[in-person] Abu Dhabi Machine Learning Meetup Season 5 Episode 4

Save the date! Next ADML Meetup: July, 3rd.

Abu Dhabi Machine Learning (ADML) is joining forces with ADIA Lab and ADGM Academy to bring you this event.

Register here: TBA

Bring your Emirates ID (for the in-person attendees) in order to be able to check-in.

Join us for the seminar and stay for refreshments and networking afterward!

Talk 1: Massive-Scale Interactive Graph Analytics for Data Scientists

Abstract:

Modern data science often requires analyzing massive, complex datasets in real time. In this talk, David A. Bader introduces Arachne, a new open-source framework for large-scale graph analytics built on top of Arkouda, a NumPy-like platform designed for interactive analysis on supercomputers. He will share algorithmic innovations, practical use cases, and how Arachne bridges productivity and performance for data scientists working with terabytes of graph-structured data.

Short Bio:
David A. Bader is a Distinguished Professor and founding director of the Institute for Data Science at NJIT. A pioneer in high-performance computing and massive-scale analytics, he has led major DARPA projects, advised the White House on national computing strategy, and built the first Linux supercomputer. Bader is a Fellow of IEEE, ACM, AAAS, and SIAM, with over 400 publications and multiple awards for innovation in data science.

Talk 2: FinChain: Verifiable Chain‑of‑Thought for Financial Reasoning

Abstract:

Current financial reasoning benchmarks often only evaluate final answers, neglecting the step‑by‑step logic behind them. In this talk, Zhuohan Xie introduces FinChain, the first symbolic and verifiable Chain‑of‑Thought benchmark designed for financial tasks. Covering 54 topics across 12 domains, with executable Python traces and the new ChainEval metric, FinChain rigorously assesses both intermediate steps and outcomes. A comprehensive evaluation of 30 LLMs shows that even the latest models struggle with complex multi‑step logic—highlighting clear opportunities for innovation.

Short Bio:
Zhuohan Xie is a researcher at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence) focused on interpretable financial AI. He leads the development of FinChain, a benchmark for verifiable Chain‑of‑Thought in finance. His work spans hybrid evaluation methods, domain‑aware reasoning, and transparent LLM assessments, with contributions to widely used benchmarks and open-source tools supporting rigorous, traceable AI in financial applications.

Talk 3: TBD

Abstract:

TBD

Short Bio:
TBD