Daniel Pasin, PhD
Daniel graduated with his PhD from the Centre for Forensic Science at the University of Technology Sydney in 2018. His research focused on the detection of new psychoactive substances (NPS) using high-resolution mass spectrometry (HRMS). During his PhD he started to explore computer programming developing a small Visual Basic for Applications (VBA) macro to process excel data.
Discovering his passion for programming, Daniel has been a full-time Python programmer since 2020. He has developed machine learning models and full-stack database applications including the Laboratory Information Management System (LIMS) at the San Francisco Office of the Chief Medical Examiner and redeveloping HighResNPS, a crowd-sourced mass spectral database for NPS.
He has both academic research and operational laboratory experience and is actively engaged in the forensic toxicology and forensic science communities. He is a member of the:
- Forensic and Clinical Toxicology Association, Inc. (FACTA)
- The International Association of Forensic Toxicologists (TIAFT)
- The Australian and New Zealand Forensic Science Society (ANZFSS)
- The Royal Australian Chemical Institute (RACI)
- Python Software Foundation (PSF)
He is also a member of the NPS Committee for both FACTA and TIAFT.
Daniel strongly advocates for the development of basic programming and data science skills in scientists so they can extract deeper insights from their work. He has seen first-hand the direct positive response by laboratories who have these skills. He is also a strong proponent of data autonomy: bringing control back to the people who generate it.
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