From PhD to Industry: LLMs and Career Paths
Speaker: Amin Sadri
Date: 11 June, 2025
Time: 2:30 PM - 3:30 PM (AEDT)
Location: B080.02.002 at RMIT University & MS Teams
Abstract: This talk is divided into two parts. In the first, we’ll explore the latest advances in artificial intelligence, from large language models (LLMs) to cutting-edge applications across industries. We’ll also touch on the intriguing question of whether AI could ever approach a state of “infinite intelligence”, and what that might mean for both research and society. In the second part, I’ll share my personal journey transitioning from a PhD in machine learning to a role as Principal Data Scientist. We’ll discuss the key differences between academic and industry ML, real-world case studies, and offer actionable career advice for PhD students interested in moving to industry—covering skills to build, common pitfalls, and how to bridge the gap between research and practical impact.
Chuffing~ 👋 We are a group of researchers and students who are passionate about Information Retrieval, Recommender Systems, Natural Language Processing, Human-Computer Interaction, Large Language Models, and beyond.
Amin Sadri, Principal Data Scientist at ANZ, will discuss the latest in AI, including LLMs and their potential for “infinite intelligence”. He’ll also share his journey from a PhD in machine learning to industry, offering insights and advice for those looking to transition from academia to practical applications in data science.
Sebastiano Vigna presents a groundbreaking weighted generalization of Kendall’s $\tau$ that brilliantly handles tied ranks, powered by an $O(nlogn)$ algorithm and validated on massive social and web graphs.
Marwah Alaofi presents her paper on how Large Language Models can be fooled into labelling a document as relevant. The paper won the Best Paper Honorable Mention award at SIGIR-AP'24.