I am an Assistant Professor of Computer Science at Southern Oregon University in Ashland, Oregon. I collaborate with domain scientists investigating our world, using machine learning techniques. Current projects include GreenCrossingAI with environmental scientist Dr. Karen Mager, and the Astrophysics Data Lab at UCLA, with astrophysicist Dr. Tuan Do.


Selected Publications

model predicitons

Photometric Redshifts for Cosmology: Improving Accuracy and Uncertainty Estimates Using Bayesian Neural Networks

Evan Jones, Tuan Do, Bernie Boscoe, Jack Singal, Yujie Wan, Zooey Nguyen. The Astrophysical Journal, vol. 964, no. 2, IOP, 2024. doi:10.3847/1538-4357/ad2070. arXiv:2306.13179 [astro-ph.CO]

Navigating the Integration of Machine Learning into Domain Research

Bernie Boscoe, Tuan Do. US-RSE Conference, 2023. [Zenodo]

Elements of effective machine learning datasets in astronomy

Bernie Boscoe, Tuan Do, Evan Jones, Billy Li, Kevin Alfaro and Chris Ma. NeurIPS Machine Learning for the Physical Sciences Workshop, 2022. arXiv:2211.14401 [astro-ph.IM]

Recent Talks/Posters

  • Arrays from the sky: Astronomy and Data Science, Willamette University, Salem, Oregon, 2023
  • Scaling Up: Incorporating HPC into undergraduate CS education courses using Gateways, Gateways 2023, Pittsburgh, PA
  • To Have and Have Not: Addressing inequities for learners accessing computational science environments, International Conference on computational Science, London, UK, 2022
  • Three workflow add-ons to improve machine learning reproducibility in astronomy, Astronomical Data Analysis Software and Systems (ADASS), Capetown South Africa, 2021
  • From a Legacy System to an Open Source Library: What can we learn about sustaining software tools over decades? SIAM CSE21


If you are a student interested in my line of research, contact me.