DI Dr.techn. Sebastian Templ BSc

Contact

Profile

Data scientist, software developer, and particle physicist passionate about extracting insight from complex data and building robust, production-ready solutions.

Experience includes: petabyte-scale statistical analysis at CERN, developing novel analysis methods and frameworks, and delivering AI-driven products in the financial sector.

I thrive at the intersection of science and technology, blending deep analytical skills with a pragmatic, team-oriented approach to problem solving.

Track record of leading high-impact projects—from rapid prototyping to production deployment.

Excellent communicator of technical concepts to diverse audiences.

Whether designing new algorithms, optimizing workflows, or collaborating with stakeholders, I am committed to delivering value through clear thinking, rigorous methodology, and a drive for continuous improvement.

Experience

Education

Achievements

Responsibilities · Memberships

• Team Leader of the CMS Level-1 Trigger Menu Group (CERN, Sep 2019 – Mar 2021)
  • Management of an international team of about 10 people in preparation of the CERN–LHC Run-3 data-taking period.
• Research collaboration memberships:
  • CMS collaboration (May 2018 – Dec 2021): 4000+ members from 40+ countries
  • ALICE collaboration (Jan 2017 – Mar 2018): 1900+ members from 40 countries
  • CERN external scientist (Jan 2017 – Dec 2021): 17500+ members from 70+ countries
  • CBM-STS collaboration (Jul 2016 – Jan 2017): 450+ members from 12 countries
  • CRESST collaboration (Oct 2015 – Jul 2016)
  • ASACUSA collaboration (Jul 2014 – Oct 2014)

Skills

For a more complete list of skills, see the dedicated Skills page.

• Software engineering:
  • Python; C++/C; pip-tools, uv; Git; Bash; Linux; VS Code, PyCharm, Cursor
  • Type annotations; mypy, pylint; pytest, doctests, integration & e2e tests
  • Design patterns; performance profiling; semantic versioning; documentation
  • Rapid exploratory workflows: “vibe coding” & “raw‑brain coding”, followed by production hardening
• Data science & analytics:
  • pandas, numpy; SQL; Parquet/Arrow; exploratory analysis & experiment design
  • Model evaluation & calibration; statistics; optimization; Monte‑Carlo methods
  • Visualization: matplotlib, seaborn, plotly
• Machine learning & deep learning:
  • scikit‑learn; tree‑based methods; neural networks; GNNs
  • PyTorch, Keras; LLMs with LoRA fine‑tuning & quantization
  • MCP server setups for LLM applications
• MLOps & production:
  • CI/CD best practices; containerization with Podman & Docker
  • Model monitoring & drift detection with Prometheus & Grafana; security scans
  • OpenTelemetry; AWS (EC2 for training & prototyping)
• Collaborative skills:
  • Proactive, accountable, transparent communication; team‑centric mindset; stakeholder alignment
  • Takes responsibility end‑to‑end; improves processes while adhering to standards
  • Public speaking for technical and non‑technical audiences; clear, audience‑aware narratives
• Languages:
  • German (native)
  • English (fluent)

Selected Publications

• CMS Collaboration. "Search for long-lived particles decaying to a pair of muons in proton-proton collisions at √s = 13 TeV." Journal of High Energy Physics, 2023(5):228, 30 May 2023. Springer  |  CDS  |  Summary
• S. Templ. "Search for displaced dimuons in proton-proton collisions at √s = 13 TeV with the CMS muon system." Ph.D. thesis, Technische Universität Wien, 2023(5):228, 30 Sep 2021. CDS  |  TUW  |  Summary
• S. Templ. "A Multivariate Approach to Dilepton Analyses in the Upgraded ALICE Detector at CERN-LHC." Master thesis, Technische Universität Wien, 28 Mar 2018. CDS  |  TUW  |  Summary
• S. Templ. "Signal Reconstruction and Crosstalk Analysis for a CBM-STS Silicon Microstrip Sensor Prototype." Project thesis, GSI Helmholtz Centre for Heavy-Ion Research, 26 Jan 2017. Summary
• S. Templ. "Calculation of the Light Yield for a CRESST-II Module by Application of Birks’ Law." Project thesis, Institute of High Energy Physics (HEPHY), 18 Feb 2016. Summary
• S. Templ. "Simulation of the Position Resolution of a Scintillation Detector." Bachelor thesis, Technische Universität Wien, 8 Oct 2014. Summary

Additionally, I have co-authored numerous works as part of the CMS collaboration, which can be found here.

Selected Talks

• Looking beyond the beam spot: Searches for long-lived particles
  Vienna Theory Lunch Seminar, University of Vienna, Austria
  December 2019
• Search for displaced dimuons and dimuon pairs at 13 TeV
  CMS Exotica Workshop 2019, RWTH Aachen, Germany
  October 2019
• Search for Long-Lived Particles Beyond the Standard Model with CMS
  DKPI Colloquium, TU Wien, Austria
  April 2019
• Prescale tools for L1T: Level-1 Trigger Operations + DPG
  LS2 Kick-Off Workshop, CERN, Switzerland
  February 2019
• Machine Learning for the ALICE ITS Upgrade
  LMee Workshop, Frankfurt Institute for Advanced Studies (FIAS), Frankfurt, Germany
  July 2017
• Signal Reconstruction for a CBM-STS Silicon Microstrip Sensor Prototype Using the Alibava System
  STS collaboration meeting, GSI Helmholtz Centre for Heavy Ion Research, Darmstadt, Germany
  September 2016

Selected Posters

Attended conferences, workshops, schools

Outreach