; Master in Computer Science with major in Intelligent Software Systems at the Blekinge Institute of Technology Sweden; Master in Computer Science with major in Software Engineering, and Bachelor in Computer Science at the University of Central Punjab, Pakistan.
So far, I have been actively involved in several US and European research projects; authored several publications as the main author in many well reputed Journals and International Conferences; and participated in writing of several research grants. I am providing volunteer services as the Referee for many high rated Journals (e.g. by Oxford Journals, ASC Publishers, Frontiers, PLOS, BioMed Central, Emerald, Willy, Faculty of 1000 etc.) and International Conferences (e.g. IEEE, ACM, AMIA, IOS Press, NEDB, Springer etc.). Furthermore, I have been honored with miscellaneous awards, which includes research funding, outstanding researcher award, young scientist award, early career award, travel grant award, subsidy award, best PhD student award, best conference paper award, potential conference paper award, honorary memberships, distinguished fellowships, won some programming contests and achieved some university distinctions.
I strongly believe in staying at ground, continuous learning, trying improving and performing at best.
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- Zeeshan Ahmed, C. Y Ngan. Match & Scratch Barcodes: Tools for the Demultiplexing and Extraction of Target Sequences from PacBio Amplicon Data. Nature Methods, Nature Publishing Group, 2017.