UCL Centre for Data Intensive Science and Industry’s Post

If you’re looking to hire the equivalent of a suitcase-sized nuclear weapon 💼 ☢ in the world of data science, look no further than our MSc and PhD students—they’re the real deal! ⚡ These are the people redefining what’s possible, equipped with the skills and the mindset to tackle the toughest problems head-on. 🚀 With the HL-LHC upgrades demanding 10x in complexity, these students are already at the cutting edge, developing ML models in extremely challenging settings that are out-of-the-box competitors to the world's best. When it comes to innovation and impact, this is where it’s at. #NextGenTalent #DataScience #Innovation #DataIntensiveScience #PhD

View profile for Gabriel Facini, PhD, graphic

Assistant Professor, UCL <—-> Physics research @ CERN <---> Machine Learning <---> Multidisciplinary & Industry Projects

This is a business platform, so I’m not here to talk about research findings. Snooze alert! 😴 Instead, this post is for anyone who wants to know where to find the next leaders in industries driven by complex data insights. At CERN, home of the proton-smashing LHC, we handle data at rates of 60 million megabytes per second, processing and making decisions in micro- to milliseconds. In a few years, upgrades will 10x complexity, demanding a whole new level of R&D across our global community. And right here, in the midst of that intense activity, our brilliant team has made a breakthrough. The fantastic Sam Van Stroud led with vision; Philippa Duckett and Max Hart took it across the finish line through rigorous testing and iteration, building on foundational work by Nikita Pond, and the support of Sébastien Rettie. Together, they’ve developed an out-of-the-box contender for tackling one of the most combinatorially complex tasks in LHC experiments. https://lnkd.in/euMi8nDA More than staying ahead of the curve—it’s about shaping it. 🚀 Sam started with us as a PhD student and is now a postdoc, driving and enabling around one cutting-edge research result every 6 months! It’s unprecedented. And these aren’t just toy studies posted on arXiv—they are ML models that are already making an impact within the ATLAS Collaboration, actively shaping the research landscape. Guess where you’ll be seeing this one next! ...oh yeah, he also spends two days a week at the Climate Change Committee, scratching that itch to do something that impacts everyday life in the short term. It is more than Sam and the talented team, and it's not about me and Tim Scanlon being awesome group leaders 😜; it’s about the program we’re growing in the UCL Centre for Data Intensive Science and Industry, founded by the visionaries Nikos Konstantinidis and Ofer Lahav. Through our one-of-a-kind program, we draw top talent by pairing each fundamental science PhD student with two industry projects, equipping them with industry-ready skills by graduation - and we partially fund it by the resulting industry contributions. With nearly all scientific PhDs finding careers outside of academia, and the lack of highly-skilled data-intensive scientists to fuel the economy, this is the type of PhD program the world needs. Take note - your future leaders can be found the in the next graduating class. #DataScience #LHC #Innovation #ResearchExcellence #TeamWork #NextGenTalent #DataIntensiveScience #PhD #IndustryReady

Transformers for Charged Particle Track Reconstruction in High Energy Physics

Transformers for Charged Particle Track Reconstruction in High Energy Physics

arxiv.org

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