Jason Schmidberger bio photo

Jason Schmidberger

Experienced research scientist turned data scientist specializing in probabilistic modeling, anomaly detection, and reproducible Python pipelines for industrial sensing.

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Resume

Summary

Scientist → data scientist with 20+ years across Australia, Scotland, Sweden, and England. I design uncertainty-aware, probabilistic models and ML pipelines for real-world sensing—most recently methane emissions monitoring—turning noisy data into decision-ready insight. Strong stakeholder engagement, clear communication, and delivery focus.

Current Role

Senior Scientist / Data Scientist — MIRICO (UK) — 2022–Present

  • Lead probabilistic methane emissions analytics using Gaussian plume + Bayesian RJ-MCMC (pyELQ).
  • Build end-to-end Python workflows: spatio-temporal background models, anomaly detection, detection windows, and uncertainty quantification (entropy, overlap metrics).
  • Integrate with open-path laser sensor arrays (multi-retro networks); align modeling with OGMP 2.0 reporting needs.
  • Deliver interactive Plotly dashboards and reproducible cloud/HPC pipelines (Linux, Git, Azure/AWS).
  • Collaborate with operators and internal stakeholders; mentor a small data science team; drive Agile practices and code reviews.

Experience

Senior Scientist — Evotec Ltd (UK) — 2020–2021

  • Scientific consulting for clients; stakeholder engagement and project management across highly integrated projects.
  • Developed software and analysis pipelines; coordinated deliverables across multidisciplinary teams.

Research Scientist — University of Western Australia — 2016–2019

  • Project planning/management; managed equipment/facilities and a Linux cloud server.
  • Supervised >10 researchers; led collaborations; delivered undergraduate lectures.

Research Scientist — University of Sydney — 2015–2016

  • Took a key project from start to publication in <1 year.
  • Learned electron microscopy rapidly; modeled protein complexes using HPC and integrated software.

Research Scientist — University of Manchester (UK) — 2013–2015

  • Close collaboration with GSK; frequent stakeholder updates.
  • Published a book chapter on biocatalysis; developed a novel biocatalyst for industrial use.

Research Scientist — Karolinska Institute (Sweden) — 2010–2013

  • Multidisciplinary EU AEROPATH project with high-throughput data and rapid decision cycles.
  • Discovered a putative lead compound for a novel antibiotic target.

Visiting Academic — University of St Andrews (UK) — 2009–2010

  • Solved structure of a first-in-class biocatalyst; published two articles within a year.
  • Supervised a team of 8 researchers.

Bioinformatician — Monash University — 2008–2009

  • Built GRID computing for highly parallel algorithms; created software pipelines for streamlined analysis.

Education

PhD, Structural Biology — The University of Western Australia — 2002–2007
BSc (Hons), Environmental Science — Murdoch University — 1993–1997

Publications

See Google Scholar.

Book Chapter

Schmidberger, J. W., Hepworth, L. J., Green, A. P., & Flitsch, S. L. (2014). Enzymatic Synthesis of Amides. In K. Faber, W.-D. Fessner, & N. J. Turner (Eds.), Science of Synthesis: Biocatalysts in Organic Synthesis (Vol. 1, pp. 329–372). Stuttgart.