Hi! I’m Suf, a Senior Advisor in Data Science at a leading technology company where I’ve worked since 2023. My journey in the tech industry has been driven by a passion for pushing the boundaries of machine learning and its applications.
Professional Experience
In my current role, I’m leveraging my expertise in data science to drive innovation and solve complex problems in the technology sector. Before this, I spent over four years at Moogsoft, a leading AIOps company, where I held positions as a Senior Research Scientist and Research Scientist. My work there focused on Natural Language Processing applications for network state change classification, utilizing advanced techniques such as word embeddings, deep neural networks with LSTMs, and transfer learning.
Academic Background
My foundation in research was built during my time as a Postdoctoral Research Fellow in data science at the University of Sussex. For two years, I explored applications of experimental particle physics research to “big data” problems, including real-time detection of network intrusions and deception detection using static images and video data.
I hold a PhD in experimental particle physics from the University of Sussex, where I worked on the ATLAS Experiment at CERN’s Large Hadron Collider. My thesis, “Search for the electroweak production of supersymmetric particles in three-lepton events at the ATLAS detector with focus on compressed mass spectra,” reflects my deep engagement with cutting-edge physics research.
Before my doctoral studies, I earned a Master of Science (MSci) in physics from University College London (UCL).
Research and Interests
My passion lies in contributing to the frontier of Machine Learning research. Machine learning is integral to every aspect of society, offering fantastic opportunities for those in STEM research to tackle stimulating and practical challenges outside traditional academic research.
Visualization and Design
One of my greatest joys is designing visualizations and applications that help people understand difficult concepts. I love the challenge of transforming complex ideas into intuitive, visually appealing representations that enhance learning and comprehension.
Sharing Knowledge
I created a blog, The Research Scientist Pod, to serve as a resource for others who share similar passions or are curious about starting a career in data science. Through this platform, I share my experiences and insights gained on my journey from particle physicist to research scientist in the tech industry.
I aim to make the website interactive, fun, and resourceful for all visitors. By combining my expertise in data science with my love for visualization and design, I strive to create an engaging learning environment that caters to various learning styles and levels of expertise.
Connect With Me
I’m always eager to connect with fellow professionals, researchers, and enthusiasts in the fields of data science, machine learning, and technology. Feel free to reach out if you’d like to discuss potential collaborations, share ideas, or simply chat about the exciting developments in our field.
Follow The Research Scientist Pod to cut through the noise around Machine Learning and access the best tools and knowledge to fuel your curiosity and advance your career in data science. Join me in exploring the fascinating world of data through interactive visualizations and engaging content!
Suf is a senior advisor in data science with deep expertise in Natural Language Processing, Complex Networks, and Anomaly Detection. Formerly a postdoctoral research fellow, he applied advanced physics techniques to tackle real-world, data-heavy industry challenges. Before that, he was a particle physicist at the ATLAS Experiment of the Large Hadron Collider. Now, he’s focused on bringing more fun and curiosity to the world of science and research online.