Daniel Pasin
Daniel received his PhD in forensic toxicology from the University of Technology Sydney (UTS) in 2018. His research focused on the non-targeted detection of new psychoactive substances (NPS) using high-resolution mass spectrometry (HRMS) and was in collaboration with the New South Wales Forensic and Analytical Science Services (NSW FASS) and the Australian Racing Forensic Laboratory (ARFL). In 2020, Daniel was employed as a postdoctoral researcher in the Section of Forensic Medicine at the University of Copenhagen. During this time, Daniel became involved with, HighResNPS, a crowd-sourced mass spectral database for NPS. He coordinated and implemented improvements to the database using machine and deep learning techniques including retention time, MS/MS spectra and structural (using chemical language models) predictions.
Discovering a passion for Python programming, Daniel went on to lead the development of the laboratory information management system (LIMS) at the San Francisco Office of the Chief Medical Examiner and has since started Hyperion Data, a boutique software development consultancy with the mission of improving laboratory workflows and returning data autonomy back to laboratory through bespoke software. Daniel is a big proponent of fostering computer science skills in laboratory staff to enhance their data analysis capabilities.
Abstracts this author is presenting: