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Published Date

Publication

Sanity Checks for Agentic Data Science

Zachary T. Rewolinski, Austin Zane, Haoyang Huang, Chandan Singh, Chenglong Wang, Jianfeng Gao, Bin Yu

April 2026

arXiv | April 2026

Podcast

Ideas: Steering AI toward the work future we want

April 9, 2026

Microsoft Chief Scientist Jaime Teevan and researchers Jenna Butler, Jake Hofman, and Rebecca Janssen unpack the New Future of Work Report 2025 and explore the ideal AI-driven working world. Plus, is AI a tool or a collaborator? And…

New Future of Work 2026 | Jaime Teevan, Jenna Butler, Jake Hofman, Rebecca Janssen

Publication

RIB: Robust Learning-based Index Benefit Estimation

Sifan Chen, Chenning Wu, Yinan Jing, Wentao Wu, Zhenying He, Kai Zhang, X. Sean Wang

Proceedings of the ACM on Management of Data (SIGMOD 2026) | April 2026, Vol 4(1)

Publication

GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes

Saman Khamesian, Srilekha Balaji, D. Shi, S. M. Carpenter, Daniel E. Rivera, W. B. Knox, Peter Stone, Hassan Ghasemzadeh

April 2026

arXiv | April 2026

Publication

Computer-Using World Model

Yiming Guan, Rui Yu, John Zhang, Lu Wang, Chaoyun Zhang, Liqun Li, Bo Qiao, Si Qin, He Huang, Fangkai Yang, Pu Zhao, Lukas Wutschitz, Samuel Kessler, Huseyin Atahan Inan, Robert Sim, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

ICLR’26 Workshop on World Models | April 2026

Project

Publication

Predicting Neuromodulation Outcome for Parkinson’s Disease with Generative Virtual Brain Model

Siyuan Du, Siyi Li, Shuwei Bai, Ang Li, Haolin Li, Mingqing Xiao, Yang Pan, Dongsheng Li, Weidi Xie, Yanfeng Wang, Ya Zhang, Chencheng Zhang, Jiangchao Yao

March 2026

arXiv | March 2026

Publication

DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization

H. An, Sihyun Kim, Chaerim Lim, Hyunjoong Kim, Rathijit Sen, Sangmin Jung, Hye Yoon Lee, Dongwook Kim, Takki Yu, Jinkyu Jeong, Youngsok Kim, Kwanghyun Park

March 2026

arXiv | March 2026

Career Opportunity

Principal Data Scientist – Industry Solutions Delivery (ISD) Engineering & Architecture Group

Posted: March 19, 2026

Location: Redmond, WA, US; Remote (US)

Research Area(s): Data platforms and analytics

The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global consulting and engineering organization that supports Microsoft’s most complex and leading-edge customer engagements. As a Principal Data Scientist you will combine technical…

Tool

Chartifact

Declarative, interactive data documents Chartifact is a low-code document format for creating interactive, data-driven pages such as reports, dashboards, and presentations. It travels like a document and works like a mini app. Designed for use…

GitHub

Publication

Position: Science of AI Evaluation Requires Item-level Benchmark Data

Hang Jiang, Susu Zhang, Xiaoyuan Yi, Xing Xie, Ziang Xiao

February 2026

arXiv | February 2026