Big Data Hadoop, HDFS, Spark, ML Flow initiative at Ghent University

Ghent, Belgium
Joined May 2015
See our visual report of the 2026 Edition of the “Current DS4B students meet alumni” Event: #PredictiveAnalytics #Orms #Analytics #Python #AI #GenAI #opensource eur03.safelinks.protection.o…
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An informative and fun way to start the day with The Data Whisperer (Scott Taylor) Keynote at the @INFORMS @2026_Analytics Conference in Washington, D.C. Data Storytelling is at the core of what we do. #ORMS #DS4B #DataScienceforBusiness #AI #GenAI #Storytelling
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This morning’s plenary at the @INFORMS Analytics+ Conference in Washington, D.C. It’s a great event where business meets academia. So, networking and knowledge sharing is at the core of the event. #orms #analytics #AI #LLM #data #dataanalytics
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Great talk by Dr. Matthew Lanham (@MatthewALanham, matthewalanham.github.io) on the Data4Good project at the @INFORMS MAPD Event: datacamp.com/event/data4good…
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The #REMASC and #AGEAS #FlandersMake projects have a strong presence at the 2026 Flanders Make Scientific Conference in Sint-Katelijne-Waver at Campus De Nayer. It’s a great event for scientific networking. #FlandersMake #ORMS #CVAMO #Forecasting @UGentFEB
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BigData_UGent retweeted
Today, we are at the 2026 Flanders Make Scientific Conference in Sint-Katelijne-Waver at Campus de Naeyer. CVAMO has several posters at the event. It’s a great event for scientific networking. #FlandersMake #ORMS #MANPROCAD #REMASC #CVAMO @UGentFEB
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Great keynote talk by Dr. Chelsea Finn (Stanford) at the L-A-W Workshop at #NeurIPS2025 #Robotics vision-language-action models (VLA)
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Great keynote talk by Dr. Sherry Yang (NYU & Google DeepMind) bridging language, agents, world models at the L-A-W Workshop at NeurIPS 2025 in San Diego, CA #NeurIPS2025 #Robotics #ReinforcementLearning #RL
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After a very interesting #NeurIPS2025 conference, it’s now time for the workshops. I’m attending the Generative AI in Finance workshop. #NeurIPS #Finance #Trading #PortfolioOptimization #ORMS
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Inspiring keynote talk by Dr. Kyunghyun Cho (NYU) on what we do in computer science at the NeurIPS 2025 conference in San Diego, CA: Problem Solving is key. #NeurIPS2025 #DataScience #NeurIPS
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We have lift-off at the 2025 #NeurIPS Conference in San Diego, CA. I’m kicking it off with Shopify’s Generative Recommenders Session neurips.cc #NeurIPS25 #NeurIPS2025
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In Today’s Session of my #BigDataAnalytics Class Dylan talks about the latest developments in the transformer architecture (#LLMs, large-language models, #NLP). He discusses how to implement them in #Python notebooks. #DataEngineering #DataScience #DataAnalytics #OpenSource #orms
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Even in the era of NVIDIA‘s Grace Blackwell distributed computing is still a big thing. Some speedups are even superlinear. Talk by Mark Ostroot (principal solutions engineer at Simplerose) at the 2025 INFORMS Annual Meeting in Atlanta, GA. #INFORMS2025
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We have lift-off at the 2025 INFORMS Annual Meeting in Atlanta, GA @INFORMS2025 @INFORMS #ORMS #AI #Analytics #LLMs
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On my way to the 2025 INFORMS Annual Meeting in Atlanta, GA to present our innovative LLM research on uncovering service quality of airports using ModernBERT and LLaMa 3.3 70B. I’ll apply our new methodology to the ATL Airport. @INFORMS @INFORMS2025 #INFORMS2025 #ORMS #GenAI #LLM
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Great talk by Sumit Gulwani (@SumitGulwani, Microsoft) on improving AI reasoning by using intent, interaction, inspection, and memory (see last picture) at #KDD2025 in Toronto, Canada. #AI #LLM #CodeGeneration
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Great talk by Dan Roth on the limitations of using LLMs for reasoning at the #KDD2025 Conference in Toronto. Being linguistically coherent is much easier than we thought (that’s what LLMs have taught us). Use LLMs to generate (Python) code to solve hard problems. #AI #LLMs #ORMS
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Today, I started with the Test of Time Award talk at the #KDD2025 Conference in Toronto. Superb talk by Hao Wang on Deep Recommender Systems (RECSYS). He gave a great overview of how the field evolved over time, and the next steps. #AI #RecSys
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Great tutorial on efficient and effective search-agent training at #KDD2025 in Toronto. One does not need a lot of data to train a search agent via RL (using S3 compared to R1). #LLM #RAG #RL #R1 #S3
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