News
TDAI’s Alex Davis Presents at Ohio State’s AI Fluency Forum
Alex Davis, Senior Data Scientist at The Ohio State University’s Translational Data Analytics Institute (TDAI), presented on behalf of the institute at the 2025 AI Fluency Forum, hosted by the Office…
TDAI Co-Director, Co-Author of New Software
TDAI Core Faculty Member Gil Bohrer, along with lead author Justine Missik and a team of Ohio State researchers, has developed ECODATA, a new open-source software suite designed to simplify the…
TDAI Members Contribute to Award-Winning AI Research at PEARC25
TDAI Director Tanya Berger-Wolf and Member Rajiv Ramnath were co-authors on the paper, “ML Field Planner: Analyzing and Optimizing ML Pipelines for Field Research,” which earned the Best Full…
Ping Zhang Elected to IAHSI
The Translational Data Analytics Institute (TDAI) proudly congratulates Dr. Ping Zhang on his election to the esteemed 2025 Class of Academy Fellows of the International Academy of Health Sciences…
Dennis Hirsch Invested as Lawrence “Larry” Herman Professor in Law
The Translational Data Analytics Institute is proud to congratulate affiliate faculty member Dennis Hirsch, who was formally invested as the Lawrence "Larry" Herman Professor in Law at the Moritz…
TDAI Affiliate Qin Ma Collaborates on Lab Paper in Nature Made
A landmark paper on the tumor microbiome, which is microbial genomes detected within tumors and adjacent normal tissues, was published today in Nature Methods after nearly two years of…
Bold New Year of Research: Kick-Off Recap
TDAI Launches a Bold New Year of Research at Annual Kickoff Event
On August 21, 2025, the Translational Data Analytics Institute (TDAI) at The Ohio State University welcomed faculty,…
TDAI Hosts the International Conference on Intelligent Biology and Medicine (ICIBM 2025)
We were proud to welcome the 13th International Conference on Intelligent Biology and Medicine (ICIBM 2025) to Columbus, Ohio, on August 3–5, 2025, hosted in the Ideation Zone at Pomerene Hall (…
TDAI Catalyst Grant Fuels Breakthrough in Explainable Machine Learning for Agricultural Water Management
TDAI Catalyst Grant Fuels Breakthrough in Explainable Machine Learning for Agricultural Water ManagementA new study published in Agricultural Water…