Profile photo
Alex Spaeth

Also available as a PDF.

Education

Ph.D. in Computer Engineering
University of California, Santa Cruz (February 2025)
Computational Modeling of Neuromorphic and Neuronal Systems

B.S. in Electrical Engineering and Computer Science
University of California, Berkeley (May 2017)

Employment

Machine Learning Consultant
Hargrave & Associates
October 2021–present

ML Research Engineer (Graduate Student Researcher)
U.C. Santa Cruz Genomics Institute
September 2017–March 2025

Publications

  1. Hargrave, Spaeth, et al. (2024) “EpiCare: a reinforcement learning benchmark for dynamic treatment regimes” at NeurIPS.
  2. Robbins et al. (2024) “Goal-directed learning in cortical organoids” (preprint)
  3. Spaeth et al. (2024) “Model-agnostic neural mean field with a data-driven transfer function” in Neuromorphic Computing and Engineering.
  4. Andrews et al. (2024) “Optogenetic modulation of epileptiform activity in human brain tissue” in Nature Neuroscience.
  5. Elliott et al. (2024) “Pathological microcircuits initiate epileptiform events in patient hippocampal slices” (preprint).
  6. Geng et al. (2024) “Multiscale cloud-based pipeline for neuronal electrophysiology analysis and visualization” (preprint).
  7. van der Molen, Spaeth, et al. (2023) “Protosequences in human cortical organoids model intrinsic states in the developing cortex” in review at Nature Neuroscience (preprint).
  8. Zare, Spaeth, et al. (2023) “Three-dimensionally printed self-lock origami: design, fabrication, and simulation to improve the performance of a rotational joint” in Micromachines.
  9. Zare, Spaeth, et al. (2023) “Modular self-lock origami” in Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics.
  10. Tebyani, Spaeth, et al. (2022) “A geometric kinematic model for flexible voxel-based robots” in Soft Robotics.
  11. Spaeth et al. (2020) “Spiking neural state machine for gait frequency entrainment in a flexible modular robot” in PLOS One.
  12. Spaeth & Hargrave (2020) “A polyaddition model for the prebiotic polymerization of RNA and RNA-like polymers” in Life.
  13. Spaeth et al. (2020) “Neuromorphic closed-loop control of a flexible modular robot by a simulated spiking central pattern generator” in Proceedings of the 3rd IEEE International Conference on Soft Robotics.

Skills

Programming Python, SQL, C++, Typescript, HTML/CSS, Git, CI/CD
Technologies Linux, PyTorch, CUDA, AWS, Kubernetes, Docker, Next.js
Data Science Deep learning, signal processing statistical testing, clustering, data visualization
Other Teaching, technical writing, scientific computing, physics modeling, control systems