Welcome to Wang Lab at IU Indianapolis

The Wang Lab aims to quantitatively explore the relationship between cell organization structure and function in complex biological systems, and develop corresponding computational models in translational medicine, including kidney disease, liver disease, neurological disorders, cancer, organoid development, and optical psychological research.

There are three main areas of research:

  1. Deep learning and machine learning approaches in modeling single-cell and spatial transcriptomics: Developing noval deep learning algorithms for biological questions using single cell multiomics and spatial transcriptomics
  2. Data analysis and applications in biological discovery: Using machine learning and related computational approaches for data analysis in diverse biological discoveries
  3. Software and webserver development: Developing bioinformatic software and webserver for biological researchers

Joining Wang Lab

If you are interested in joining please go to the recruitment page.

Funding

We are grateful for funding from the National Institute of Health.

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News

Sep 28, 2026

Yu Zhong have been selected as an IU ACI Student Fellow for Fall 2026

Aug 26, 2026

Dr Juexin Wang is invited to give a talk at NIDDK-CR Data Science and Meet the Expert Webinar Series

Jul 7, 2026

Wang Lab is officially awarded by a New R01 from NIH NLM, https://news.iu.edu/luddy/live/news/nih-grant-awarded-to-luddy-professor-wang

Jan 1, 2026

Welcome new PhD student Yu Zhong

Aug 19, 2025

TrimNN paper is online at Nature Communications, https://www.nature.com/articles/s41467-025-63141-7

Nov 14, 2023

BSP paper is online at Nature Communications, https://www.nature.com/articles/s41467-023-43256-5

Aug 9, 2023

Wang Lab is officially awarded by a New R01 from NIH/NIDDK and NSF, https://news.iu.edu/live/news/31830-researchers-using-ai-to-detect-root-of-kidney

Mar 24, 2023

Dr Juexin Wang is now an associate member of the Indiana University Melvin and Bren Simon Comprehensive Cancer Center

Mar 14, 2023

Our BSP paper is online at biorxiv

... see all News