I am an AI Engineer currently working at the London Stock Exchange Group (LSEG), where I focus on developing AI-powered platforms and tools that enhance operational efficiency and collaboration within enterprise environments. Previously, I collaborated on a research initiative at CERN, Geneva, where I developed machine learning models for physics data analysis, significantly enhancing Higgs boson events selection.
Currently, I am involved in computational cognitive neuroscience research, specifically through the Pavlovian Associative Learning Models Simulators (PALMS) research project. PALMS focuses on providing scientists with a unique framework to test different associative learning models. The program leverages Python to offer an easy to use and features-rich experience to users. Moreover, I am also researching how different attention mechanisms can interact together in a unified associative learning model.
Julian Jimenez Nimmo is a postgraduate researcher at CitAI, City St Georges, University of London and holds a BSc in Computer Science and Artificial Intelligence from the University of Bath. He specialises in biologically-inspired neural networks. He has recently completed an MSc in Artificial Intelligence with Distinction, ranking first in the class.
Julian has authored with Esther Mondragón a paper on "Advancing the Biological Plausibility and Efficacy of Hebbian Convolutional Neural Networks" (currently under review), which achieved 76% accuracy on CIFAR-10 using unsupervised Hebbian learning, surpassing previous Hard Winer-Takes-All models by 11.4%.
In addition, Julian is currently developing a Pavlovian Associative Learning Models Simulator (PALMS), a computational framework for implementing and comparing attentional associative learning models to facilitate cross-disciplinary research.
I am a computer scientist and a postgraduate researcher at CitAI after graduating with an MSc in Artificial Intelligence from City St. Georges, University of London and a Licenciatura in Computer Science from the University of Buenos Aires
I am currently pursuing two separate research focuses. My first focus is on modelling Pavlovian learning. To this end, we have developed the Pavlovian Associative Learning Models Simulator (PALMS), which allows for easy experimentation simulation with a variety of attentional associative learning models, including a variation of Rescorla-Wagner’s, and ultimately improving the understanding of cognitive systems. My second research focus is on knowledge grounding in large language models, where I am experimenting with understanding _why_ LLMs choose an answer over another. This is the extension of my MSc thesis at City St. Georges, and it's a useful step in preventing hallucinations and creating LLM-aligned systems that are more robust in practice.
Previously, I researched social network analysis, and I submitted my Licenciatura thesis to the Advance of Social Networks and Data Mining (ASONAM), and I worked for many years building systems to detect fake and abusive accounts in Meta (formerly Facebook) and Monzo.
I am a researcher at the Artificial Intelligence Research Centre at City St George’s, University of London. I work under the supervision of Esther Mondragón with other members collectively known as Group Alpha on associative learning (AL) models. I am particularly drawn to the relationship and similarities between AL and the fundamental concept of neural networks in the pursuit of integrating higher dimensional and more complex artificial intelligence (AI) architectures.
My current research revolves around developing a simulator called the Pavlovian Associative Learning Model Simulator (PALMS) to incorporate attentional AL models into a single software to ease mathematical calculations for researchers and enable them to focus more on the core theoretical AL models or develop a new model altogether. I am also keen on developing human-inspired AI and integrating sensory capabilities for AI, such as the ability to see, hear, and touch, all with the aim of achieving this through robotics and computer vision applications.
I hold an MSc in Artificial Intelligence from City St George’s, University of London and a BSc (Hons) in Robotics and Mechatronics engineering from Monash University Malaysia. I also have industrial experience in computer vision projects in object detection in real-time for accident prevention systems on a construction site.
