About us
Founded by Mark Turner, Brian Searle, and Ashley McCormack, Proteome Software is a scientist-operated small business located in Portland, Oregon, USA. We provide the MS/MS analytics community with an intuitive group of proteomics, metabolomics, and small molecule mass spectrometry tools. Our team of developers, scientists, and technical operations specialists work together to bring you the most intuitive, highest-quality products possible. From diligent programming and internal problem-solving to specific, clear customer support and product documentation, our dedicated team works every day to create a satisfying user experience.
Brian Searle, PhD, Co-founder/Owner
Brian Searle is the co-founder and chairman of the board of Proteome Software. Following an undergraduate degree in chemistry from Reed College, Brian was mentored in MS/MS-based proteomics by Ashley McCormack and software development by Mark Turner in Srinivasa Nagalla’s lab at Oregon Health and Science University. In 2004 Brian co-founded Proteome Software with Mark and Ashley to produce and distribute cutting-edge data analysis software for proteomicists.
As the owner of Proteome Software, Brian has produced numerous innovations in the analysis of MS/MS-based proteomics data. Brian is a member of the American Society for Mass Spectrometry (ASMS) and has served on the board of directors for that organization. Brian also co-founded the Proteome Informatics Research Group of the Association of Biomolecular Resource Facilities (ABRF) society and is active in ABRF committees.
Kathy Bryant, President
Kathy joined Proteome Software in 2004 with founders Mark Turner and Brian Searle. In late 2015, she assumed the expanded role to focus on the company’s business functions. When not applying her Kansas MBA to spreadsheets and job descriptions, Kathy leans on her Poli Sci and Anthropology degrees to interpret the American Political Circus.
One might also find her obsessing over Jayhawk basketball, running neighborhood trails, or doggedly searching for authentic New Mexican cuisine in the Pacific Northwest. Kathy’s high tech creds? She learned FORTRAN programming on Michigan State’s mainframe and once worked for a member of the task force that gave birth in 1981 to IBM’s first personal computer.
Caleb Emmons, PhD, Staff Scientist, Development
Caleb is a math guy who only recently learned to love the proteome. He earned his PhD in Mathematics from UC San Diego in 2006 and worked as an Assistant Professor for five years at Pacific University. As a faculty member, Caleb taught the entire gamut of courses including Statistics and Advanced Probability.
He divides his time between coding, algorithm development, writing math poetry, crafting crossword puzzles, reading with his children, and watching shows with his wife–not to mention his heavy duties as the Editor-in-Chief of the Journal of Universal Rejection.
Nick Vincent-Maloney, Sales and Support Manager
Nick has been working in the field of proteomics since 2002, when he started at a biotechnology firm studying small molecule drug candidates with LC-MS/MS. From there, he went on to work in research and development for a diagnostics device company. After a move from California to Oregon in 2008, he began working in the software industry at Proteome Software. With degrees in biochemistry and computer information systems, Nick spends his days helping researchers exploit powerful software applications and harnessing mega computing platforms.
He enjoys spending time with his family, building Python web applications, watching cool TV shows, camping, climbing, reading, building things, and growing tomato plants over 8 feet high. Nick was once a professional musician, and if you look really closely, you might find an obscure reference or two from his drumming days.
Core Facilities
Managing a core facility or shared resource department? Need help with gaps in your software pipeline? Want to try new methods like DIA proteomics? Do you need an easy way to share results with your customers?
Researchers
Need an elegant yet easy to use solution for data processing? Not sure where to begin when starting up a new lab. Let us help take the pressure off setting up a software pipeline so you can focus on the science.