Archive | Uncategorized

Jaemin Yang (Doctoral student in Informatics) has been working on ways to represent biomedical pathways using structures from nuclear energy. In the recent Computational Science Hackathon he used large language models to automate that process and placed second in the Ashby Prize. There is a great photo of Jaemin in the NCAS story (2025 Ashby […]

I am excited to share that the Midwest Big Data Innovation Hub (MBDH) won the Synergy Award from the Chicago Council on Science and Technology (C2ST). It was great to learn more about the Council’s inspiring efforts and an honor to accept the award on behalf of the many people who have contributed to the MBDH – particularly John MacMullen who […]

I am looking forward to giving a talk tomorrow (Fri Oct 14,12-1) at the MSB Auditorium (Room 274) Healthy People 2030 and the All of Us Program demonstrate how human health is influenced by factors beyond direct patient/physician interactions, sometimes referred to as the exposome. A prime example is the increasing number of chemicals humans […]

I will be presenting at the Health Science Librarians of Illinois (HSLI) Annual Conference on September 8 (https://hsli.org/conference/). Evidence-based Librarianship and the Case for Quality over Quantity Librarians have long played a critical role in teams that conduct systematic reviews. They partner with investigators to carefully construct search strategies that ensure all relevant studies are […]

I am looking forward to talking with folks from the Biomedical Informatics Center at George Washington University next week about “Using semantics to scale up evidence-based chemical risk-assessments and the implications to cancer research.” Current methods used to conduct chemical risk assessments do not scale to recent regulatory changes such as the European Union’s REACH […]

Just wanted to share our new paper, which uses explicit and observational claims from the Claim Framework to scale up evidence-based chemical risk-assessments, was just published https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0260712.  This work was conducted with Jodi Flaws .

Don Keefer presented our paper entitled The Reproducible Data Reuse (ReDaR) Framework to Capture and Assess Multiple Data Streams at ASIS&T last week (see the full paper here)