Profile
Seth Zenz is an expert on Big Data analysis at the CERN Large Hadron Collider (LHC) who joined QMUL in 2018. He works on Higgs Boson measurements, the ATLAS Inner Tracker upgrade, new silicon detector technologies, and data science and data analysis teaching.
Seth leads on Degree Apprenticeships within the School of Physical and Chemical Sciences.
Teaching
I lead on the development of Data Science and Data Analytics apprenticeship programmes within the School of Physical and Chemical Sciences. In this capacity I have developed many modules, particularly for 2024 expansion of the Digital and Technology Solutions Professional programme. I currently teach on an employer-based module called The Data Landscape. My past teaching in this area includes:
- Introduction to Data Programming (developer, inaugural MO 2022-23)
- Introduction to Data Science (inaugural MO, taught 2021-23)
- Statistical Data Analysis (taught 2020-22)
I also developed the following modules that have been delivered with my support as Deputy Module Organiser:
- Data Analysis and Data Solutions (2023-5)
- Professional Software and Career Practices (2023-5)
- Fundamentals of Programming (2024-5)
Supervision
Below is a list of potential projects for PhD students. Other possibilities can also be discussed.
Public Engagement
Seth is the Outreach Coordinator for the Department of Physics and Astronomy and the lead academic contact for the ATLAS Open Data project within Physics Research in School Environments. He received a Spark Award from the STFC for developing his Higgs Boson Dominoes project. He has held both large and small internal grants from the Queen Mary Centre for Public Engagement (CPE), was on the Small Grants Panel in 2021-2, and was on the Large Grants Panel in 2022-3. He won the 2021 SEPNet Public Engagement Champion award for this work, and was interviewed about it in April 2021.
