About Dr. Timothy Kevin K. Kamanu

The goal of DASCLAB are motivated by my interest, experience and passion in critical inquiry, understanding and modeling of general systems toward problem-solving. In particular, we seek to: Encourage and effect multi-disciplinary approach to problem solving through collaborative research Solve old problems and new problems in a new way through computation, simulation and visualizations Integrate and analyse high-throughput data with respect to time through: Dashboards: historical evaluation of cause and effects i.e., what happened and why Real-time analytics and data mining: (near-)real-time analytics of cause and effects i.e., what/why/when is it happening? Predictive/prescriptive analytics: futuristic evaluation of which event is going to happen (what/why/where/when) and simulations on why we should care? Effective communication and transfer of knowledge through practical tasks, projects and real-data wrangling, munging and analysis. Innovate and undertake cutting-edge research toward discoveries in microRNA and their influence to cancer research and other less-understood diseases such as autism and Alzheimer's

I have broad experience in computation, experimental design and data analysis of large-scale structured and unstructured (text, audio and audio-visual image/video streams) as well as high-throughput, specialty-related, genomic and/or proteomic studies involving say microarray (ChIP-chip, ChIP-seq, comparative genomic hybridization - CGH, protein) and mass spectra data. I am well versed with programming in C, R, MATLAB, Python, Perl and other open-source software for exploratory analysis, visualization and reporting.

I enjoy working in computational sciences and data analysis because its unifies my quantitative abilities, education, training and past experiences in statistics, mathematics, accounting and in general problem-solving.