Sean Hansen-Romu Colloquium

Fri. Mar. 21 12:30 PM - Fri. Mar. 21 01:20 PM
Contact: Andrea Wiebe
Location: 3M69 & via Zoom

Physics to LLM: Algorithmic Insights

We live in an era where data is the cornerstone of innovation, shaping industries and driving advancements across all sectors. Data Science has become one of the most transformative fields, potentially revolutionizing how we understand and interact with the world. From improving decision-making to automating complex processes, Data Science is at the heart of emerging technologies like Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), which are redefining the boundaries of what's possible in machine learning and artificial intelligence.

In this talk, I share my personal journey from a Physics PhD postdoc to a data science role in the banking sector. My transition highlights the growing intersection between scientific expertise and data-driven technologies. I will discuss how the analytical and problem-solving skills cultivated through my academic research paved the way for a fulfilling career in Data Science.

If you've ever wondered whether your background in physics can take you beyond academia, this talk will offer insights into how your deep knowledge of problem-solving, data analysis, and computational techniques can seamlessly translate into a successful career in Data Science. Join me as we explore how the skills gained in physics can unlock new opportunities in this dynamic and rapidly evolving field.

BIO: Sean Hansen-Romu is Metis; Graduated from University of Winnipeg with a Bachelor of Science in Physics; Graduated from University of Manitoba with a PhD in Physics and Astronomy, supervised by Dr. Blair Jamieson; Completed a 1-year postdoctoral at U of Manitoba working with Dr. Juliette Mammei; Now working as a Data Scientist for Scotiabank

For a Zoom invitation to this event, please email: an.wiebe@uwinnipeg.ca