Welcome!
My name is Christopher Kessler. I am an avid Mac user and IT advisor, and enjoy wrangling, analyzing, and presenting data. I hope you enjoy what you see on this site. If you have any questions, please feel free to send me an e-mail: tkessler@mac.com. Thanks!
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Projects
Data Management Interests
Projects from any discipline will have results, supporting literature, and intermediate steps taken to develop conclusions. Having this data organized and stored so that it is readily accessible in a user-friendly environment is a strong interest of mine.
While each project will have its data in formats and organization that works for its authors, the inherent challenge is how to make this data both available and easy to search by anyone. In the past 5 or so years, a number of repositories like the DuraSpace and UC3 services, and FigShare have developed to tackle these issues. These are exciting projects, but they are relatively new and still evolving.
For now, I've focused my database interests on project management routines, and for the lab in which I worked, developed a full sample management database to track entire experimental projects.
Laboratory Skills
Having worked in a technical biological sciences lab for over 10 years, I developed numerous skills for managing equipment and resources for tackling scientific questions. These include the following:
  • Basics: wet-lab sample handling and assaying techniques (PCR, Western Blot, etc.), and aseptic and sterile technique.
  • Intermediate: cryopreservation, neuronal cell harvesting and culture
  • Advanced: suction electrode electrophysiology, in-vivo and in-vitro electroretinography (ERG), patch clamping, fetal ocular injection and electroporation, in-vitro immunofluorescence and staining, microdissection, custom recording chamber fabrication, isoflurane anesthetic setup and delivery, and laboratory layout and design.

Data Analysis
I enjoy the process of acquiring and analyzing data for a given question, and have outlined in the following picture scheme how I've done this in my laboratory work (click images for larger view):
  1. Raw data is collected using custom-made components, and technical instrumentation. Recordings are then done in special conditions, and raw data traces are the result:
     
  2. Processing and statistics are done using custom-coded scripts, and allow for wrangling and analysis of the raw data:
     
  3. Clear categorization in summary layouts makes understanding and tabulating the data easy, so significance can be determined:
     
  4. Publication or presentation is the final step:
IT Support and Advising
I am an avid Mac systems IT advisor, and on my spare time actively research and write thousands of how-to and troubleshooting articles on configuring, using, and troubleshoot Mac OS devices. These publications can be found at CNET, MacWorld, Tidbits, and my own personal troubleshooting blog, MacIssues.com:
I actively engage with readers to help diagnose and overcome problems with their systems.
In addition, I offer IT support at work environments, having set up Open Directory domains, administered networks, and configured countless workstations running flavors of both OS X and Windows. Basically, if its technical and I don't know about it, then I will thoroughly enjoy learning about it.
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