biologit
Jack Sullivan is a highly experienced Staff Engineer in AI & Platform at biologit since February 2022, having previously served as a Senior AI & Platform Engineer in the same company. Prior to biologit, Jack held the position of AI Software Engineer at IBM from June 2021 to February 2022 and worked as a Machine Learning Engineer at Optum from September 2017 to June 2021, contributing significantly to key projects such as the development of an Automatic Speech Recognition engine for nurse voicemails. Jack's early career included various roles in hospitality while pursuing a B.Sc in Computer Science and Software Engineering from Maynooth University, graduating in 2017.
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biologit
Biologit delivers advanced active safety surveillance solutions for the life sciences sector, addressing human and veterinary pharmacovigilance, cosmetovigilance, nutravigilance, and materiovigilance. Biologit MLM-AI is a state-of-the-art platform for monitoring scientific literature to identify adverse events and emerging risks throughout a product's lifecycle, from clinical development to post-marketing. Designed for teams of all sizes, it combines a flexible workflow with a unified global and local scientific database, enhanced by unique AI-driven screening and productivity tools. These features enable fast, accurate, and fully traceable results for all safety surveillance needs. Biologit Database is a robust, continuously updated repository of scientific literature, optimised for compliant regulatory searches. It integrates global and regional sources into an intuitive interface, delivering high-quality results for monitoring adverse events and potential risks. With over 65 million entries and 40,000 new articles added daily from 120,000 journals across 170+ countries, it ensures comprehensive coverage aligned with FDA, EMA GVP and global standards. Biologit provides a full suite of pharmacovigilance services, including Qualified Person for Pharmacovigilance (QPPV) and Responsible Person for Pharmacovigilance (RPPV) support in clinical trials.