Zach Mullen

Distinguished Engineer

Data and Analytics

Kitware North Carolina
Carrboro, NC

10 Years Service at Kitware

B.S. in Computer Science
The University of North Carolina at Chapel Hill

Zach Mullen

Zach Mullen is a distinguished engineer on Kitware’s Data and Analytics (D&A) Team located in Carrboro, North Carolina. He is a designer and developer of scientific data-oriented web solutions, in addition to the Kitware-based platforms and tools that we use to efficiently deliver those solutions to customers. These solutions span a variety of domains and customers, from the defense space to highly specialized medical research workflow applications.

In addition to developing software, Zach is interested in developing, disseminating, and continually improving technical standards and best practices within the D&A team and beyond. He is also a major advocate for the importance of organizational culture and team dynamics.

Zach has led multiple projects for Kitware, including building cloud-native ETL pipelines, an algorithm-as-a-service web and mobile application using deep learning to evaluate pain levels in mice for medical research, and prototyping and training users on new modes of organizing, visualizing, and interfacing with data.

Zach currently manages five engineers and serves as a “parachuting” mentor to many other developers on the team, including interns. For nearly a decade, he has been responsible for technical interviews on both the medical team and the D&A team. He led an initiative to overhaul the end-to-end interview process to improve conversion and alignment of candidates. These and other strategic initiatives have helped grow Kitware’s fledgling Data and Analytics team from a small handful of people into a group of more than twenty.

Zach also served on Kitware’s Board of Directors. He was the first employee outside the senior management team invited to join the board.

Zach received his bachelor’s degree in computer science from The University of North Carolina at Chapel Hill in 2009.

Publications

  1. E. McCoy, S. Park, R. Patel, D. Ryan, Z. Mullen, J. Nesbitt, J. Lopez, B. Taylor-Blake, K. Vanden, J. Krantz, W. Hu, R. Garris, M. Snyder, L. Lima, S. Sotocinal, J. Austin, A. Kashlan, S. Shah, A. Trocinski, S. Pudipeddi, R. Major, H. Bazick, M. Klein, J. Mogil, G. Wu, and M. Zylka, "Development of PainFace software to simplify, standardize, and scale up mouse grimace analyses," PAIN, pp. 10.1097/j.pain.0000000000003187, May 2022. [URL]
  2. D. Gutman, M. Khalilia, S. Lee, M. Nalisnik, Z. Mullen, J. Beezley, D. Chittajallu, D. Manthey, and L. Cooper, "The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research," Cancer Research, vol. 77, no. 21, pp. e75-e78, Nov. 2017. [URL]
  3. D. Zukić, Z. Mullen, D. Byrd, P. Kinahan, and A. Enquobahrie, "A web-based platform for a high throughput calibration of PET scans," in Proceedings of the International Congress and Exhibition on Computer Assisted Radiology and Surgery, 2016. [URL]
  4. V. Revanna Shivaprabhu, A. Enquobahrie, Z. Mullen, and S. Aylward, "Accelerating ultrasound image analysis research through publically available database," in SPIE Medical Imaging, 2013. [URL]

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