CV

Education

B.S. in Information Technology, Brigham Young University, 2015
M.S. in Computer Science, Georgia Institute of Technology, 2019
Ph.D. in Artificial Life, The University of Tokyo, 2026 (degree conferred May 2026)
- Dissertation: Collective Nonlinear Dynamics in Heterogeneous Swarms: A Reservoir Computing Perspective
- Supervisor: Takashi Ikegami

Work experience

Summer 2009: Transducer Lab Intern
- Kennedy Space Center
- Duties included: Test and evaluate sensor prototypes to revamp NASA fuel lines and launch pads in preparation for the Constellation program. Contact equipment providers about project requirements.
2012-2014: Software Developer
- GunAuction.com
- Duties included: Third-party API development, distributor shopping cart design and development, site and database management, load balancing and caching solution design and implementation
2014-2015: Research Assistant
- Infrastructure Lab, School of Technology, Brigham Young University
- Duties included: Build and study a log analysis cluster, implementing logstash, elasticsearch, and kibana. Architect a long-term solution for the BYU Office of Information Technology, which is still in use today. Aggregate and analyze device logs to improve network and security monitoring.
- Supervisor: J. J. Ekstrom
2014-2015: System Administrator
- Dept. of Computer Science, Brigham Young University
- Duties included: Maintain Linux and Windows labs including approx. 250 workstations and servers. Maintain IT infrastructure for the department of Computer Science, including core services. Aggregate and analyze device logs via ELK to improve network and security monitoring.
2015 - 2019: Service Engineer
- Microsoft Corporation
- Duties included: Problem Management and Resiliency Engineering improvements across Azure and the broader Cloud + AI organization.
  - Tooling improvements
  - Postmortem process revisions and advocacy
  - Post-incident debriefing facilitation
  - Strategy
  - Studies & Research
  - Outage pattern analysis
  - Incident command
  - Data engineering
  - Oncall tooling
2019 - 2022: Senior Software Engineer, Infrastructure
- Adobe Inc.
- Duties included: Data Engineering, Automation, and DevOps
  - Design, build, and own a key Disaster Recovery data engineering system
  - Build automated backup configuration systems
  - Operations for file, object, and block storage systems
  - Incident retrospective facilitation and training
  - Research on complex socio-technical systems and infrastructure reliability/adaptability
2022 - Present: Staff Incident Analyst
- Indeed Technologies Japan

Skills

Incident analysis
- Cognitive interviewing
- Meeting facilitation
Programming
- Python
- C#
Machine learning
- Reinforcement learning
- LLaMa (LoRA)
- Neural Cellular Automata
Technical writing

Publications

Collective Nonlinear Dynamics in Heterogeneous Swarms: A Reservoir Computing Perspective

Lund, T. (2026). Collective Nonlinear Dynamics in Heterogeneous Swarms: A Reservoir Computing Perspective. Ph.D. dissertation, The University of Tokyo.

State transitions unlock temporal memory in swarm-based reservoir computing

Lund, T., Adams, A., Aubert-Kato, N., & Ikegami, T. (2026). State transitions unlock temporal memory in swarm-based reservoir computing. PeerJ Computer Science, 12:e3763. https://doi.org/10.7717/peerj-cs.3763

aRtificiaL death: learning from stories of failure

Marcin Korecki, Cesare Carissimo, Tanner Lund; July 24–28, 2023. "aRtificiaL death: learning from stories of failure." Proceedings of the ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. Online. (pp. 41). ASME. https://doi.org/10.1162/isal_a_00633

Automata Quest: NCAs as a Video Game Life Mechanic

Sato, H., & Lund, T., & Yoshida, T. (2023, August) Automata Quest: NCAs as a Video Game Life Mechanic. Presented at Alife for and from video games workshop at ALIFE2023. MIT Press.

Practical data mining and analysis for system administration

Lund, T., & Panike, H., & Moses, S., & Rowe, D. C., & Ekstrom, J. J. (2015, June), Practical Data Mining and Analysis for System Administration Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.24570